Computer Systems Validation Analyst Jobs

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. Research Engineer, Synthetic Data About the Role As a Research Engineer on the Synth Data team at SpaceXAI, you’ll invent and scale the synthetic data that teaches our models new capabilities. You own the full loop: spotting a capability the model is missing, designing a data generation strategy, building reliable pipelines and verifiers, and validating that the resulting data actually moves the model. You form hypotheses about what data will help, build the systems to produce it at scale, run ablations, and read the resulting traces and training signals to understand why it worked (or didn’t). Your datasets go directly into frontier training runs, and shape the development of Grok models. What you’ll work on Designing end-to-end synthetic data recipes that turn raw sources (traces, documents, codebases, workflows) into large, diverse, verifiable task sets. Building strong verification and anti-hacking mechanisms so rewards are simple to compute and hard to game. Controlling difficulty and diversity so data stays learnable and reflects real usage instead of collapsing into templates. Running targeted ablations and analyses that demonstrate a dataset caused a capability improveme

Job Details: Job Description: Are you passionate about computer graphics? Working with leading engineers on Intel's latest GPU architecture? Now is the time to make your education count and work at Intel. As a PEY student, you can contribute to Intel's technology innovation. At Intel, we have a dynamic work environment with a team of experts and unique opportunities for your career development. You can enjoy your work at Intel with managers and colleagues who are eager to mentor you and help you to grow. The Thermal Mechanical group is part of the Platform Design Engineering team and is responsible for thermal, mechanical, and acoustic design & validation of Intel's AI & discrete graphics cards. The team is an essential part of delivering Intel's 3D graphics, media, display GPU, and AI inference technology. We are looking for a highly motivated, passionate individual who would contribute to the design and validation of our next generation of discrete graphics hardware and work with cutting edge design technologies. What You’ll Do Depending on project and team needs, you may have the key responsibilities will include but not limited to: Mechanical, thermal, and acoustic testing of graphics cards. Thermal management firmware validation using Python. Building computer systems and server-grade test setups. Developing scripts to automate test procedures and test reports. Preparing test reports. Mid to high volume dat

Zoox is on an ambitious journey to develop and safely deploy a full-stack autonomous mobility solution for cities. We are seeking a Senior / Staff Systems V&V Engineer to join the Platform Safety Assurance team within the System Design and Mission Assurance (SDMA) team, applying sound systems and verification engineering to fail-safe and fail-operational behaviors to realize this mission. At Zoox, we take systems engineering seriously and know that your efforts will be critical for delivering a driverless robotaxi service at scale. In this role, your work will directly impact our fleet’s reliability and fail-operational capabilities through your efforts on the compute-platform safety case. In this role, you will: Understand and review vehicle response strategies for fault conditions from all potential sources Develop and manage test planning and execution for safety and fail-operational responses Design and direct system-level V&V campaigns, establish novel testing methodologies, establish robust testing metrics, and ensure the robotaxi meets end-to-end safety and fail-operational requirements for Zoox milestones including for highway driving Work and collaborate closely with system safety, perception, firmware, vehicle controls, and planning engineering teams to understand and review requirements, vehicle response strategies, and secure buy-in for new processes for fault conditions Analyze, track, and report complex test results to drive platform improvements, documenting new methodologies and V&V reports Apply expertise in verification and validation to the compute-platform safety case, accelerating new platform development, and establishing robust fail-safe and fail-operational behaviors. Qualifications BS or higher degree in a technical field, such as Electrical, Computer or Systems Engineering. 5+ years of specialized experience, including demonstrable experience in one or all o

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsible for designing and analyzing digital and analog circuits used in the development of memory products. Engage in developing groundbreaking silicon-to-systems solutions – right from technology development and advanced memory designs to product development, systems design and validation resulting in world class memory solutions. Collaborate with various internal design and verification teams all over the world and support the efforts of groups, including Product Engineering, Test, Probe, Process Integration, Assembly and Marketing to proactively design products that optimize all manufacturing functions and assure the best cost, quality, reliability, time-to-market, and customer satisfaction. Responsible for power delivery network evaluation and optimization of DRAM designs, as well as design and optimization block level power generators. Utilize both analog and digital CMOS design skills to work on the analog circuits. Responsible for working with Product Engineering to verify silicon performance vs simulation performance of circuits you design. Work with Process integration and transistor modeling personnel in designing the circuits to be used on Micron's next groundbreaking process node. Review product requirements and logic diagrams for device definition. Responsible for projects, or portions of projects, to design, fabricate, modify, and evaluate semiconductor devices and components. Employer will accept a Bachelor's degree in Computer Engineering, Electrical Engineering, Electronics Engineering, or related field, followed by fi

