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Stay abreast of cutting-edge AI research trends, including LLM, Agentic AI, Diffusion, and Inference acceleration, and explore integration opportunities with our proprietary NPU.
Lead groundbreaking AI research aimed at publication in top-tier academic conferences.
Forge research collaborations with prestigious global institutions and manage associated projects.
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Furiosa AI
Job ResponsibilitiesStay abreast of cutting-edge AI research trends, including LLM, Agentic AI, Diffusion, and Inference acceleration, and explore integration opportunities with our proprietary NPU.Lead groundbreaking AI research aimed at publication in top-tier academic conferences.Forge research collaborations with prestigious global institutions and manag…
Furiosa AI
Key ResponsibilitiesManage and operate the testing infrastructure for our software and hardware solutions.Conduct operations and maintenance on bare-metal equipment utilized for evaluations.Support the evaluation infrastructure to ensure successful product validation.
Key ResponsibilitiesDevise and execute comprehensive verification strategies for block/IP/SoC, establishing test benches to facilitate effective verification at various levels.Create and implement functional testing protocols based on the established verification test plans.Lead the design verification process to successful completion, adhering to defined metrics for functional and code coverage.Analyze, troubleshoot, and rectify functional discrepancies in the design, working closely with the design team.Engage in collaboration with cross-disciplinary teams, including Design, Modeling, Emulation, and Silicon Validation, to ensure superior design quality.
Key ResponsibilitiesIntegrate and validate IP blocks within the System on Chip (SoC) architecture while assisting in the physical implementation process.Formulate specifications, architecture, and operational scenarios at the SoC level.Comprehend standard interface specifications (e.g., PCIe) and chip operational scenarios to effectively configure integrated IP blocks.Conduct performance analyses through chip-level simulations focusing on bus and memory bandwidth, alongside FPGA prototyping.
Key ResponsibilitiesDesign, develop, and sustain Linux PCIe device drivers and kernel modules to optimize system performance.Enhance PCIe subsystem functionality, focusing on DMA, IOMMU, interrupts, and BAR mapping.Create user-space libraries and APIs that facilitate high-speed data transfers.Collaborate with hardware and firmware teams to construct comprehensive PCIe I/O pipelines.Devise effective memory management techniques and implement zero-copy data transfer mechanisms.
About the RoleWe are seeking a dedicated Security Engineer to report directly to the CTO. This role is instrumental in establishing the company's security framework and implementing a Zero Trust architecture across our organization.You will be responsible for developing security policies, configuring systems, managing accounts, controlling access, ensuring cloud security, and conducting penetration testing.Key ResponsibilitiesEstablish and execute an enterprise security strategy and policies based on Zero Trust principles.Build and operate identity and access management systems (SSO, IAM, RBAC, etc.).Design and configure security architecture for SaaS and cloud infrastructure (AWS, GCP, etc.).Diagnose and enhance security vulnerabilities within internal systems and services.Collaborate with development and infrastructure teams to integrate security practices (code reviews, CI/CD security, etc.).Set up and manage incident response systems and monitoring environments.
Upstage AI
At Upstage AI, we specialize in leveraging AI technology to solve complex business challenges. Our vision, "Making AI Beneficial," and our mission, "Building Intelligence for the Future of Work," drive us to deliver AI products and solutions that enhance productivity through advanced decision-making support and cost reduction. We empower businesses to innovate their processes for more effective growth.Our goal is to democratize AI technology by offering user-friendly AI solutions. We possess cutting-edge OCR technology and Key-Value extraction capabilities for meaningful information retrieval from documents. Recently, we have unveiled a Document Parsing model that analyzes various document layouts. With these advancements, Upstage AI provides tailored AI solutions that maximize operational efficiency and productivity, ensuring AI delivers significant value in real-world business contexts.We also offer Private LLM services optimized for business environments, enabling companies to enhance operational efficiency. Our API series enables easy access to world-class AI models across various sectors, contributing to our clients' business success. Among our offerings, Upstage Document AI stands out with its superior OCR and information extraction capabilities, aimed at automating and streamlining tedious document processes.The AI DevOps team is a core engineering unit focused on designing, building, developing, and operating Upstage's AI products and services to create value for our customers. We are responsible for automating the deployment of AI-based solutions and establishing a stable operational framework, designing delivery pipelines tailored to client environments and developing automation tools and operational standards for efficient deployment and maintenance.Additionally, we foster trust-based technology partnerships by understanding use cases across various industries and resolving client-specific challenges on-site.The AI DevOps team thrives on a culture of continuous improvement and innovation. We apply the latest technologies to solve practical use case problems across different industries, valuing the experience of rapid growth. For instance, to ensure the stable operation of numerous client systems, we develop internal solutions such as deployment automation tools, inspection management tools, and monitoring tools, collaborating with product teams as needed to contribute to product-level enhancements.DevOps is not just an operational unit; it is an engineering organization that technically realizes client business growth, serving as a bridge that connects development, operations, and customer experience. Here, you will find the opportunity to identify essential development and design elements in the ever-evolving AI industry and directly contribute to our clients' business success.
