Senior Software Engineer - GTPN Platform

Join Our Team at AirwallexAt Airwallex, we are redefining the financial landscape for global businesses through our integrated payment and financial solutions. With a unique blend of proprietary technology and infrastructure, we empower over 200,000 businesses—including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN—to seamlessly manage their…

Join our dynamic team at bjakcareer as a Senior Software Engineer, specializing in JavaScript and TypeScript. In this fully remote role, you will be integral in designing and developing innovative software solutions that drive our mission forward.Your expertise will influence our technology stack and product strategies while working collaboratively with cross-functional teams. This position offers a unique opportunity to enhance your career in a fast-paced, technology-driven environment.

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.

Welcome to the Journey of Joining the Daangn Team!At Daangn, we are committed to fostering an environment where individuals can grow alongside the company's success.Our recruitment team is here to assist you in achieving those joyful moments of collaboration with amazing colleagues. Introducing the ML Infrastructure TeamThe ML Infrastructure Team within our Infrastructure Department is responsible for developing a robust and scalable machine learning infrastructure that ensures effective service delivery and efficient operation of Daangn’s machine learning-based services. Machine learning is extensively utilized at Daangn to enhance service quality and improve user convenience across various domains, including feed recommendations, ad recommendations, and service operations. The ML Infrastructure Team handles everything from data processing, model training, model serving, to the deployment processes necessary for machine learning service development. Daangn's GenAI Platform Building Serverless ML Training Infrastructure: Vertex AI Pipelines & TFX ML Infrastructure with GCP | 2025 Daangn GCP MeetupYour ResponsibilitiesDevelop and manage model servers and serving systems for efficient deployment of various machine learning models.Develop and maintain ML infrastructure SDKs, frameworks, and training systems used across the organization.Create specialized monitoring systems for machine learning services to detect quality changes early.Implement various optimization methods across the machine learning infrastructure to enhance development iteration speed and resource efficiency.We Are Looking ForA proficient user of one or more programming languages such as Python or C++.Strong understanding of the infrastructure required for training and serving machine learning models.Over 7 years of experience in backend service or machine learning service development/operations.A desire to improve machine learning infrastructure through solid software engineering skills.Experience in developing and operating GPU clusters.Preferred QualificationsFamiliarity with cloud services like AWS and GCP, with practical experience.A deep understanding of the machine learning ecosystem and contributions to open source projects (e.g., TensorFlow, PyTorch, TensorFlow Extended).A keen interest in new technological trends and a willingness to learn.Additional InformationFor full-time hires, there is a 3-month probation period.We prioritize individuals with disabilities and veterans according to the Employment Promotion and Vocational Rehabilitation Act and the Act on the Honorable Treatment and Support of Veterans.Application Process1. Document Screening → 2. Video Interview → 3. Technical Interview → 4. Culture Fit Interview and Reference Check → 5. Compensation Negotiation → 6. Final Acceptance and OnboardingGo to Daangn Joining Journey Guide

About Speechify Speechify builds tools that help people overcome reading barriers and improve how they learn. More than 50 million users turn to our text-to-speech products to listen to content from PDFs, books, Google Docs, news articles, and websites. Our suite spans iOS, Android, Mac, Chrome Extension, and Web App. Google named us Chrome Extension of the Year, and Apple recognized us with the 2025 Design Award for Inclusivity. The team includes nearly 200 professionals working remotely from around the world. Our group brings together frontend and backend engineers, AI researchers, and experts from companies like Amazon, Microsoft, and Google, along with graduates from top schools such as Stanford. Speechify operates fully distributed, with no physical office. Role Overview: Senior Software Engineer – Windows/Desktop Applications This position focuses on building and maintaining native Windows desktop applications at Speechify. The role is based in Seoul, South Korea. What You Will Do Design, architect, and develop native Windows desktop apps using Windows App SDK, WinUI (or similar frameworks), C#, XAML, and occasionally C++. Establish and maintain standards for Windows desktop development, emphasizing code architecture, performance, memory management, responsive UI, cross-version compatibility (Windows 10/11+), and long-term maintainability. Drive accessibility by integrating and validating support for accessibility APIs such as Microsoft UI Automation. Ensure UI controls, focus management, keyboard navigation, and screen reader support meet the needs of users with disabilities. Work closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and the roadmap for the Windows platform. Manage the full feature lifecycle: from concept and design through implementation, testing, release, and ongoing maintenance, always focusing on quality and reliability. Troubleshoot and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, and compatibility challenges. Propose architectural or design solutions as needed.

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.

