Staff Software Engineer - AI Platform

Join CaptivateIQ as a Staff Software Engineer specializing in AI Platform development. In this pivotal role, you will design, implement, and maintain scalable AI solutions that empower businesses to optimize their compensation processes. Collaborate with cross-functional teams to drive innovation and enhance our platform capabilities.

Role Overview Graphcore is hiring a Staff Engineer to lead validation of AI Compute Blades and Racks in Austin, Texas. This position centers on testing and validation to confirm that hardware performs to specification and meets reliability targets. What You Will Do Oversee and execute validation processes for AI Compute Blades and Rack systems Guide testing to ensure hardware delivers consistent, reliable performance Work closely with teams across engineering, product, and operations to address issues and drive improvements Support projects that advance AI hardware technology Collaboration This role works with cross-functional groups to identify problems, share insights, and help deliver robust AI compute solutions.

Location: Hybrid. Staff may need to attend quarterly meetings at the nearest office, typically 1-4 times per year. Main office: Austin, Texas, United States. About Aravo Solutions Aravo Solutions, Inc. provides third-party risk management (TPRM), ESG, and vendor lifecycle management software to Global 2000 enterprises. The platform uses intelligent automation to help organizations manage risk across complex, global networks. With millions of users in over 195 countries, Aravo integrates AI directly into workflows to help companies understand and respond to risk, supporting business resilience and reputation. Role Overview The Staff Software Engineer - API and AI Integrations will serve as a technical anchor for the Integration & Platform team. This role focuses on backend architecture and development, setting and upholding engineering standards, and leading modernization efforts for the Java/Spring Boot ecosystem. The goal: move toward cloud-native, AI-enabled workflows that support Aravo’s Intelligence-First™ approach to risk management. What You Will Do Architect and advance core backend services for the Integration & Platform group. Establish and maintain engineering standards across the team. Drive modernization of Java/Spring Boot systems, with a focus on cloud-native and AI-integrated solutions. Collaborate with industry experts and cross-functional teams to shape technical direction. What We’re Looking For Deep experience with Java and Spring Boot in distributed systems. Strong background in cloud infrastructure and API/integration design. Demonstrated leadership in technical teams; able to influence engineering direction. Clear, effective communication and strong problem-solving skills. Comfort working in a collaborative, evolving environment. Why Join Aravo? Work on AI-driven solutions in the TPRM space. Collaborate with a team that treats AI as a partner, not a replacement. Contribute to technology that directly impacts global risk management and business resilience.

AI/ML Engineer – NODA AILocation: Austin, TX (Hybrid work model, with up to 20% travel required)Clearance Requirement: U.S. Citizenship with eligibility to obtain a security clearanceAbout NODANODA is a veteran-owned, venture-backed technology firm dedicated to revolutionizing the collaboration of unmanned systems in intricate, mission-critical settings. We are at the forefront of developing cutting-edge solutions that facilitate the autonomous management of diverse unmanned systems across air, sea, land, and space, with essential applications in defense, intelligence, and commercial industries.As an AI/ML Engineer, you will be engaged in pioneering work in autonomous intelligence, crafting and deploying AI agents that effectively align mission intent with real-world execution through sophisticated reasoning frameworks and multi-domain orchestration capabilities.Joining NODA means becoming part of a team that values innovation, rapid iteration, and collaboration, working on impactful technology that advances the field of autonomy.The RoleWe are looking for a talented AI/ML Engineer to design and implement intelligent agents that facilitate adaptive mission planning and orchestration across multi-domain unmanned systems. This position will center on LLM orchestration frameworks, agent reasoning systems, and deploying AI models in edge computing environments on autonomous vehicles.You will develop systems that convert high-level mission objectives into actionable autonomous behaviors, adapt plans dynamically as situations evolve, and provide clear reasoning to human operators. Your contributions will integrate seamlessly with our ROS autonomy stack while ensuring dependable AI performance on resource-limited edge hardware.Key ResponsibilitiesDesign and implement LLM orchestration frameworks for mission planning and task decomposition across varied vehicle fleets.Create agent reasoning systems that connect high-level mission goals with executable autonomy commands.Optimize and quantize large language models and agent frameworks for deployment on edge computing hardware (e.g., Jetson, companion computers).Oversee the entire lifecycle of AI agents, including model versioning, prompt engineering, tool integration, and memory management.Develop human-in-the-loop workflows that ensure transparent and explainable AI reasoning for operators.