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are seeking a highly motivated software development engineer in test (SDET). This role is central to leading the creation of automation frameworks, tools, and processes for platform safety clearance and system testing. The ideal candidate is passionate about developing high-quality, robust, optimized, and reusable software infrastructure, and is eager to advance their skills in complex systems thinking and validation problem-solving. Some examples of tools this role has supported in the past: * Front and back end of Streamlit web-app to automate tracking requirements to test case traceability. * Automation framework for execution of safety critical tests. * CI/CD job to identify affected requirements and HIL tests from code changes and automate the execution of all linked tests. In this role, you will: Create tools and web-apps to help us automate and streamline manual clearance processes. Propose tools and/or feature ideas to the team to improve processes. Develop software for automated validation frameworks for system level testing in Hardware In the Loop (HIL), simulation environments, and post-processing of test data. Develop and maintain dashboards to illustrate progress against targets and highlight focus areas. Execute, triage, and debug automated verification and validation system tests. Qualifications B.S. or higher in Mechanical Engineering, Electrical Engineering, Systems Engineering, Computer Engineering, Computer Science or a related technical degree. Experience developing automated test frameworks and tools for

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA Networking, NVIDIA Data Center CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are seeking an excellent Senior System Engineer to work on bring up, integration, validation and troubleshooting for compute tray platforms of GPU Racks — ensuring servers are fully functional and validated as per requirement before mass deployment in data centers. What you’ll be doing: Working with a global team of architects and developers on NVIDIA AI server system (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.) designs. Working closely with hardware teams to influence hardware system design, reviewing schematics and board design to ensure speed of light execution. Using simulation and emulation to left-shift early design and initiate new concepts and innovations. Hands on debug and support of early server prototypes bring-up and power on test debug in datacenter system labs. Factory and Manufacturing support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and proc

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. As a technical program manager, you will work cross-functionally with engineering leaders across software, hardware, vehicle engineering, and product to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve. You will work with each engineering team to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress. In this role, you will: Partner with Autonomy V&V engineering managers to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables You'll drive and support teams of software engineers and data engineers/scientists to stand up cutting-edge evaluation pipelines leveraging statistics, simulation, and other methods You'll play a defining role in building scalable systems that improve how we evaluate autonomy behavior at Zoox You'll work with cross-functional stakeholders to proactively identify gaps, escalate risks, drive bug closure, and contribute to test coverage tracking You'll be a trusted partner to engineering leadership and the go-to person for unblocking teams and driving solutions Qualifications BS/MS degree in computer science, engineering or equivalent job experience At least 6 years of experience in engineering program management Strong track record of managing complex cross-functional projects and problem-solving An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience Deep familiarity with software development processes & proficiency in tools or processes required to manage complex projects (i.e. Gantt

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We are hiring a Firmware Validation & Integration Engineer for our autonomy software team. This is a critical role to build robust and scalable validation for our firmware and systems to ensure reliability at every level. In this role, you will work with our electrical, firmware, and autonomy engineers to build the infrastructure and test suites required to validate the system. This includes designing and implementing our Hardware-in-the-Loop (HIL) simulation environments and automation frameworks from the ground up. You will report to the Autonomy Platform Lead on our Autonomy Platform Team at DoorDash Labs. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Play an integral role on a small and focused team. Design and build Hardware-in-the-Loop (HIL) systems to simulate vehicle dynamics and sensor data for comprehensive firmware and system-level validation. Develop automated test infrastructure and software tools to exercise multiple embedded platforms throughout our robot system. Interface many layers of our control system including vehicle controls, power management, and motion control to ensure seamless system integration. Implement low-level test sequences and validation algorithms to safely stress-test vehicle components such as batteries, drive-train, and thermal management devices. Collaborate with cross-functional teams to identify edge cases and hardware-software corner cases that impact vehicle safety and performance. We’re excited about you because… BS/MS degree in Computer Science, Robotics, Electrical Engineering, or related technical field. 5+ years of experience in validati