Join Normal Computing | Unlock Exciting OpportunitiesAt Normal Computing, we create cutting-edge software and hardware solutions that drive technological advancements, particularly in the semiconductor sector, AI infrastructure, and the systems that shape our future. Our collaborative team spans across New York, San Francisco, Copenhagen, Seoul, and London, working together to achieve remarkable goals.Your Impact:We are on the lookout for a passionate DevOps Software Engineer to architect and implement high-performance cloud infrastructure and services. This position presents a unique chance to directly engage in pioneering AI projects within one of the most critical industries — Semiconductors. While previous experience in AI Engineering or the Semiconductor field is appreciated, it is not a prerequisite.Crafting, developing, and managing infrastructure for Normal’s innovative products, automating the development lifecycle, and ensuring system reliability within our Linux environment.Partnering with product and AI teams to establish and enforce DevOps best practices.Deploying and overseeing Normal’s product stack in client environments.Engineering and executing Continuous Integration/Continuous Deployment (CI/CD) pipelines for software and data workflows, incorporating security measures and policy compliance.Implementing best practices for logging, monitoring, and alerting, managing credentials, and ensuring adherence to regulatory standards (e.g., SOC2).Executing ongoing improvements, maintenance, and upgrades across all of Normal’s infrastructure.

Join Us in Creating Future Classic Products! At ChannelTalk, we empower sustainable growth for businesses with our all-in-one AI messenger, designed to guide businesses in their direction through meaningful customer conversations. With the philosophy that 'the customer is the answer', we combine CRM-based consultation experiences with AI automation, offering a single solution that enhances customer service efficiency and improves customer experiences. We have achieved over 20% market share in Japan and are rapidly expanding into the U.S. market to establish ourselves as a global SaaS leader. We collaborate with top talent to create a product that symbolizes a generation, akin to Google Search or the iPhone—what we call a “future classic” product. We have many exciting projects ahead! We are looking for talented individuals to join ChannelTalk as a Software Engineer (Backend, Frontend, iOS, Android)! Our development team is divided into Core Team and Feature Team.For more details, please check the following link. (We encourage you to read it!) ChannelTalk Core/Feature Team Overview [Discover the Unique Appeal of ChannelTalk!] Website Blog YouTube Instagram SWE Related Content- CHANNEL DEVTALK 2025- Starting Your Development Career at ChannelTalk- ChannelTalk CTO's Insights on Desired Developers

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.

Welcome to the Journey of Joining the Daangn Team!At Daangn, we are committed to creating an environment where individuals can grow alongside the company's success.The Daangn recruitment team is here to ensure that you can engage in meaningful discussions with wonderful colleagues. Introducing the Software Engineer, Machine Learning RoleThe Software Engineer specializing in Machine Learning at Daangn leverages machine learning to enhance various services, ultimately improving user satisfaction and fostering connections within local communities. This role involves recommending personalized and engaging content for users on home feeds and detail pages, as well as facilitating efficient advertising to help local residents promote their offerings.Key Responsibilities[Feed Quality Team]Develop and enhance ML models to boost user engagement and foster diverse and serendipitous discoveries on the feed.Analyze data to formulate hypotheses, identify improvements based on theoretical foundations, and validate through online experiments to achieve tangible service impact.Develop and refine models for a deeper understanding of users and content.Utilize LLM in various ways to enhance personalized recommendations.[Advertising Recommendation Team]Develop and improve CTR and CVR prediction models, as well as automated bidding, targeting, and pacing models for ad recommendations and rankings.Analyze user behavior data and advertising performance, formulating data-driven hypotheses and validating them through A/B tests to enhance both advertising efficiency and user experience.Recommend meaningful ads to users through candidate ad extraction and ranking models that consider personalization.Enhance advertising targeting accuracy using LLM and the latest AI technologies, deepening the understanding of users and ad content.Who We're Looking ForIndividuals with a solid foundation in machine learning theory and principles.A deep understanding of deep learning (Recommendation, NLP, Graph Neural Networks, Reinforcement Learning, Vision, or more).Experience in conceptualizing efficient code architecture and writing readable code.Preferred QualificationsExperience making a tangible impact on user services through machine learning in a data-driven environment.A keen interest in the latest machine learning and deep learning trends, enjoying reading relevant papers.Experience with ML-based recommendation and advertising systems.Experience deploying machine learning models and systems in large-scale production environments.Familiarity with BigQuery, Cloud Dataflow, Kubeflow, TFX, and TF Serving.Additional InformationThis full-time position includes a 3-month probation period.In accordance with the 'Act on the Promotion of Employment for Persons with Disabilities' and the 'Act on the Honorable Treatment and Support of Veterans', individuals with disabilities and veterans are given preference during the recruitment process.Video interviews will include live coding tests and a brief assessment of ML fundamentals. Please prepare your PC environment for a smooth testing experience.