Role Overview SecurityScorecard is hiring a Staff AI Engineer to help advance its security products. This role combines remote flexibility with in-person collaboration at the Austin, TX office. What You Will Do Work with a skilled team to design and build AI-driven security solutions Contribute technical expertise to projects that protect organizations' digital assets Balance independent work with group sessions in a hybrid setting Location This position is based in Austin, TX, with a hybrid work arrangement.

Join NODA AI as an Autonomy Engineer (AI)Location: Austin, TX (Hybrid with up to 20% travel)Clearance Requirement: U.S. Citizen with the ability to obtain a security clearance.About NODA AINODA AI is a pioneering, veteran-owned technology firm dedicated to revolutionizing the collaboration of unmanned systems in complex, mission-critical scenarios. Our innovative solutions are at the forefront of autonomous orchestration across diverse domains, including air, sea, land, and space, serving essential functions in the defense, intelligence, and commercial sectors.Our autonomy engineers are vital in bridging the gap between high-level AI-driven mission objectives and effective real-world execution, enabling UAVs, USVs, and UUVs to operate seamlessly in challenging environments. By joining our team, you will contribute to transformative technology that redefines the limits of autonomy in a collaborative, fast-paced atmosphere.The RoleAs an Autonomy Engineer, you will be instrumental in designing and implementing the autonomy stack that drives adaptive multi-vehicle orchestration. Your expertise will focus on mission planning, path generation, behavior execution, and task allocation within diverse fleets.You will work at the convergence of AI reasoning frameworks, ROS2-based autonomy stacks, and distributed multi-agent systems to ensure mission intent is executed reliably and adapted to real-world conditions. Success in this role demands a robust technical foundation in robotics, practical systems thinking, and a fervor for delivering dependable autonomy solutions.Key ResponsibilitiesDesign and implement autonomy modules, including path planning, task allocation, behavior trees, and reactive execution models.Develop and maintain the autonomy framework that interconnects with orchestration (AI-driven mission planning) and world modeling.Ensure AI-generated plans are executable, explainable, and safe across multi-domain robotic platforms.Implement and validate navigation, control, and autonomy behaviors for UAVs, USVs, and UUVs using ROS2 and simulation environments.Profile and optimize autonomy performance for edge compute hardware (e.g., Jetson, Raspberry Pi-class devices).

Join spoton as a Staff AI Engineer and play a pivotal role in transforming innovative ideas into cutting-edge AI solutions. You will work alongside a talented team of engineers and data scientists to develop algorithms that enhance our products and services. Your expertise will guide the implementation of machine learning models and contribute to strategic decision-making processes.

About Us:At webAI, we are at the forefront of revolutionizing artificial intelligence through the creation of the first distributed AI infrastructure designed specifically for personalized AI solutions. As data-driven needs evolve, we are committed to innovating scalable and flexible architectures, believing that the future of AI is rooted in distributed processing at the edge, which brings computation closer to the data source.Our mission focuses on safeguarding valuable data and intellectual property, facilitating the deployment of large-scale AI models on standard consumer hardware without compromising the integrity of the information within these models. We are constructing a comprehensive platform that is secure, scalable, and fully controllable by our users, empowering businesses with AI that comprehends their unique requirements.Our team is driven by core values of truth, ownership, tenacity, and humility, and we are looking for passionate individuals who align with these principles and are eager to contribute to the next generation of AI.About the Role:We are on the hunt for a Staff DevOps Engineer to design, build, and scale secure infrastructure for deploying AI workloads across both cloud and edge environments. This high-impact role will see you as a pivotal individual contributor, shaping infrastructure strategy, leading technical initiatives, and serving as a subject matter expert in cloud architecture, security best practices, and platform reliability.In this role, you will craft scalable, automated infrastructure solutions that ensure our AI platform operates seamlessly across a variety of deployment scenarios, from public cloud to on-premises and edge computing setups. Your deep technical expertise and architectural mindset will be crucial as you translate complex requirements into production-ready infrastructure automation.

