Validation Engineer Jobs

Job Details: Job Description: The Role and Impact As a GPU Logic Design Engineer, you will contribute to the design and validation of cutting-edge graphics IPs, including compute, display, and media units. You will be immersed in the creation of register transfer level (RTL) coding, simulation, and optimization strategies to meet power, performance, area, and timing goals. By leveraging your expertise, you will play a pivotal role in enabling high-quality integration of GPU blocks into larger system-on-chip (SoC) designs, directly impacting Intel's future graphics technologies. Business Group You will be joining Intel's Data Center Group (DCG), a team dedicated to driving innovation and delivering high-performance solutions for data-centric workloads. The group focuses on developing advanced graphics hardware that powers data center GPU solutions, supporting Intel's broader mission of creating world-changing technology that enriches lives. It offers an exciting environment where collaboration and technical excellence intersect to shape the future of visual computing. Key Responsibilities - Develop logic design, RTL coding, and simulation for graphics IPs, ensuring compliance with power, performance, area, and timing requirements. - Participate in defining architecture and microarchitecture features for GPU blocks. - Optimize logic design to support physical implementation while maintaining design integrity. - Review and implement verification plans to ensure design features are accurately tested across verification hierarchies. - Drive unit-level verification and resolve RTL test failures to ensure feature correctness. - Support SoC customers in integrating GPU blocks effectively for high-quality results. <p style="text-align:inhe

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. What’s Encouraged Daily: Serve as the primary onsite engineering interface for enabler and customer validation and qualification engagements. Build and sustain trusted relationships to ensure specification and test requirements are clearly understood and met. Align Micron test strategies and plans with joint validation expectations from key enablers and customers. Proactively identify and drive improvements to Micron customer validation and qualification processes. Develop and deliver technical content for customer‑facing and internal presentations. Partner across teams to identify, assess, and mitigate customer validation and qualification risks. Support enabler and customer sample bring‑up, ensuring delivered solutions meet defined expectations and requirements. Optimize the memory SI through modifying the BIOS setting, and compile it to test. Lead technical debug and root cause analysis efforts, providing clear, timely communication to stakeholders and customers. Create and maintain customer validation reports and shared documentation repositories. Educate Micron development and validation teams on customer qualification processes and critical customer requirements. Communicate issues, risks, and insights to engineering, planning, and marketing teams to enable

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. BKM Fan-Out & Productivity Improvement Lead BKM deployment and fan-out activities across sites. Identify, evaluate, and prioritize fan-out opportunities that deliver measurable productivity, yield, cost, quality, or cycle-time improvements. Drive qualification, implementation, and effectiveness validation of approved BKMs across manufacturing areas. Partner with Process, Equipment, Manufacturing, Product Engineering, and Quality teams to accelerate best practice adoption. Change Management & Governance Establish and maintain structured governance processes to ensure effective tracking, execution, and sustainability of BKM deployments. Develop KPI dashboards and reporting mechanisms to monitor implementation status, effectiveness, and business impact. Facilitate cross-functional reviews, risk assessments, and stakeholder alignment to drive successful change adoption. Ensure lessons learned and best practices are systematically transferred across products, sites, and organizations. AI-Driven Productivity & Digital Transformation Utilize AI and advanced analytics tools to identify improvement opportunities, recommend best practices, and accelerate decision-making. Develop and deploy AI-enabled dashboards, knowledge repositories, and data-driven monitoring systems to support productivity initiatives. Leverage machine learning, predictive analytics,

As a Solutions Engineer at Speechmatics, you’ll play a key role in helping customers successfully evaluate and adopt our industry-leading speech technology. You’ll partner closely with Sales to guide customers through the entire technical journey, from discovery and solution design to proof-of-concept delivery and technical validation. This is a hands-on role: you’ll build demos, write code, deploy environments, and solve real customer problems. You’ll also take ownership of selected accounts, helping scale the team’s impact while gaining exposure to global customers across multiple industries. We’ll support you with structured onboarding and training so you can quickly become confident with our technology and customers. What You’ll Be Doing Partnering with Sales to lead the technical pre-sales process from discovery to close Understanding customer requirements (security, scale, integrations, accuracy, workflows) and designing practical solutions Building and delivering technical demos, prototypes, and Proofs of Concept (PoCs) Deploying and configuring environments in cloud or on-prem setups for customer evaluations Writing scripts or lightweight integrations (Python or JavaScript) to support demos and customer testing Troubleshooting customer challenges and guiding them toward successful outcomes Delivering engaging technical presentations to customers, partners, and events Supporting conferences and showcases globally, including international travel, to deliver compelling technical demonstrations Sharing knowledge internally and helping Sales stay up to date as our platform evolves Who We’re Looking For: Previous experience working in a customer-facing technical role (Sales Engineering, Solutions Engineering, Pre-Sales, Technical Consulting, or similar) Hands-on programming ability - ideally Python/JavaScript Comfortable working with APIs (REST an

