Validation/Emulation Engineer

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.

Join Graphcore as a Senior Post-Silicon Validation Engineer (Bringup) and be a pivotal force in the development of next-generation AI computing systems. With a competitive salary range of $156,500 - $211,700, along with Phantom Equity and comprehensive benefits, this is your opportunity to contribute to the future of AI technology.Graphcore, a leader in Artificial Intelligence computing systems, specializes in the design of advanced semiconductors and data center hardware. Our innovative solutions empower AI advancements while ensuring efficiency for widespread adoption.As we expand our presence with a new AI Engineering Campus in Austin, we invite you to become part of our dynamic team. In this role, you will collaborate with cross-functional teams to validate high-performance AI chips and platforms, ensuring successful product introductions and post-silicon validation.Your responsibilities will include bringing first silicon to life, functionally validating it, and closely collaborating with various teams to create fully characterized and operational products. Regular project status reporting to program management will be part of your duties. You will also have the chance to lead, mentor, and provide technical guidance to fellow engineers, leveraging your industry experience to enhance test infrastructure and processes continuously.

Role Overview Graphcore is hiring a Staff Engineer focused on Platform Bring-up and Validation in Austin, Texas. This position centers on launching new hardware platforms and making sure they perform reliably. The work involves close collaboration with teams across disciplines to validate hardware, build automated testing systems, and resolve technical issues during development. What You Will Do Lead the bring-up process for new hardware platforms Validate hardware designs to meet performance and reliability standards Work with cross-functional teams throughout development Create and maintain automated testing frameworks Troubleshoot and resolve hardware issues as they arise

About UsGraphcore is a pioneering leader in Artificial Intelligence compute technology. We are dedicated to developing cutting-edge hardware, software, and systems infrastructure that will facilitate the next wave of AI innovations and promote the widespread integration of AI solutions across various sectors.As a proud member of the SoftBank Group, Graphcore is part of an exclusive network of companies that are at the forefront of transformative technologies. Our shared mission is to enable Artificial Super Intelligence and ensure its benefits are accessible to all.Our teams consist of professionals from diverse backgrounds, including AI research experts, silicon designers, software engineers, and systems architects. At Graphcore, we foster a culture of continuous learning and relentless innovation.Job SummaryWe are on the lookout for a skilled Hardware Validation Manager to spearhead the validation of Graphcore hardware platforms from prototype through to production release. The successful candidate will be responsible for defining validation strategies, building and leading a high-performance validation engineering team, and ensuring our hardware products meet electrical, functional, and reliability objectives throughout all development stages.The ideal candidate will possess profound technical knowledge in hardware validation combined with robust leadership skills, effective cross-functional collaboration, and the ability to execute programs to deliver high-quality products at scale.

Join our dynamic team at dstaff as a Validation and Emulation Engineer. In this pivotal role, you will leverage your expertise to ensure the utmost quality and performance of our cutting-edge technology solutions. You will be responsible for developing, executing, and maintaining validation and emulation strategies to enhance product reliability and efficiency.

Join Apptronik as a Senior Staff Electrical Engineer in our Compute division, where you will play a pivotal role in designing and developing advanced electrical systems for robotic applications. Your expertise will contribute to innovative solutions aimed at enhancing our product offerings and pushing the boundaries of technology.

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.

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.

As a Lead Principal Post-Silicon Validation Engineer (Bringup) at Graphcore, you will be at the forefront of validating cutting-edge AI chips and platforms. Your expertise will contribute significantly to new product introductions and post-silicon validation processes.In this role, you will work within a dynamic Post-Silicon Validation team, bringing first silicon to life and functionally validating it. This involves close collaboration with various teams to ensure the product is fully characterized and operational. Regular reporting on project status and progress to program management will be a key responsibility. You will also have the opportunity to lead, mentor, and provide technical guidance to fellow engineers, leveraging your experience to drive continuous improvements in testing infrastructure and processes.