Join Tenstorrent, a pioneer in advanced AI technology, where we are reshaping performance standards, user experience, and cost effectiveness in computing. As AI transforms the technological landscape, we are committed to integrating innovations across software models, compilers, platforms, networking, and semiconductors. Our talented team has built a high-performance RISC-V CPU from the ground up, driven by a collective enthusiasm for AI and an unwavering commitment to create the premier AI platform. We cherish collaboration, curiosity, and a shared mission to tackle challenging problems. We are expanding our team and invite applicants of all experience levels.The Staff Design for Test (DFT) Engineer will play a crucial role in developing high-performance designs for leading AI/ML architectures. This position involves comprehensive engagement in all aspects of implementation, from RTL to tapeout for various IP components on the chip. Key challenges include minimizing testing costs while achieving high coverage and facilitating debug and yield learning with minimal design interference. You will collaborate with a team of seasoned engineers across multiple ASIC domains.This position is hybrid, based in either Santa Clara, CA or Austin, TX.We encourage candidates with diverse experience levels to apply. During the interview process, candidates will be evaluated for the appropriate level, and compensation offers will be aligned accordingly.

About Us Graphcore is a globally recognized pioneer in Artificial Intelligence computing systems. We specialize in designing cutting-edge semiconductors and data center hardware that deliver the specialized processing power essential for advancing AI innovation, while ensuring the efficiency necessary for its widespread adoption. As a proud member of the SoftBank Group, Graphcore is part of an elite network of companies at the forefront of transformative technologies. Our new AI Engineering Campus in Austin will be pivotal in our mission to shape the future of AI computing. Key Responsibilities: Oversee procurement and ensure material readiness for seamless execution with suppliers, contract manufacturers, and joint development manufacturers. Collaborate closely with cross-functional teams to ensure alignment and timely project delivery. Develop and maintain project schedules, ensuring on-time completion of deliverables. Support the engineering team in streamlining processes and enhancing operational efficiency. Assist in maintaining documentation for all engineering projects and procurement processes. Engage in continuous improvement initiatives to enhance workflow and productivity.

At Tenstorrent, we are pioneering advancements in AI technology, setting new benchmarks for performance, usability, and cost-effectiveness. As AI transforms the computing landscape, our solutions are designed to integrate innovations across software models, compilers, platforms, networking, and semiconductors. Our talented team of technologists has built a high-performance RISC-V CPU from the ground up, driven by a shared enthusiasm for AI and a commitment to developing an exceptional AI platform. We prioritize collaboration, curiosity, and a dedication to tackling challenging problems. As we expand our team, we invite contributors of all experience levels to join us.We are looking for skilled Physical Design Engineers to develop high-performance blocks for our state-of-the-art CPU and AI/ML architectures. In this role, you'll manage the entire implementation process from synthesis to tapeout, collaborating with leading engineers to push the limits of performance, power, and area. If you are passionate about designing silicon that drives the future of AI computing and enjoy solving intricate design challenges, we would love to have you as part of our team.This position is hybrid, based in Austin, TX, Santa Clara, CA, or Fort Collins, CO.We welcome applicants with diverse experience levels. During the interview process, we will evaluate candidates to align offers with their respective skill levels, which may differ from the one stated in this posting.

Join humanagency as the Chief of Staff to the Managing Director of AI, a pivotal role that combines strategic leadership with operational excellence. In this position, you will work closely with the Managing Director, providing insights and support to drive our AI initiatives forward. This is an exceptional opportunity for a dynamic leader who thrives in a fast-paced environment and is passionate about the intersection of technology and business.

Join Graphcore as a Staff Bring-Up and Characterization Engineer where you will play a pivotal role in the development and optimization of our cutting-edge technology. You will be responsible for bringing up and characterizing new silicon, ensuring our products meet the highest performance standards.This role presents an exciting opportunity to work at the forefront of AI technology, contributing to the design and validation of our novel hardware solutions.

About Us:At WebAI, we are pioneering the first distributed AI infrastructure focused on personalized artificial intelligence. In a world increasingly driven by data, we recognize the need for scalable and flexible solutions. Our vision is to create a future where AI is decentralized, enabling real-time data processing at the edge, right where data is generated. We aim to ensure that a company's data and intellectual property remain private while facilitating the deployment of large models directly to consumer hardware without compromising data security.Role Overview:As a Lead Staff R&D AI Engineer, you will spearhead the development of innovative AI systems that merge computer vision, natural language processing, and action learning. Your expertise will be instrumental in designing and implementing Vision-Language-Action (VLA) models, enhancing reinforcement learning applications, and advancing the integration of multimodal AI technologies. This position requires a robust background in both computer vision and large language models, coupled with practical experience in reinforcement learning, to develop intelligent systems capable of understanding, reasoning, and interacting with complex environments. You will lead research projects, mentor technical teams, and transform groundbreaking AI research into real-world applications across varied sectors.