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for an outstanding Compiler Engineer to help build the next generation of intelligent compiler technologies for NVIDIA's accelerated computing stack. Our team works at the intersection of compilers, agentic systems, numerical correctness, and verification to create systems that can reason about, generate, optimize, and validate code transformations across software and hardware boundaries. This is an excellent opportunity for new graduates who are excited about coding agents, AI-assisted software engineering, developer tools, and GPU computing. In this role, you will work with experienced engineers and researchers to build agentic systems and compiler-aware tooling that improve developer productivity, code quality, and system performance across NVIDIA's software and hardware stack. What you'll be doing: Build and improve coding-agent systems for tasks such as code generation, transformation, debugging, optimization, validation, and developer assistance. Develop agent workflows involving tool use, planning, memory, execution, and feedback loops for software engineering and compiler-related tasks. Help create training, evaluation, and verification environments to improve agent quality, correctness, r

About the Role We're looking for a Hardware Systems Engineer to own system-level architecture across electrical, mechanical, firmware, sensor, and compute subsystems – decomposing platform requirements into verifiable specs for power distribution, motion control, embedded compute, sensor suites and communication buses (CAN, Ethernet, etc.). You'll drive requirements traceability, interface control documents (ICDs), trade studies, and verification and validation (V&V) plans that ensure subsystems built by separate EE, ME, firmware, and perception teams function as one safe, reliable delivery robot. You’re excited about this opportunity because you will… Own system-level architecture across electrical, mechanical, firmware, sensor, and compute subsystems for autonomous delivery platforms. Decompose platform requirements into verifiable specs for power distribution, motion control, embedded compute, and sensor suites. Drive requirements traceability, ICDs, trade studies, and V&V plans across EE, ME, firmware, and perception workstreams. Define fault-tolerant architectures (FMEA, fault trees, redundancy) governing system behavior during component failures. Lead cross-functional root-cause debugging across hardware, firmware, and software boundaries, conducting design and safety reviews. Translate business and regulatory requirements into engineering specs in collaboration with Product, Safety, Legal, and Operations. We’re excited about you because… B.S., M.S., or Ph.D. in EE, ME, Computer Science, Systems Engineering, Robotics, or a related field 8+ years of experience building, testing, and validating mechatronics or sensor-equipped hardware in robotics, automotive, or aerospace. Strong expertise in embedded systems architecture, vehicle mechanicals, electronics, and autonomous perception systems. Demonstrated ability to perform cross-boundary debugging across hardware, firmware, and software layers. Ability to evaluate complex trade-offs, identify failure mode

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. What You’ll Do: Architect the Future of AI Infrastructure: You will design, build, and own the end-to-end platform that supports the entire lifecycle of our ML models—from massive-scale distributed training to ultra-low-latency, highly-available inference. Optimize and Serve Cutting-Edge Models: You'll implement and scale sophisticated inference stacks for LLMs using frameworks like vLLM, TensorRT-LLM, or SGLang . You’ll solve complex challenges in throughput, latency, token streaming, and automated scaling to deliver a seamless user experience. Empower AI Innovation: You will act as a strategic partner to our AI Research and Data Science teams. You’ll create a seamless developer experience that accelerates their ability to experiment, fine-tune, and deploy groundbreaking models with velocity and confidence. Automate Everything: You'll develop robust CI/CD/CT (Continuous Training) pipelines using tools like Argo Workflows, ArgoCD, and GitHub Actions to automate model validation, deployment, and lifecycle management, ensuring our systems are both agile and rock-solid. What are we looking for Experience: 5+ years in infrastructure or software engineering, with at least 2+ years laser-focused on MLOps or ML infrastructu

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary Experienced individual contributor responsible for independently accomplishing customer-focused system validation for enterprise and data-center SSD products. Owns end-to-end validation for assigned platforms, contributes to validation planning and test development, applies advanced technical judgment, and provides technical guidance without formal management duties. Responsibilities: • Independently plan and complete customer-specific SSD/system validation cycles and qualification runs. • Set up, configure, and ensure the ongoing validation of environments including systems, firmware, OS, and platform settings. • Analyze validation results, identify failures, and determine next steps including debug and risk assessment. • Develop, extend, and maintain validation test cases, scripts, and automation. • Serve as technical owner for assigned projects, providing mentorship and sharing guidelines across teams. • Applying Artificial Intelligence to improve day-to-day working efficiency Minimum Qualifications: • Bachelor’s degree in Computer science, Electrical/Computer Engineering, or a related field with 6 years of experience in customer, system, or product validation roles. • Strong knowledge and experience with NVMe and PCIe protocols and debugging skills across system, firmware, and hardware domains. • Hands-on experience accomplishing system-level validation in complex hardware/software