Join Graphcore as a Principal Embedded Software/Firmware Engineer (Bringup) at our new AI Engineering Campus in Austin, Texas. We are seeking a skilled engineer to lead the post-silicon validation of our cutting-edge AI chips and platforms, ensuring they meet the highest functionality and performance standards. As a key member of our collaborative, cross-functional team, you will be instrumental in bringing first silicon to life. Your role will involve validating the functionality of our new silicon and working closely with various teams to transition it into a fully characterized and operational product. You will also regularly report project status and progress to program management. In this position, you will have the opportunity to lead and mentor fellow engineers, providing technical guidance and fostering continuous improvement in our test infrastructure and processes.

Join Apptronik as a Senior Engineer specializing in Product Validation, where you will play a critical role in ensuring the quality and performance of our innovative robotic products. Your expertise will be vital in conducting thorough validation tests, analyzing data, and collaborating with cross-functional teams to enhance our product offerings. If you are passionate about robotics and eager to contribute to groundbreaking technology in a dynamic environment, we want to hear from you!

About UsGraphcore is at the forefront of innovation in Artificial Intelligence compute, creating pioneering hardware, software, and systems infrastructure designed to unleash the next wave of AI advancements. Our mission is to facilitate the broad adoption of AI solutions across various industries.As a proud member of the SoftBank Group, Graphcore is part of a distinguished family of companies that are driving transformative technologies. Together, we share a visionary goal: to enable Artificial Super Intelligence and ensure that its advantages are available to all.Our teams are composed of talented individuals from diverse backgrounds, bringing a wealth of skills and perspectives. We are a melting pot of AI researchers, silicon designers, software engineers, and systems architects, all thriving in a culture that fosters continuous learning and relentless innovation.Job SummaryWe are looking for a highly skilled Staff UEFI Engineer to design, develop, and implement UEFI-based firmware for Graphcore’s hyperscale AI server platforms. This role will concentrate on crafting system firmware that oversees platform initialization, hardware configuration, and reliability features essential for large-scale data center deployments.

About Us Graphcore stands at the forefront of innovation in Artificial Intelligence computing, dedicated to developing advanced hardware, software, and systems infrastructure. Our mission is to facilitate the next wave of AI breakthroughs, propelling the widespread implementation of AI solutions across diverse industries. As a proud member of the SoftBank Group, Graphcore joins an elite consortium of companies that are shaping transformative technologies. Together, we envision a future where Artificial Super Intelligence is accessible and beneficial for all. Our teams are composed of talented individuals from various backgrounds, fostering a rich blend of skills and viewpoints. With a culture that thrives on continuous learning and innovation, we are home to AI research experts, silicon designers, software engineers, and systems architects. Position Overview We are on the lookout for a Staff Systems Engineer to provide expert operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms in both lab and data center settings. This role emphasizes the support of hardware bring-up, validation, and troubleshooting of intricate AI compute platforms, such as server blades, racks, and rack-scale infrastructure. The ideal candidate will work in close collaboration with engineering, platform, and data center teams to guarantee the reliability and performance of our next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams play a pivotal role in enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. This collaborative environment promotes rapid problem-solving and continuous enhancement of Graphcore’s hardware platforms from early development stages to production deployment. Key Responsibilities Lead advanced troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure. Assist in engineering bring-up activities, including component validation and firmware interaction testing. Diagnose system-level failures related to thermal performance, power irregularities, network configurations, and BIOS/BMC issues. Collaborate with server engineering teams to conduct root cause analyses and recommend corrective actions or design improvements. Facilitate the deployment and rollout of next-generation hardware platforms through structured processes.

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.

Join Our Team as a Staff Engineer in Computer Vision & Machine Learning for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is an innovative defense startup founded by two former Navy electrical engineers renowned for their expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret that utilizes state-of-the-art computer vision and control technologies to accurately target and neutralize small drones and loitering munitions. Our ambitious mission presents numerous technical challenges, providing a thrilling and fast-paced environment for seasoned engineers. ACS fosters an engineering-driven culture that prioritizes technical excellence and innovation. Supported by our founders' successful exits from two previous ventures totaling $180M in 2022, we are dedicated to ensuring that our pioneering technologies will make a significant impact in the real world.