Self Financial is a dynamic and rapidly growing FinTech company dedicated to enhancing economic inclusion and financial resilience. Our mission is to empower individuals in building credit and savings effectively.We seek passionate individuals who are eager to confront challenges, devise innovative solutions, and improve the financial landscape for the communities we serve.Our team is committed to reshaping the credit industry by providing accessible tools for individuals to take charge of their credit scores. Achieving our mission necessitates collaborative efforts across teams to ensure our products reach the over 100 million Americans struggling with no or low credit.We celebrate diversity and strive to cultivate an inclusive environment for all employees. We are dedicated to recruiting, developing, and retaining talented individuals from a diverse pool of candidates.About the RoleWe are expanding our Frontend Engineering team at Self. You will join a high-performing group focused on developing Self Financial’s mobile app and web interfaces. We place great importance on creativity, quality, and delivering an innovative user experience to a wide customer base in a fast-paced, collaborative environment with frequent releases.We are hiring for multiple Frontend Engineering positions across various experience levels. While this posting outlines the core expectations of the role, the final title and ranking will be based on demonstrated experience, impact scope, and competencies evaluated during the interview process. We are committed to open communication and will discuss level and compensation expectations at every stage.Staff Software Engineers are expected to take on a crucial leadership role in defining technical direction, spearheading high-impact projects, and mentoring engineering teams. In this capacity, you will leverage your deep technical expertise, domain knowledge, and strategic mindset to improve our software platforms and drive business success.As a Staff Engineer, you will lead cross-team initiatives, identify and resolve systemic challenges, and uphold high standards of engineering excellence. You will influence project trajectories, ensure alignment with business objectives, and contribute to organizational governance, leaving a lasting impact on our engineering culture and technical frameworks.

Join Visa Inc. as a Staff Software Engineer, where you will play a pivotal role in designing and implementing innovative software solutions. Collaborate with cross-functional teams to deliver high-quality products that enhance our services and drive operational efficiency. Your expertise will contribute to the development of cutting-edge technologies that support Visa's mission of connecting the world through the most innovative, reliable, and secure payment network.

Join Visa Inc., a global leader in digital payments, as a Staff Software Engineer. In this pivotal role, you will design, develop, and implement innovative software solutions that enhance our payment systems and services. You will collaborate with cross-functional teams to deliver high-quality products that meet the needs of our clients and stakeholders.

Join our innovative team at Visa Inc., where we are on a mission to empower everyone to pay securely and conveniently. As a Staff Software Engineer, you will play a critical role in developing high-quality software solutions that drive our business forward. You will work collaboratively with cross-functional teams to design, implement, and maintain scalable applications, ensuring they meet our users' needs and deliver exceptional performance.

At Tenstorrent, we are at the forefront of AI technology, transforming performance benchmarks, usability, and cost efficiency. As AI reshapes the computing landscape, our solutions are evolving to integrate advancements across software models, compilers, platforms, networking, and semiconductor technologies. Our innovative team has crafted a high-performance RISC-V CPU from the ground up, driven by a passion for AI and a commitment to building an exceptional AI platform. We encourage collaboration, curiosity, and a proactive approach to solving complex challenges. We are expanding our team and invite professionals of all experience levels to contribute.We seek a skilled engineer to join our CPU design team, focusing on defining and implementing CPU system RTL. You will integrate multiple cores, clusters of cores, fabrics, and subsystem components, working closely with design verification (DV), physical design (PD), architecture, and performance teams to produce a design that meets functional, timing, and power requirements.This position is hybrid, with options based in Austin, TX, Fort Collins, CO, or Santa Clara, CA.We welcome candidates of varying experience levels for this role. During the interview process, we will evaluate candidates to determine the appropriate level, and offers will align accordingly, which may differ from this posting.

Apptronik is hiring a Staff Systems Engineer - Software to drive the development of advanced robotics and automation solutions. This role is based in Austin, TX and centers on building and refining the software systems that power Apptronik's products. Responsibilities Design, implement, and maintain complex software systems for robotics and automation. Develop new features and enhance existing systems alongside a skilled engineering team. Apply strong engineering practices to boost product reliability and performance. Collaboration This position requires working closely with colleagues from multiple disciplines. Staff Systems Engineers contribute to solutions that meet demanding standards for both performance and reliability, directly influencing product capabilities and outcomes.