We invite you to submit your CV in English, highlighting your English proficiency level.At Mindrift, we connect talented professionals with exciting project-based AI opportunities for top technology firms, focusing on the assessment, evaluation, and enhancement of AI systems. Please note that participation is project-based and not considered permanent employment.Opportunity OverviewEach project presents distinct tasks; however, contributors might engage in the following activities:Designing innovative computational engineering problems that reflect authentic engineering workflows;Creating problems that necessitate Python programming for engineering calculations and simulations;Ensuring problems are computationally demanding and involve numerical methods or iterative solutions;Developing problems that include system design, optimization, and analysis;Base problems on real-world research challenges or practical engineering applications;Validating solutions using Python with established engineering libraries;Clearly documenting problem statements while providing verified correct answers.Ideal Candidate ProfileThis role is suited for engineers with Python expertise who are open to part-time, non-permanent project work. The ideal candidate will possess:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming language is also acceptable;A minimum of 2 years of professional experience in applied, research, or teaching environments;An understanding of practical engineering constraints and approximations;Strong written English communication skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessSteps include: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentFor this project, expected task commitments are around 10–20 hours per week during active project phases, depending on specific project requirements. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $37 per hour, contingent upon their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Note that other platform projects may present different earning levels based on their specific requirements.
We invite you to submit your CV in English, including your proficiency level in the language.At Mindrift, we specialize in connecting experts with project-based AI opportunities in collaboration with leading technology firms, centering on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and not aimed at permanent employment.Project OverviewEach project presents unique challenges, and contributors may be tasked with:Designing innovative computational engineering problems that mimic genuine engineering workflows;Creating challenges that necessitate Python programming for engineering calculations and simulations;Ensuring that these problems are computationally demanding, requiring numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Grounding problems in actual research challenges or practical engineering applications;Verifying solutions through Python, utilizing standard engineering libraries;Documenting problem statements with clarity and providing verified accurate answers.Qualifications We SeekThis role is ideal for engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Process OverviewStep 1: Apply → Step 2: Pass qualifications → Step 3: Join a project → Step 4: Complete tasks → Step 5: Get compensated.Project Time CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, based on project requirements. This is an estimate and does not guarantee a fixed workload.Compensation DetailsContributors can earn up to $37 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skills. Please note that other projects may offer different earning levels based on their specific requirements.
Furiosa AI
Key ResponsibilitiesDesign and define architecture/microarchitecture specifications while taking full ownership of one or more chip modules, implementing them in RTL.Achieve convergence of functionality and Power, Performance, Area (PPA) within the design.Develop and refine designs in RTL (System Verilog or other HDLs), iterating to optimize power consumption, timing, and area efficiency.Construct straightforward test benches and troubleshoot intricate logic simulations.Minimum QualificationsA Master's degree in Electrical Engineering, Computer Science, or equivalent practical experience.A minimum of 2 years of relevant industry experience in chip design, particularly in RTL design (architecture and implementation), logic synthesis, verification, and timing closure.Proficient in implementing microprocessor simulators using C++ or other high-level programming languages.Experience in modeling the PPA of designs.Familiarity with scripting languages for automating simulation and analysis processes.Preferred QualificationsA Ph.D. in Electrical Engineering, Computer Science, or related field is advantageous.Experience in accelerator design is a plus.Knowledge of highly pipelined designs and multiple-clock-domain designs is preferred.Understanding of machine learning algorithms, compiler technologies, processor design, accelerators, and memory hierarchies.Familiarity with Chisel or RISC-V architectures is an advantage.Contact InformationFor inquiries, please reach out to: recruit@furiosa.ai
Key ResponsibilitiesDevelop and maintain test automation solutions to validate NPU hardware and associated software stacks.Enhance efficiency in large-scale evaluation tasks through the maintenance of automation scripts and frameworks.Design solutions for structuring, analyzing, and visualizing evaluation data.Support the operation of testing environments based on CI/CD methodologies.
toloka-ai seeks a freelance AI trainer with experience in civil engineering and Python programming. This contract position is remote and open to candidates based in South Korea. Key responsibilities Apply civil engineering expertise and Python skills to train and support AI systems Contribute to maintaining high quality standards for AI solutions Who will thrive in this role This role suits those who blend technical knowledge with a genuine interest in technology and education. It offers an opportunity to play a part in advancing artificial intelligence.
Key ResponsibilitiesAssess the Power, Performance, and Area (PPA) metrics of our designs during the chip architecture planning phase.Conduct synthesis, perform logic equivalence checking, develop SDC and UPF, and execute static timing analysis.Collaborate effectively with design houses to ensure optimal project outcomes.