BEFORE PROCEEDING, PLEASE REMEMBER TO ADD THE CORRECT TAGS! (See tags list below) About the Role Tell potential applicants about the team’s core values. This will help ensure candidates who share Zoox’s values apply. Highlight the broader impact of the team and Zoox. Quality applicants are drawn to work that is meaningful. How will a candidate be contributing and making a difference? Communicate that there are opportunities for learning and growth. Great candidates seek out companies that support growth and learning. Remember: Candidates are looking for cues about whether or not they will fit in at Zoox, so make sure your language is balanced and inclusive. Example: The Autonomous Driving Software Integration team at Zoox is responsible for bringing together the computer science world with the automotive world in order to create an amazing product for everyone. Our team has a collaborative culture marked by openness and supportive risk-taking. You’ll be part of a passionate team dedicated to making cities safer, smarter and more sustainable. Together with the team, you will define the driving experience of the robot by engineering application software responsible for decision making, trajectory planning, and controls. We are looking for an engineer who is excited to traverse the autonomous driving compute stack, loves to learn new things, and likes to take ownership of major software components. If you like to work close to the robot platform and enjoy experiencing your developed software in the robot, we would like to hear from you. TAGS - Data Science - Communications - Design and Product - Operations - Finance - Procurement - Hardware Engineering - Product Security - Human Resources - Program Management - Information Technology - Quality - Legal and Policy - Software Engineering - Manufacturing Operations - Supply Chain - Systems and Safety In this role, you will: Own and execute Design Verification Plans (DVP&R) for suspension comp

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Hands-on technical contributor responsible for customer-focused system validation of enterprise and data-center SSDs, owning execution, debugging, qualification, and multi-functional coordination. Responsibilities: • Plan and implement customer‑specific system and SSD validation cycles, including regressions and qualification runs. • Set up and maintain validation environments and analyze test results to drive root‑cause resolution. • Perform system‑level and drive‑level debugging and reproduce customer‑reported issues. • Develop and enhance validation test cases, scripts, and automation frameworks. • Own the process of conducting validation for assigned programs while mentoring developing engineers and contributing to test strategy. • Applying Artificial Intelligence to improve organizational level working efficiency Minimum Qualifications: • Bachelor’s degree in Computer science, Electrical/Computer Engineering, or a related field with 8+ years of experience in customer, product, or system validation roles. • Strong knowledge and experience with NVMe and PCIe protocols and debugging skills across system, firmware, and hardware domains. • Hands-on experience accomplishing system‑level validation in complex hardware/software environments. • Experience collaborating with multi-functional engineering teams (firmware, hardware, systems). • Proficiency with scripting/programming in Python, C/C++, or similar languages and understanding of val

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary Hands-on technical contributor responsible for customer-focused system validation of enterprise and data-center SSDs, owning execution, debugging, qualification, and multi-functional coordination. Responsibilities: • Plan and implement customer‑specific system and SSD validation cycles, including regressions and qualification runs. • Set up and maintain validation environments and analyze test results to drive root‑cause resolution. • Perform system‑level and drive‑level debugging and reproduce customer‑reported issues. • Develop and enhance validation test cases, scripts, and automation frameworks. • Own the process of conducting validation for assigned programs while mentoring developing engineers and contributing to test strategy. Minimum Qualifications: • Bachelor’s degree in Computer science, Electrical/Computer Engineering, or a related field with 8+ years of experience in customer, product, or system validation roles. • Strong knowledge and experience with NVMe and PCIe protocols and debugging skills across system, firmware, and hardware domains. • Hands-on experience accomplishing system‑level validation in complex hardware/software environments. • Experience collaborating with multi-functional engineering teams (firmware, hardware, systems). • Proficiency with scripting/programming in Python, C/C++, or similar languages