About Base-PowerBase-Power is revolutionizing the energy sector as America’s next-generation power company. Our mission is to reconstruct the fundamental structure of modern society—electricity—by implementing a comprehensive network of distributed batteries. This innovation is transforming our current fragile, centralized grid into a robust and abundant energy system. Our diverse team consists of engineers, operators, and creative minds who are tackling some of the most intricate challenges of our era.About the RoleAs a Validation Engineer, you will be a pivotal part of the Base-Power Validation team, responsible for confirming the reliability of our power systems, inverters, and batteries in real-world applications. This role involves spearheading the validation function, developing tools and processes, and building a skilled team to ensure the delivery of high-quality, trustworthy products at scale. You will collaborate closely with Research & Development, Supply Chain, and Quality Engineering teams to define reliability criteria and substantiate it through thorough testing.This opportunity allows you to influence validation practices at Base-Power from foundational principles to practical execution.What You'll Do:Establish and oversee Base-Power's validation strategy, creating a robust framework that adapts to product complexities and fleet expansion.Lead the formulation of validation protocols for inverters, batteries, and power systems utilizing thermal chambers, high-power supplies, and advanced testing equipment.Design and manage the development of validation automation software and infrastructure.Maintain version control and consistency across requirements and test management systems within teams.Work collaboratively across departments to address validation findings, influence design choices, and enhance product reliability.Produce and present comprehensive validation reports to support compliance, certification, and executive decision-making.Required Skills / Qualifications:Possess a systems-level mindset with a passion for creating reliable, resilient products.5+ years of experience in software or electromechanical validation, particularly with power systems, hardware, or embedded products.Familiarity with validation tools (thermal chambers, high-power supplies, DAQ systems) and test automation frameworks.Proficient in leading validation initiatives and fostering a culture of quality assurance.

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.

LocationOn-site — Austin, TXEmployment TypeFull-TimeJob TitleComputer Vision Engineer (Junior, Senior, Lead/Principal)Company OverviewJoin 9-mothers, a dynamic and well-funded startup pioneering the development of autonomous machines for defense applications. Our flagship product is engineered to counteract small, agile FPV suicide drones—often seen in contemporary conflicts like the Russia-Ukraine situation. We pride ourselves on creating systems that demand unparalleled perception and decision-making capabilities. If you are passionate about transforming innovative machine learning technologies into operational solutions, this is the ideal environment for you.Though we currently concentrate on defensive systems, there is exciting potential for future expansions into advanced capabilities.Position SummaryWe are on the lookout for a skilled Computer Vision Engineer to become the “vision” of our autonomous c-sUAS platforms. In this role, you will be responsible for architecting, deploying, and refining the perception pipeline, with a focus on achieving low-latency and high-frame-rate processing to accurately track fast-moving targets.Your expertise should encompass building models and systems from the ground up, transcending the use of existing frameworks. This entails developing bespoke models rather than merely implementing tools like YOLO, showcasing a deep understanding of the complexities within the problem space.Essential DutiesDesign and implement a comprehensive embedded computer vision pipeline using high-performance programming languages such as Python and C++.Employ real-time object detection models (e.g., YOLO) and optimized CNNs to deliver top-tier object detection and tracking performance.Enhance code for low-latency, high-frame-rate efficiency on constrained embedded systems, demonstrating practical experience with NVIDIA Jetson platforms and camera pipelines.Utilize geometric vision principles (calibration, rectification, and 3D geometry) to convert 2D camera images into precise 3D coordinates for fire control and guidance systems.Collaborate closely with robotics and AI teams to ensure that perception data is reliable for autonomous decision-making and effective countermeasure guidance.