About the TeamThe AI Success Engineer team at OpenAI collaborates with some of the world's most forward-thinking organizations to convert cutting-edge artificial intelligence into significant business outcomes. We support customers from initial deployment to large-scale enterprise integration, encompassing technical integration, workflow transformation, and ongoing product delivery.Our clientele includes rapidly growing digital natives as well as leading global enterprises, government bodies, and educational institutions. Each engagement represents a chance to influence the way AI reshapes work, productivity, and innovation. This pivotal role is integral to that mission.About the RoleAs an AI Success Engineer, you will serve as the primary post-sales contact for a select group of OpenAI's most esteemed clients. Your mission is to enhance account health and adoption, ensure technical readiness, uncover new use cases, and deliver measurable value through OpenAI's platform.This role uniquely combines technical leadership, program management, customer advisory, and product influence. You'll collaborate closely with client teams, analyze workflows, lead configuration and enablement, oversee deployment strategies, and guide clients toward impactful use cases that highlight the full potential of our platform.You will engage with Sales, Solutions Architecture, Product, and Research teams to ensure a seamless and successful customer experience at every touchpoint. Success in this position means accelerating adoption, deepening customer engagement, paving the way for strategic use cases that reach production, and helping our clients showcase tangible business value.
Key ResponsibilitiesCraft and implement a robust end-to-end security architecture tailored for SoC-based products.Develop features for Secure Boot and Anti-rollback mechanisms.Manage Key Provisioning alongside Hardware Root of Trust.Oversee Secure Lifecycle State management (LCS) for firmware, keys, and devices.Design and integrate security modules to enhance firmware and system-level defenses.Conduct thorough vulnerability assessments, attack surface evaluations, and implement memory protection hardening strategies.Integrate, validate, and optimize hardware cryptographic engines including AES/GCM engines, TRNG, PKA, RSA, PQC, and hash accelerators.Establish secure firmware update and rollback protocols along with comprehensive product lifecycle controls.QualificationsDeep understanding of embedded security principles, including Secure Boot, key management, and cryptography.Demonstrated experience with TLS, X.509, ECC, AES, and various cryptographic or security libraries.Proficient in C/C++ or Rust for developing secure system software.Experience identifying and analyzing security vulnerabilities in SoC/FPGA-based systems.Practical experience with hardware cryptographic engines and security IP blocks (e.g., AES/GCM, SHA accelerators, TRNG/DRBG, PKA).Solid understanding of firmware and key lifecycle management.Preferred QualificationsFamiliarity with TPM, HSM, TrustZone, OP-TEE, or related hardware security architectures.Experience in implementing secure firmware signing, provisioning, and deployment pipelines.Background in validating cryptographic engines under standards such as FIPS 140-3, NIST CMVP.Security engineering experience specifically for AI accelerators, networking chips, or SoCs.Contribute to development practices aligned with standards such as FIPS, PSA Certified, CAVP, and CMVP.
Please submit your CV in English and specify your English proficiency level. Mindrift offers freelance, project-based work for professionals skilled in materials science and Python. Assignments focus on assessing and improving AI systems for leading technology companies. This is not a permanent position, but rather a flexible opportunity to contribute expertise on a per-project basis. Role overview Material Scientists with Python experience will design and validate engineering challenges for AI projects. Tasks change from project to project, but often include: Creating materials engineering problems that mirror real-world scenarios Developing tasks requiring Python programming for simulations or calculations Ensuring challenges involve computationally intensive work, such as using numerical methods or iterative solutions Formulating problems focused on system design, optimization, or analytical techniques Basing assignments on current research topics or practical engineering cases Validating solutions using Python and standard engineering libraries Documenting problem statements and providing clear, accurate solutions Requirements Degree in Material Science or a related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus At least 2 years of relevant experience in industry, research, or education Solid grasp of practical engineering constraints and approximations Excellent written English (C1 level or above) How the process works Apply Pass qualification(s) Join a project Complete assigned tasks Receive payment Time commitment Expect to spend about 10 to 20 hours per week during active project periods. Actual hours depend on project needs and may vary outside of assigned phases. Compensation Contributors can earn up to $35 per hour, depending on skills, speed, and project complexity. Rates may differ for other assignments on the platform based on their requirements. Location: Remote , South Korea
Join our dynamic team at Toss as an AI Engineer in the AI Operation Center! You will be part of an innovative team dedicated to building a real-time voice conversation system that interacts with customers, moving beyond traditional text chatbots to actual phone calls. Our AI must navigate various conversational scenarios, including interruptions, context shifts, and silences, to maintain a natural dialogue.This position will expose you to cutting-edge technologies such as LLM, Multi-Agent systems, Automatic Prompt Optimization (APO), and LLM-as-Judge, applied in the challenging environment of customer interactions. You'll be part of a team that doesn’t just stop at reading research papers but actively creates solutions based on real call data.