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.

Who We AreJoin us in setting global standards for video understanding AI! Twelve Labs is dedicated to developing cutting-edge AI models specifically for video content, enabling efficient processing of vast amounts of video data. Our technology offers advanced capabilities for search, analysis, summarization, and generating insights from video.Our models are utilized by the largest sports leagues worldwide, quickly and accurately selecting highlights from extensive game footage, providing a hyper-personalized viewing experience. In South Korea, integrated control centers partner with us to efficiently analyze CCTV footage for rapid crisis response. Major broadcasters and studios across the globe leverage our models to create content for billions of viewers.Headquartered in San Francisco with an office in Seoul, Twelve Labs is a Deep Tech startup recognized for four consecutive years as one of the Top 100 AI Startups by CB Insights. We have secured over $110 million in funding from leading venture capital firms and corporations, including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI models are uniquely available through Amazon Bedrock, and we thrive on innovation and collaboration with exceptional colleagues worldwide.At Twelve Labs, we operate on core values that include:Honesty and reflection about ourselves and our teamsResilience and humility, embracing failure and feedbackA commitment to continuous learning and enhancing team capabilitiesIf you enjoy tackling challenging problems and growing through the journey, the opportunity awaits you here at Twelve Labs.About the TeamOur ML Data team operates on the belief that data determines AI model performance. We build high-quality data for training and evaluating multimodal AI models end-to-end. This includes gathering, filtering, processing, and labeling various types of multimodal data such as video, images, and audio. We collaborate with diverse teams to design datasets that unlock new model capabilities and develop evaluation datasets that reflect real user experiences. We also develop and continually enhance internal tools to perform these processes efficiently.The ML Data team plays a pivotal role in the development of Twelve Labs' world-class video understanding models through a meticulously designed data pipeline.About the RoleAs a Software Engineer specializing in Data, you will design and develop pipelines for multimodal (video, image, audio) data that fundamentally enhance model performance through data quality. If you have experience designing and operating distributed systems for handling unstructured multimodal datasets, you can make a significant impact in this position. The rigorously refined and accurately labeled data forms the foundation of all model development at Twelve Labs, and you will have the opportunity to influence model quality more than any other engineering role.We are looking for someone to help us build data infrastructure that elevates our video understanding technology to the next level.In this Role, You WillBuild data engines capable of collecting, preprocessing, refining, filtering, and labeling large multimodal (video, image, audio) datasets for LLM/VLM training.Design and develop data systems that efficiently manage and visualize petabyte-scale video, image, and audio data.Create libraries and services that deliver tangible impact beyond just eye-catching features.Collaborate closely with various teams to define project priorities and goals, leading technical initiatives from planning through development and operations.

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.

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 ResponsibilitiesEstablish, strategize, and execute comprehensive verification plans at both block and system levels.Draft and assess test plans, while developing effective test harnesses and sequences.Ensure the successful completion of the design verification process by achieving predefined metrics related to the test plan, functional coverage, and code coverage.Engage closely with the Design team to troubleshoot, identify root causes, and rectify functional discrepancies within the design.Work collaboratively with cross-functional teams, including Design, Modeling, Emulation, and Silicon Validation, to uphold the highest standards of design quality.Essential QualificationsBachelor's degree in Electrical Engineering, Computer Science, or a related technical discipline.Over 5 years of hands-on experience in block and system level verification employing SystemVerilog/UVM methodologies.Demonstrated expertise with Electronic Design Automation (EDA) tools and proficiency in scripting languages such as Python, Perl, or Shell for verification tool development.Experience in architecting and implementing Design Verification infrastructure, encompassing the entire verification cycle from planning to successful closure.Desirable QualificationsMaster’s degree in Electrical Engineering, Computer Science, or a closely related technical field.Proficiency in creating UVM-based verification environments from the ground up.Expertise in developing Python-based verification environments, including tools like cocotb.Experience in IP or integration verification for high-speed interfaces such as PCIe, UCIe, UALink, and Ethernet.Familiarity with verifying ARM/RISC-V-based sub-systems or SoCs.Strong programming capabilities in Python.Exceptional written and verbal communication skills.Contact InformationFor inquiries, please reach out via email: 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.