The Research Engineer – Mechatronics is a hands-on engineering role within the TaylorMade Research & Development team, focused on the design, prototyping, integration, and validation of electromechanical systems that advance golf equipment and player performance. This role demands deep practical expertise in mechatronics, sensor systems, electronic hardware, wiring, and embedded controls, combined with the ability to develop supporting software and user-facing tools. The ideal candidate is a builder and problem-solver who thrives in a laboratory and prototype environment, producing functional systems from concept through deployment. Essential Functions and Key Responsibilities: Design, prototype, wire, assemble, and test mechatronic and electromechanical systems used in golf equipment evaluation, performance measurement, and product development Develop and interpret wiring diagrams, schematics, and electrical specifications for custom hardware assemblies, test rigs, and IoT-connected devices Select, integrate, and characterize sensors (IMUs, load cells, encoders, pressure sensors, optical sensors, etc.) – including defining operating limits, calibration procedures, and signal conditioning requirements Design and implement IoT systems and wireless data acquisition platforms that capture real-time performance data from equipment and players Develop embedded firmware and control software for microcontrollers and microprocessors (e.g., Arduino, Raspberry Pi, STM32 or similar) to drive test automation and data capture systems Write clean, maintainable code to interface with hardware, process sensor data, and build internal and user-facing applications and interfaces; leverage AI-assisted development tools to accelerate prototyping and automate test routines; apply basic computer vision techni

Leidos is seeking a Test and Integration Engineer to lead cutting-edge testing and validation efforts within the Undersea Systems Division (USD) . This role is a unique opportunity to drive innovation in testing underwater vehicle systems, maritime sensors, subsea telemetry, and ISR solutions that support critical defense and national security missions. You'll contribute to a multidisciplinary team focused on testing, integrating, and validating advanced maritime technologies, ensuring system reliability and performance from prototype design to full-scale system deployment for ongoing Navy missions. Leidos’ Undersea Systems Division is a recognized leader in C4ISR technologies, delivering innovative, mission-critical solutions across sensor networks, unmanned systems, and tactical platforms . We’re known for achieving “industry firsts” in the most challenging maritime domains. Join us and be part of a world-class team delivering unmatched solutions for today's most pressing maritime missions. Why Join Us? Make an Impact : Your work will directly support U.S. maritime dominance and national security. Lead Innovation : Be at the forefront of applying innovative technology and autonomy to real-world maritime systems. Work with Experts : Collaborate with a top-tier team of engineers, scientists, and technicians located across the U.S. Shape the Future : Influence both the strategic and tactical direction of next-generation subsea technologies. What You’ll Do Test and Validate: Write, develop and execute comprehensive test plans, procedures, and protocols to ensure system functionality, reliability, and compliance with requirements. Integrate systems and conduct hands-on testing: Write, develop, and execute integration plans to bring complex systems together. Perform field</b

What You'll Do Physical scientist/engineer to take responsibility for testing and validation of novel hardware systems What We're Looking For Hands-on laboratory experience and the ability to work independently Familiarity with test and measurement equipment including: oscilloscopes, lock-in amplifiers, spectrum analyzers, PID controllers, etc. Proven diagnostic and troubleshooting skills, coupled with the drive to understand experimental results fully before proceeding Diligent record-keeping habits and facility with Python/Matlab/equivalent for data analysis and visualization Ability to work on-site (up to five days/week) in the San Francisco Bay Area Given the nature of the work, U.S. citizenship is required. Useful Experience Background in experimental physics, particularly in quantum or optical measurements Hands-on EE design and manufacturing experience: analog and digital electronics, board layout, soldering, etc. Excellent data presentation skills A desire to learn new skills outside your current area of expertise Proficiency using the latest AI tools to accelerate workflow