Please submit your CV in English and indicate your level of English proficiency.Mindrift specializes in connecting experts with project-based AI opportunities for top-tier tech companies, with a focus on testing, evaluating, and enhancing AI systems. Note that participation is project-based and does not constitute permanent employment.Opportunity OverviewEach project will present distinct tasks, and contributors may be involved in:Designing unique computational physics problems that replicate authentic physics research workflows;Creating problems that necessitate Python programming for resolution (utilizing libraries like Numpy, SciPy, Sympy);Ensuring problems are computationally intensive and infeasible to solve manually within reasonable timeframes (days/weeks);Developing problems that involve complex reasoning chains in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research challenges or practical applications derived from physics;Validating solutions through Python with standard physics simulation libraries;Clearly documenting problem statements alongside verified correct answers.Candidate ProfileThis opportunity is ideal for optical engineers experienced in Python and interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any programming language will be considered equivalent;At least 2 years of professional experience, whether in applied research or teaching;Experience with numerical simulation techniques;Capability to design problems that reflect genuine physics research workflows;Innovative thinking in problem design across various physics domains;Knowledge of physics modeling and approximation methods;Strong written English skills (C1+ level).Application ProcessTo apply, please submit your application, pass the required qualifications, join a project, complete assigned tasks, and receive compensation.Time CommitmentThe project is expected to demand approximately 10–20 hours per week during active phases, contingent upon project specifications. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $35 per hour, depending on their level of expertise and contribution pace. Compensation may vary across projects based on their scope, complexity, and required expertise.
Join Our Team of InnovatorsAt 42dot, we are at the forefront of autonomous driving technology, and we are seeking a Senior Physical AI Engineer to join our dynamic team. Our mission is to develop cutting-edge solutions that enhance Motion Planning algorithms, ensuring the safety and reliability of autonomous systems. As a part of our team, you will leverage extensive datasets to analyze driving patterns, enabling us to create algorithms that provide smooth and intuitive vehicle control. Together, we will push the boundaries of what is possible in autonomous driving.Key ResponsibilitiesLead the design and implementation of sophisticated machine learning models tailored for autonomous driving, focusing on perception, decision-making, and control mechanisms.Manage the complete machine learning pipeline, overseeing data collection, preprocessing, model training, optimization, and deployment.Utilize advanced deep learning techniques, including reinforcement learning, imitation learning, and self-supervised learning, to enhance the performance of autonomous systems.Fine-tune model performance to operate effectively under real-world driving scenarios, ensuring flawless integration with vehicle software architectures.Work collaboratively with interdisciplinary teams encompassing software, hardware, and vehicle control to align machine learning systems with vehicle frameworks.Provide mentorship to junior engineers, fostering best practices in machine learning development.Stay abreast of the latest advancements in machine learning and autonomous driving, contributing innovative ideas to the team.
OpenAI
About Our TeamJoin the innovative AI Deployment Engineering team at OpenAI, where we are committed to the safe and efficient deployment of cutting-edge Generative AI applications for developers and enterprises. As trusted advisors and thought leaders, we collaborate closely with customers to develop a robust backlog of GenAI use cases tailored to their industries, guiding them through to production with expert technical support. In your role as an AI Deployment Engineer, you will empower major corporations to revolutionize their operations through transformative solutions in customer service, automated content generation, and pioneering applications leveraging our state-of-the-art models.About the PositionWe seek a proactive solutions leader with a product-oriented mindset to partner with our clients, ensuring they derive genuine business value from Generative AI. You will collaborate with senior customer executives to craft a strategic GenAI vision and pinpoint the most impactful applications. Additionally, you will work hand-in-hand with their technical teams to transition from prototype to full-scale production. By adopting a comprehensive approach to their requirements, you will design an enterprise architecture utilizing ChatGPT, the OpenAI API, and other services to maximize value for our customers. This position requires close collaboration with Sales, Solutions Engineering, Applied Research, and Product teams, and reports directly to the Head of Technical Success in the APAC region.This role is based in Seoul, South Korea, with a hybrid work model of three days in the office each week. Relocation assistance is available for new hires.Key Responsibilities:Become deeply integrated with our key platform customers as their technical lead, providing guidance and support to develop innovative applications utilizing our API.Collaborate with senior stakeholders to identify optimal applications of GenAI within their sector and establish a thorough backlog to support their AI initiatives.Actively engage to expedite customer time-to-value by creating hands-on prototypes and delivering strategic insights.Build and nurture relationships with customer leadership and stakeholders to facilitate the successful implementation and scaling of their applications.Contribute to our open-source resources for developers and enterprises.Enhance the Solutions Architect function by sharing knowledge, documenting best practices, and publishing resources in our internal and external repositories.Assess, synthesize, and present high-impact strategies that align with customer goals.