About UsJoin us at Twelve Labs as we set the global standard for video understanding AI! We are dedicated to transforming vast amounts of video data into exceptional AI solutions that specialize in search, analysis, summarization, and insight generation.Our advanced AI models are utilized by the world’s largest sports leagues to swiftly and accurately identify highlights, offering a highly personalized viewing experience. In South Korea, integrated control centers depend on our technology to navigate CCTV footage efficiently during emergency situations. Major broadcasters and studios worldwide leverage our models to create content for billions of viewers.Based in San Francisco and Seoul, Twelve Labs is a leading Deep Tech startup that has been recognized as one of the top 100 AI startups globally by CB Insights for four consecutive years. With over $110 million in investments from renowned VCs and companies such as NVIDIA, NEA, Index Ventures, Databricks, and Snowflake, we are proud to be the only AI model developed in Korea that is serviced through Amazon Bedrock. We are committed to building exceptional products with outstanding colleagues and growing alongside our global clientele.At Twelve Labs, we thrive on core values such as:A mindset of honesty and reflection towards ourselves and our teamsPerseverance and humility in facing failures and feedbackA commitment to continuous learning to enhance team capabilitiesIf you enjoy tackling challenging problems and growing through the process, the opportunities at Twelve Labs await you.Team OverviewOur Quality Engineering team plays a pivotal role in ensuring the quality of Twelve Labs’ multimodal AI models and services through automated testing systems and sophisticated quality validation processes, contributing significantly to reliable and trustworthy product development.Role OverviewAs a Software Engineer focusing on Quality, you will be an essential engineer responsible for ensuring the reliability and quality of our AI systems. You will closely collaborate with the development team from the early stages, establishing testing strategies and building automated testing infrastructures.We utilize Python and TypeScript to develop our testing code, employing tools like Pytest, Jest, and Playwright to conduct automated tests across APIs, UIs, and SDKs. Additionally, we configure and operate the necessary infrastructure (AWS services such as EKS, Lambda, S3) for executing functional tests, as well as performance testing (using Locust) and model quality assessments.You will coordinate the testing scope in line with the development cycle, write test cases once the development scope is confirmed, perform tests, and share results, ensuring our products and models are delivered reliably to users.Key ResponsibilitiesDevelop and maintain automated testing for APIs, UIs, and SDKs using Pytest, Jest, and PlaywrightCollaborate closely with development teams to establish testing strategies, incorporating testing perspectives from the functional definition stageConfigure and manage testing infrastructure (EKS, S3, Lambda, etc.)Write and execute test cases, reporting on testing outcomesConduct load and response testing using performance testing tools (e.g., Locust)Ideal Candidate ProfileExperience in test automation using Python and TypeScriptProficiency with automated testing frameworks and tools (e.g., Pytest, Jest, Playwright)Familiarity with AWS services and infrastructure managementStrong problem-solving skills and collaboration abilities

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.

About Our TeamThe Codex Deployment Engineering team is dedicated to facilitating the integration of OpenAI's innovative coding tools into the software development lifecycle of our clients. We serve as trusted technical partners, collaborating closely with engineering teams to seamlessly incorporate Codex into their projects and workflows. Our diverse clientele ranges from digital-native startups to global enterprises, and our mission is to enhance their software development processes.About the RoleWe are looking for a technically proficient and creatively motivated AI Deployment Engineer who is not only an adept user of AI coding tools but is also eager to redefine developer productivity. In this role, you will collaborate directly with engineering leaders and practitioners to design, validate, and scale sophisticated AI workflows, often leveraging Codex to prototype and develop the demos, integrations, and automations that our clients will ultimately utilize.This position is highly cross-functional, merging technical architecture, product strategy, and customer-facing leadership. You will work closely with teams across Sales, Solutions Engineering, Product, Applied Engineering, and the wider Codex organization to advocate for customer needs, influence product development, and expedite the effective deployment of intelligent coding systems at some of the world's most prominent companies.This role is based in Seoul, South Korea.Key Responsibilities:Act as the primary technical expert on OpenAI Codex for a designated portfolio of clients, deeply embedding with their teams to empower their engineering capabilities and enhance coding workflows.Collaborate directly with clients to design and implement AI-enhanced development workflows that range from rapid prototyping to full-scale production deployment.Create high-quality demos, reference implementations, and workflow automations, utilizing Codex as part of your development process.Conduct large-format workshops, technical deep dives, and practical training sessions to effectively and safely integrate AI coding tools into engineering organizations.Contribute technical content, including examples, guides, patterns, and best practices to the OpenAI Cookbook, assisting the wider developer community in maximizing their use of Codex.Gather detailed product insights from actual customer implementations and translate these into clear product proposals and feedback for internal teams.