As a Solutions Engineer at Speechmatics, you’ll play a key role in helping customers successfully evaluate and adopt our industry-leading speech technology. You’ll partner closely with Sales to guide customers through the entire technical journey, from discovery and solution design to proof-of-concept delivery and technical validation. This is a hands-on role: you’ll build demos, write code, deploy environments, and solve real customer problems. You’ll also take ownership of selected accounts, helping scale the team’s impact while gaining exposure to global customers across multiple industries. We’ll support you with structured onboarding and training so you can quickly become confident with our technology and customers. What You’ll Be Doing Partnering with Sales to lead the technical pre-sales process from discovery to close Understanding customer requirements (security, scale, integrations, accuracy, workflows) and designing practical solutions Building and delivering technical demos, prototypes, and Proofs of Concept (PoCs) Deploying and configuring environments in cloud or on-prem setups for customer evaluations Writing scripts or lightweight integrations (Python or JavaScript) to support demos and customer testing Troubleshooting customer challenges and guiding them toward successful outcomes Delivering engaging technical presentations to customers, partners, and events Supporting conferences and showcases globally, including international travel, to deliver compelling technical demonstrations Sharing knowledge internally and helping Sales stay up to date as our platform evolves Who We’re Looking For: Previous experience working in a customer-facing technical role (Sales Engineering, Solutions Engineering, Pre-Sales, Technical Consulting, or similar) Hands-on programming ability - ideally Python/JavaScript Comfortable working with APIs (REST an

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. Micron is the fastest growing semiconductor company in India offering a wide & attractive range of career opportunities. One of the rapidly growing functions within Micron India is the Micron SDV (Silicon Design Validation) team in Hyderabad and the team is looking to hire for the position of NAND Silicon Design Validation Product where you will be responsible in the development, validation, characterization, and qualification of new state-of-the-art NAND Flash memory products. There is a tremendous scope for individual learning and career growth in this role. In addition to the SDV responsibilities, you will also work multi-functionally with NAND R&D, Design, and other various engineering teams towards new product startup , define, validate & deliver product specifications and requirements. Also, Product Engineers are the key product-specific point of contact with high visibility for critical issues and act as the main interface between Research and Development, Manufacturing, Business Units, and Quality Assurance departments. Responsibilities include, but not limited to: Leading validation projects from start to finish - bringing up overall coverage plan during post-silicon phase, planning development timeline, planning and implementing test development before silicon availability, taking

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. As part of the SSDQRA Test Development organization, you will drive the development of next-generation AI-Agent-powered test development and qualification platforms that transform how SSD validation, reliability testing, and qualification workflows are designed, executed, analyzed, and optimized. In this role, you will build intelligent AI agents capable of autonomously generating test content, optimizing test coverage, orchestrating qualification execution, analyzing failures, identifying reliability risks, and accelerating engineering decision-making. The focus is on creating an ecosystem of collaborating engineering agents that improve test effectiveness, reduce qualification cycle time, increase automation, and enhance product quality across SSD programs. You will partner with Test Development, Qualification Engineering, Reliability Engineering, Product Engineering, System Engineering, Data Science, and IT teams to develop scalable agentic solutions that enable autonomous and data-driven engineering operations. Key Responsibilities Next-Generation AI Agent-Based Test Development Develop AI-powered agents and copilots to automate SSD test development, validation, and qualification activities. Build solutions for automated test code generation, test case recommendations, coverage analysis, and requirement-to-test traceability. Design agent-based workflows for qualification planning, tes

We’re looking for a Systems Engineer to join our globally distributed Trading Infrastructure team. This is an end-to-end role: you will work on full-stack infrastructure tasks — from new site/provider setups and environment bring-up to validation testing, troubleshooting, and performance bottleneck analysis. You will collaborate closely with vendors, network and hardware engineers and take ownership of delivering reliable production-ready setups What You’ll be doing Deliver end-to-end infrastructure setups across regions/colocations: bring-up, validation, and go-live readiness Own the systems side of the stack: Linux servers, OS baseline, automation, configuration, and performance tuning Run and improve testing/validation: connectivity checks, load/performance tests, failure testing, and readiness checklists Participate in investigation of complex issues and bottlenecks across layers (OS/kernel/drivers/dependencies) and drive fixes with network/hardware peers and 3rd party vendors Build repeatable automation and rollout playbooks (Terraform/Ansible, scripting, standards) Improve observability: metrics/logs, dashboards, alert tuning, and latency/performance baselines Strengthen operations: runbooks, incident reviews (RCA), change hygiene, and documentation Participate in scheduled on-call rotations to support trading infrastructure and incident response. What we look for in you: Hands-on production experience with Linux and systems troubleshooting Ability to debug across layers and coordinate effectively with network/hardware engineers Solid networking fundamentals (TCP/IP, DNS, routing basics, MTU, packet loss/jitter symptoms) Automation mindset: bash/Python; Terraform/Ansible experience is a plus Strong written and verbal communication (clear status updates and documentation) Passion for technology and continuous learning Nice-to-Have: Low-latency / performance tuning experience (CPU/IRQ affinity, NIC tuning, etc.). Colocation / provider coordination ex