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Browse all companies, explore by city & role, or SEO search pages. View directory listings: all jobs, search results, or location & role pages.
Furiosa AI
Job ResponsibilitiesStay abreast of cutting-edge AI research trends, including LLM, Agentic AI, Diffusion, and Inference acceleration, and explore integration opportunities with our proprietary NPU.Lead groundbreaking AI research aimed at publication in top-tier academic conferences.Forge research collaborations with prestigious global institutions and manag…
Furiosa AI
Key ResponsibilitiesManage and operate the testing infrastructure for our software and hardware solutions.Conduct operations and maintenance on bare-metal equipment utilized for evaluations.Support the evaluation infrastructure to ensure successful product validation.
Key ResponsibilitiesDevise and execute comprehensive verification strategies for block/IP/SoC, establishing test benches to facilitate effective verification at various levels.Create and implement functional testing protocols based on the established verification test plans.Lead the design verification process to successful completion, adhering to defined metrics for functional and code coverage.Analyze, troubleshoot, and rectify functional discrepancies in the design, working closely with the design team.Engage in collaboration with cross-disciplinary teams, including Design, Modeling, Emulation, and Silicon Validation, to ensure superior design quality.
Key ResponsibilitiesIntegrate and validate IP blocks within the System on Chip (SoC) architecture while assisting in the physical implementation process.Formulate specifications, architecture, and operational scenarios at the SoC level.Comprehend standard interface specifications (e.g., PCIe) and chip operational scenarios to effectively configure integrated IP blocks.Conduct performance analyses through chip-level simulations focusing on bus and memory bandwidth, alongside FPGA prototyping.
Key ResponsibilitiesDesign, develop, and sustain Linux PCIe device drivers and kernel modules to optimize system performance.Enhance PCIe subsystem functionality, focusing on DMA, IOMMU, interrupts, and BAR mapping.Create user-space libraries and APIs that facilitate high-speed data transfers.Collaborate with hardware and firmware teams to construct comprehensive PCIe I/O pipelines.Devise effective memory management techniques and implement zero-copy data transfer mechanisms.
About the RoleWe are seeking a dedicated Security Engineer to report directly to the CTO. This role is instrumental in establishing the company's security framework and implementing a Zero Trust architecture across our organization.You will be responsible for developing security policies, configuring systems, managing accounts, controlling access, ensuring cloud security, and conducting penetration testing.Key ResponsibilitiesEstablish and execute an enterprise security strategy and policies based on Zero Trust principles.Build and operate identity and access management systems (SSO, IAM, RBAC, etc.).Design and configure security architecture for SaaS and cloud infrastructure (AWS, GCP, etc.).Diagnose and enhance security vulnerabilities within internal systems and services.Collaborate with development and infrastructure teams to integrate security practices (code reviews, CI/CD security, etc.).Set up and manage incident response systems and monitoring environments.
Upstage AI
At Upstage AI, we specialize in leveraging AI technology to solve complex business challenges. Our vision, "Making AI Beneficial," and our mission, "Building Intelligence for the Future of Work," drive us to deliver AI products and solutions that enhance productivity through advanced decision-making support and cost reduction. We empower businesses to innovate their processes for more effective growth.Our goal is to democratize AI technology by offering user-friendly AI solutions. We possess cutting-edge OCR technology and Key-Value extraction capabilities for meaningful information retrieval from documents. Recently, we have unveiled a Document Parsing model that analyzes various document layouts. With these advancements, Upstage AI provides tailored AI solutions that maximize operational efficiency and productivity, ensuring AI delivers significant value in real-world business contexts.We also offer Private LLM services optimized for business environments, enabling companies to enhance operational efficiency. Our API series enables easy access to world-class AI models across various sectors, contributing to our clients' business success. Among our offerings, Upstage Document AI stands out with its superior OCR and information extraction capabilities, aimed at automating and streamlining tedious document processes.The AI DevOps team is a core engineering unit focused on designing, building, developing, and operating Upstage's AI products and services to create value for our customers. We are responsible for automating the deployment of AI-based solutions and establishing a stable operational framework, designing delivery pipelines tailored to client environments and developing automation tools and operational standards for efficient deployment and maintenance.Additionally, we foster trust-based technology partnerships by understanding use cases across various industries and resolving client-specific challenges on-site.The AI DevOps team thrives on a culture of continuous improvement and innovation. We apply the latest technologies to solve practical use case problems across different industries, valuing the experience of rapid growth. For instance, to ensure the stable operation of numerous client systems, we develop internal solutions such as deployment automation tools, inspection management tools, and monitoring tools, collaborating with product teams as needed to contribute to product-level enhancements.DevOps is not just an operational unit; it is an engineering organization that technically realizes client business growth, serving as a bridge that connects development, operations, and customer experience. Here, you will find the opportunity to identify essential development and design elements in the ever-evolving AI industry and directly contribute to our clients' business success.
We invite you to submit your CV in English, highlighting your English proficiency level.At Mindrift, we connect talented professionals with exciting project-based AI opportunities for top technology firms, focusing on the assessment, evaluation, and enhancement of AI systems. Please note that participation is project-based and not considered permanent employment.Opportunity OverviewEach project presents distinct tasks; however, contributors might engage in the following activities:Designing innovative computational engineering problems that reflect authentic engineering workflows;Creating problems that necessitate Python programming for engineering calculations and simulations;Ensuring problems are computationally demanding and involve numerical methods or iterative solutions;Developing problems that include system design, optimization, and analysis;Base problems on real-world research challenges or practical engineering applications;Validating solutions using Python with established engineering libraries;Clearly documenting problem statements while providing verified correct answers.Ideal Candidate ProfileThis role is suited for engineers with Python expertise who are open to part-time, non-permanent project work. The ideal candidate will possess:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming language is also acceptable;A minimum of 2 years of professional experience in applied, research, or teaching environments;An understanding of practical engineering constraints and approximations;Strong written English communication skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessSteps include: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentFor this project, expected task commitments are around 10–20 hours per week during active project phases, depending on specific project requirements. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $37 per hour, contingent upon their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Note that other platform projects may present different earning levels based on their specific requirements.
We invite you to submit your CV in English, including your proficiency level in the language.At Mindrift, we specialize in connecting experts with project-based AI opportunities in collaboration with leading technology firms, centering on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and not aimed at permanent employment.Project OverviewEach project presents unique challenges, and contributors may be tasked with:Designing innovative computational engineering problems that mimic genuine engineering workflows;Creating challenges that necessitate Python programming for engineering calculations and simulations;Ensuring that these problems are computationally demanding, requiring numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Grounding problems in actual research challenges or practical engineering applications;Verifying solutions through Python, utilizing standard engineering libraries;Documenting problem statements with clarity and providing verified accurate answers.Qualifications We SeekThis role is ideal for engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Process OverviewStep 1: Apply → Step 2: Pass qualifications → Step 3: Join a project → Step 4: Complete tasks → Step 5: Get compensated.Project Time CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, based on project requirements. This is an estimate and does not guarantee a fixed workload.Compensation DetailsContributors can earn up to $37 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skills. Please note that other projects may offer different earning levels based on their specific requirements.
Furiosa AI
Key ResponsibilitiesDesign and define architecture/microarchitecture specifications while taking full ownership of one or more chip modules, implementing them in RTL.Achieve convergence of functionality and Power, Performance, Area (PPA) within the design.Develop and refine designs in RTL (System Verilog or other HDLs), iterating to optimize power consumption, timing, and area efficiency.Construct straightforward test benches and troubleshoot intricate logic simulations.Minimum QualificationsA Master's degree in Electrical Engineering, Computer Science, or equivalent practical experience.A minimum of 2 years of relevant industry experience in chip design, particularly in RTL design (architecture and implementation), logic synthesis, verification, and timing closure.Proficient in implementing microprocessor simulators using C++ or other high-level programming languages.Experience in modeling the PPA of designs.Familiarity with scripting languages for automating simulation and analysis processes.Preferred QualificationsA Ph.D. in Electrical Engineering, Computer Science, or related field is advantageous.Experience in accelerator design is a plus.Knowledge of highly pipelined designs and multiple-clock-domain designs is preferred.Understanding of machine learning algorithms, compiler technologies, processor design, accelerators, and memory hierarchies.Familiarity with Chisel or RISC-V architectures is an advantage.Contact InformationFor inquiries, please reach out to: recruit@furiosa.ai
Key ResponsibilitiesDevelop and maintain test automation solutions to validate NPU hardware and associated software stacks.Enhance efficiency in large-scale evaluation tasks through the maintenance of automation scripts and frameworks.Design solutions for structuring, analyzing, and visualizing evaluation data.Support the operation of testing environments based on CI/CD methodologies.
toloka-ai seeks a freelance AI trainer with experience in civil engineering and Python programming. This contract position is remote and open to candidates based in South Korea. Key responsibilities Apply civil engineering expertise and Python skills to train and support AI systems Contribute to maintaining high quality standards for AI solutions Who will thrive in this role This role suits those who blend technical knowledge with a genuine interest in technology and education. It offers an opportunity to play a part in advancing artificial intelligence.
Key ResponsibilitiesAssess the Power, Performance, and Area (PPA) metrics of our designs during the chip architecture planning phase.Conduct synthesis, perform logic equivalence checking, develop SDC and UPF, and execute static timing analysis.Collaborate effectively with design houses to ensure optimal project outcomes.