About the Team The Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software is reliable, testable, and ready to ship. We design and maintain automated test frameworks, hardware-in-the-loop labs, and release pipelines that keep quality signals trustworthy and enable rapid, safe product launches. Our work spans developer tools, automation, systems integration, and cross-team collaboration to ensure every release meets the highest standards. About the Role As a Software Engineer, Quality and Developer Tools , you will build and own the systems that validate our device software—from test frameworks and regression infrastructure to hardware-in-the-loop labs and release gates. You’ll design the tooling and automation that keep quality signals trustworthy, integrate them into CI/CD, and make it easy for engineers and QA vendor technicians to execute reliable, repeatable workflows. We’re looking for engineers with deep experience in software quality, automation, developer tooling, and hardware-software integration who thrive on building scalable, reliable systems for validation and release readiness. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Test infrastructure & frameworks: Design, implement, and maintain a unified test framework for device software across unit, integration, system, and end-to-end testing, with reproducible runs and integrations with GitHub, Linear, and Slack. CI/CD integration & releases: Integrate test suites with Buildkite, enforce promotion criteria for staging and production, auto-file regressions, and publish traceable artifacts and release notes. Hardware-in-the-loop lab design & orchestration: Plan and bring up racks, power and networking systems, and orchestration for device testing; support automated flashing, provisioning

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior. In this role, you will: You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc. You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field You will develop metrics and tools to analyze errors and understand improvements of our systems You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Experience with training and deploying transformer-based model architectures and reinforcement learning Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++

The SDET is responsible for embedding quality throughout the software development lifecycle by combining Automation, API validation, and AI-driven quality practices to ensure reliable and scalable solutions. Acting as a strategic partner to Product, Engineering, and DevOps teams, the role helps Veriforce deliver high-quality software that supports the company's commitment to safety, compliance, and customer success. • Test Planning: Collaborate within a cross-functional scrum team to understand project requirements, define test strategies, and develop comprehensive test plans. • Test Case Development: Design, document, and maintain detailed test cases and test scenarios to validate functionality, customizations, performance, security, and integrations. • Automation Testing: Develop and maintain automated test scripts using industry-standard tools and frameworks to improve testing efficiency, coverage, and repeatability. AI agent assistance will be leveraged wherever possible. • API & Data Validation: Design and execute tests to validate APIs, data flows, and system integrations, ensuring accuracy, consistency, and security of data across services and environments. Collaborate with developers to troubleshoot and resolve interface and data-related issues. • Manual Testing: Perform thorough manual testing of applications, identifying and documenting defects, and working closely with developers to ensure timely resolution. • CI/CD Integration: Integrate automated tests into the CI/CD pipeline to ensure rapid and reliable feedback on code quality. Work closely with DevOps and engineering teams to enable continuous testing and maintain test stability in dynamic deployment environments. • AI/ML: Integrate AI/ML-driven approaches for intelligent test generation, dynamic test prioritization, anomaly detection, and predictive quality analytics to accelerate feedback loops and optimize test coverage • Performance Testing: Evaluate the performance and scalability of application

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Engineer for a senior individual-contributor role leading printed circuit board assembly (PCBA) test fixtures and infrastructure for advanced robotic systems. You will independently turn evolving requirements into working fixtures, make technical tradeoffs, and own delivery from concept and detailed design through fabrication, validation, deployment, and reliable operation. This role combines development-lab work with deployment at contract manufacturers. You will build precision mechanical systems for board programming, functional test, and characterization, including board nests, probe plates, connector interfaces, alignment features, clamps, enclosures, and thermal interfaces. You will partner with electrical, firmware, software, manufacturing, and reliability teams to make fixtures repeatable, protective of delicate assemblies, and maintainable as board designs evolve. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. Travel to contract-manufacturer sites is part of the role, with timing based on build and deployment needs. In this role, you will: Own the mechanical architecture of PCBA test stations, including frames, board nests, datum schemes, access, guarding, ergonomics, and serviceability. Design probe and bed-of-nails fixtures, connector-mating mechanisms, board supports, clamps, and interchangeable tooling for programming, functional test, and characterization. Use first-principles analysis and simulation to assess stiffness, probe and insertion forces, board def