About the TeamThe AI Success Engineer team at OpenAI collaborates with some of the world's most forward-thinking organizations to convert cutting-edge artificial intelligence into significant business outcomes. We support customers from initial deployment to large-scale enterprise integration, encompassing technical integration, workflow transformation, and ongoing product delivery.Our clientele includes rapidly growing digital natives as well as leading global enterprises, government bodies, and educational institutions. Each engagement represents a chance to influence the way AI reshapes work, productivity, and innovation. This pivotal role is integral to that mission.About the RoleAs an AI Success Engineer, you will serve as the primary post-sales contact for a select group of OpenAI's most esteemed clients. Your mission is to enhance account health and adoption, ensure technical readiness, uncover new use cases, and deliver measurable value through OpenAI's platform.This role uniquely combines technical leadership, program management, customer advisory, and product influence. You'll collaborate closely with client teams, analyze workflows, lead configuration and enablement, oversee deployment strategies, and guide clients toward impactful use cases that highlight the full potential of our platform.You will engage with Sales, Solutions Architecture, Product, and Research teams to ensure a seamless and successful customer experience at every touchpoint. Success in this position means accelerating adoption, deepening customer engagement, paving the way for strategic use cases that reach production, and helping our clients showcase tangible business value.
Key ResponsibilitiesCraft and implement a robust end-to-end security architecture tailored for SoC-based products.Develop features for Secure Boot and Anti-rollback mechanisms.Manage Key Provisioning alongside Hardware Root of Trust.Oversee Secure Lifecycle State management (LCS) for firmware, keys, and devices.Design and integrate security modules to enhance firmware and system-level defenses.Conduct thorough vulnerability assessments, attack surface evaluations, and implement memory protection hardening strategies.Integrate, validate, and optimize hardware cryptographic engines including AES/GCM engines, TRNG, PKA, RSA, PQC, and hash accelerators.Establish secure firmware update and rollback protocols along with comprehensive product lifecycle controls.QualificationsDeep understanding of embedded security principles, including Secure Boot, key management, and cryptography.Demonstrated experience with TLS, X.509, ECC, AES, and various cryptographic or security libraries.Proficient in C/C++ or Rust for developing secure system software.Experience identifying and analyzing security vulnerabilities in SoC/FPGA-based systems.Practical experience with hardware cryptographic engines and security IP blocks (e.g., AES/GCM, SHA accelerators, TRNG/DRBG, PKA).Solid understanding of firmware and key lifecycle management.Preferred QualificationsFamiliarity with TPM, HSM, TrustZone, OP-TEE, or related hardware security architectures.Experience in implementing secure firmware signing, provisioning, and deployment pipelines.Background in validating cryptographic engines under standards such as FIPS 140-3, NIST CMVP.Security engineering experience specifically for AI accelerators, networking chips, or SoCs.Contribute to development practices aligned with standards such as FIPS, PSA Certified, CAVP, and CMVP.
Please submit your CV in English and specify your English proficiency level. Mindrift offers freelance, project-based work for professionals skilled in materials science and Python. Assignments focus on assessing and improving AI systems for leading technology companies. This is not a permanent position, but rather a flexible opportunity to contribute expertise on a per-project basis. Role overview Material Scientists with Python experience will design and validate engineering challenges for AI projects. Tasks change from project to project, but often include: Creating materials engineering problems that mirror real-world scenarios Developing tasks requiring Python programming for simulations or calculations Ensuring challenges involve computationally intensive work, such as using numerical methods or iterative solutions Formulating problems focused on system design, optimization, or analytical techniques Basing assignments on current research topics or practical engineering cases Validating solutions using Python and standard engineering libraries Documenting problem statements and providing clear, accurate solutions Requirements Degree in Material Science or a related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus At least 2 years of relevant experience in industry, research, or education Solid grasp of practical engineering constraints and approximations Excellent written English (C1 level or above) How the process works Apply Pass qualification(s) Join a project Complete assigned tasks Receive payment Time commitment Expect to spend about 10 to 20 hours per week during active project periods. Actual hours depend on project needs and may vary outside of assigned phases. Compensation Contributors can earn up to $35 per hour, depending on skills, speed, and project complexity. Rates may differ for other assignments on the platform based on their requirements. Location: Remote , South Korea
Join our dynamic team at Toss as an AI Engineer in the AI Operation Center! You will be part of an innovative team dedicated to building a real-time voice conversation system that interacts with customers, moving beyond traditional text chatbots to actual phone calls. Our AI must navigate various conversational scenarios, including interruptions, context shifts, and silences, to maintain a natural dialogue.This position will expose you to cutting-edge technologies such as LLM, Multi-Agent systems, Automatic Prompt Optimization (APO), and LLM-as-Judge, applied in the challenging environment of customer interactions. You'll be part of a team that doesn’t just stop at reading research papers but actively creates solutions based on real call data.
Please submit your CV in English and indicate your level of English proficiency.Mindrift specializes in connecting experts with project-based AI opportunities for top-tier tech companies, with a focus on testing, evaluating, and enhancing AI systems. Note that participation is project-based and does not constitute permanent employment.Opportunity OverviewEach project will present distinct tasks, and contributors may be involved in:Designing unique computational physics problems that replicate authentic physics research workflows;Creating problems that necessitate Python programming for resolution (utilizing libraries like Numpy, SciPy, Sympy);Ensuring problems are computationally intensive and infeasible to solve manually within reasonable timeframes (days/weeks);Developing problems that involve complex reasoning chains in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research challenges or practical applications derived from physics;Validating solutions through Python with standard physics simulation libraries;Clearly documenting problem statements alongside verified correct answers.Candidate ProfileThis opportunity is ideal for optical engineers experienced in Python and interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any programming language will be considered equivalent;At least 2 years of professional experience, whether in applied research or teaching;Experience with numerical simulation techniques;Capability to design problems that reflect genuine physics research workflows;Innovative thinking in problem design across various physics domains;Knowledge of physics modeling and approximation methods;Strong written English skills (C1+ level).Application ProcessTo apply, please submit your application, pass the required qualifications, join a project, complete assigned tasks, and receive compensation.Time CommitmentThe project is expected to demand approximately 10–20 hours per week during active phases, contingent upon project specifications. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $35 per hour, depending on their level of expertise and contribution pace. Compensation may vary across projects based on their scope, complexity, and required expertise.
Join Our Team of InnovatorsAt 42dot, we are at the forefront of autonomous driving technology, and we are seeking a Senior Physical AI Engineer to join our dynamic team. Our mission is to develop cutting-edge solutions that enhance Motion Planning algorithms, ensuring the safety and reliability of autonomous systems. As a part of our team, you will leverage extensive datasets to analyze driving patterns, enabling us to create algorithms that provide smooth and intuitive vehicle control. Together, we will push the boundaries of what is possible in autonomous driving.Key ResponsibilitiesLead the design and implementation of sophisticated machine learning models tailored for autonomous driving, focusing on perception, decision-making, and control mechanisms.Manage the complete machine learning pipeline, overseeing data collection, preprocessing, model training, optimization, and deployment.Utilize advanced deep learning techniques, including reinforcement learning, imitation learning, and self-supervised learning, to enhance the performance of autonomous systems.Fine-tune model performance to operate effectively under real-world driving scenarios, ensuring flawless integration with vehicle software architectures.Work collaboratively with interdisciplinary teams encompassing software, hardware, and vehicle control to align machine learning systems with vehicle frameworks.Provide mentorship to junior engineers, fostering best practices in machine learning development.Stay abreast of the latest advancements in machine learning and autonomous driving, contributing innovative ideas to the team.
OpenAI
About Our TeamJoin the innovative AI Deployment Engineering team at OpenAI, where we are committed to the safe and efficient deployment of cutting-edge Generative AI applications for developers and enterprises. As trusted advisors and thought leaders, we collaborate closely with customers to develop a robust backlog of GenAI use cases tailored to their industries, guiding them through to production with expert technical support. In your role as an AI Deployment Engineer, you will empower major corporations to revolutionize their operations through transformative solutions in customer service, automated content generation, and pioneering applications leveraging our state-of-the-art models.About the PositionWe seek a proactive solutions leader with a product-oriented mindset to partner with our clients, ensuring they derive genuine business value from Generative AI. You will collaborate with senior customer executives to craft a strategic GenAI vision and pinpoint the most impactful applications. Additionally, you will work hand-in-hand with their technical teams to transition from prototype to full-scale production. By adopting a comprehensive approach to their requirements, you will design an enterprise architecture utilizing ChatGPT, the OpenAI API, and other services to maximize value for our customers. This position requires close collaboration with Sales, Solutions Engineering, Applied Research, and Product teams, and reports directly to the Head of Technical Success in the APAC region.This role is based in Seoul, South Korea, with a hybrid work model of three days in the office each week. Relocation assistance is available for new hires.Key Responsibilities:Become deeply integrated with our key platform customers as their technical lead, providing guidance and support to develop innovative applications utilizing our API.Collaborate with senior stakeholders to identify optimal applications of GenAI within their sector and establish a thorough backlog to support their AI initiatives.Actively engage to expedite customer time-to-value by creating hands-on prototypes and delivering strategic insights.Build and nurture relationships with customer leadership and stakeholders to facilitate the successful implementation and scaling of their applications.Contribute to our open-source resources for developers and enterprises.Enhance the Solutions Architect function by sharing knowledge, documenting best practices, and publishing resources in our internal and external repositories.Assess, synthesize, and present high-impact strategies that align with customer goals.
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