Silicon Verification Engineer for Advanced AI Solutions

Join MatX in Revolutionizing AI Technologies At MatX, we are on a mission to enhance the efficiency of the world’s best AI models, propelling the advancement of AI quality and accessibility. We are looking for talented Silicon Verification Engineers to be part of our innovative team, dedicated to developing top-tier silicon solutions for high-performance and sustainable Generative AI. In this role, you will play a crucial part in ensuring the delivery of high-performance and functionally precise silicon for MatX products, encompassing compute, memory management, high-speed connectivity, and other pivotal technologies. Your Responsibilities: Contribute to the enhancement of MatX’s verification methodology, offering scalable solutions across blocks, subsystems, full chip, and system-level validation. Take ownership of verification execution at both subsystem and chip levels, developing testbenches, tests, and related artifacts to achieve structural and functional coverage closure. Plan and lead intermediate and sign-off reviews on verification test plans, track execution progress, and ensure verification closure in line with critical silicon milestones such as design freeze and tapeout. Who We Are Looking For: Experience in driving verification from architecture and/or design specifications through to production silicon. Proficiency in SystemVerilog, Python, C/C++, Bluespec, and similar scripting and programming languages for verification and silicon modeling. Hands-on experience with advanced verification methodologies like UVM and assertion-based verification (ABV); comfort with both formal and simulated verification is essential. Experience in creating portable tests and drivers for silicon validation and post-silicon debugging. Strong understanding of silicon micro-architecture and design concepts used in high-performance computing (CPUs, GPUs, accelerators), high-speed connectivity, memory management, and related functionalities. Familiarity with emulation and prototyping platforms and methodologies is advantageous. Hands-on experience in silicon debugging and bring-up will be considered a strong plus.

Role Overview matx is hiring a Rust Software-Silicon Co-verification Engineer in Mountain View, CA. This position focuses on building solutions that connect software and hardware verification. The engineer will work with teams across disciplines to support the design and implementation of silicon products. What You Will Do Work with cross-functional teams to align software and hardware verification processes Apply Rust programming skills to co-verification tasks Support the development and validation of silicon products Location Mountain View, CA

Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we focus on advancing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service, having completed over ten million rider-only trips and amassed more than 100 million miles of real-world driving and tens of billions of miles in simulation across 15+ U.S. states.Our Compute Team plays a vital role in this mission by delivering the compute platform that runs the software stack of our fully autonomous vehicles. We design and develop high-performance custom silicon and system-level compute architectures that break barriers in performance, power, and latency. Our multidisciplinary team is searching for curious and skilled individuals to contribute to one of the highest performance automotive compute platforms in the world.This position follows a hybrid work schedule and reports to a Silicon Engineering Lead.Your Responsibilities:Define and execute the formal verification strategy for first-pass silicon success. Own the formal verification sign-off approach across intricate IP and SoC designs using advanced formal techniques (e.g., Bounded Model Checking, Datapath Validation, Connectivity, Sequential LEC, etc.).Design and implement robust and scalable formal verification environments. Create and deploy reusable formal testbenches, methodology flows, and comprehensive SVA assertion suites for systematic application across multiple design blocks and projects.Provide technical leadership and mentorship. Act as the team’s formal Subject Matter Expert by training logic designers and verification engineers to effectively implement formal methods in their workflows.Engage in strategic planning and execute test plans. Collaborate with Architecture and Design teams to translate complex system and IP specifications into thorough formal verification test plans.Enhance FV Infrastructure and Reporting. Maintain and improve continuous integration, regression flows, and dashboards to deliver clear, actionable formal verification status and sign-off metrics.

About MatX At MatX, we are pioneering the development of cutting-edge hardware specifically designed for the most advanced AI models. Our innovative solutions aim to accelerate the availability of superior intelligence by 3-5 years. We are committed to delivering vertically integrated, full-stack solutions that encompass everything from silicon to systems, including both hardware and software, to effectively train and run the largest AI models in the world. We invite you to join our dynamic team as an Architect, where you will play a pivotal role in crafting high-performance and sustainable silicon for Generative AI. Your Responsibilities Lead the development, support, and ownership of hardware architecture throughout the complete product lifecycle. Gain a comprehensive understanding of customer use cases, workload performance, and research in machine learning systems. Create detailed requirements and architecture specifications. Work collaboratively with hardware, software, and machine learning research teams at all project stages. Enhance performance using both pre- and post-silicon tooling. Participate in the verification and validation processes. Take an active role in problem-solving and delivering tangible results. Candidate Profile Proven experience in chip or system architecture, silicon design, or related hardware development. Demonstrated success in delivering innovative features and techniques for chips and systems in areas such as machine learning, computing, networking, and storage. Expertise in SystemVerilog, Python, C/C++, Rust, Bluespec, or other relevant programming languages for silicon design and architecture. Adept at troubleshooting complex architectural challenges across design, validation, system engineering, software, and field support. This position is hybrid, requiring you to work from our Mountain View, CA office three days a week (Tuesday through Thursday).

Join matx as a Silicon Design-for-Test (DFT) Engineer where you'll play a crucial role in enhancing the testing capabilities of our cutting-edge silicon products. You will collaborate with cross-functional teams to ensure our designs meet the highest standards of quality and reliability.

At MatX, our mission is to revolutionize AI efficiency, propelling advancements in AI quality and accessibility. We are on the lookout for talented Silicon Physical Design Engineers to join our innovative team, dedicated to crafting high-performance and sustainable silicon solutions tailored for Generative AI. As a Silicon Physical Design Engineer, you will play a pivotal role in developing functionally accurate and high-performing silicon for MatX products, spanning compute, memory management, high-speed connectivity, and other cutting-edge technologies across advanced process nodes.Key Responsibilities:Contribute to the development of MatX’s Physical Design methodology, ensuring scalability across block, subsystem, and full chip designs from RTL to GDSII.Take ownership of physical design deliverables for entire subsystems or chip-level components, including construction (partitioning, floorplanning, synthesis, place & route, clocking) and sign-off (equivalency, extraction, timing, power estimation, EMIR, physical verification).Plan and lead intermediate and sign-off reviews while reporting on execution progress towards silicon milestones, including design freeze and tapeout.Collaborate closely with Design, DFT, and other Physical Design team members to achieve optimal Performance-Power-Area (PPA) results.

About CommerceIQ CommerceIQ builds AI-driven solutions that help brands improve their digital commerce performance. The platform supports over 2,200 brands, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez, across more than 900 retailers in 50+ countries. CommerceIQ’s tools help optimize marketing, supply chain, and sales operations to grow market share. The company has raised over $200M from investors such as SoftBank, Insight Partners, and Madrona. Learn more at commerceiq.ai. Role Overview CommerceIQ is hiring a Director of Engineering - AI Solutions to lead the development of advanced AI-powered SaaS products. This leader will shape the technical architecture of the AI platform while guiding and mentoring a team of engineers. The role combines hands-on engineering with team leadership. What You Will Do Drive the design and implementation of AI and agentic applications for digital commerce. Work closely with co-founders to push the boundaries of applied AI in the industry. Scale AI systems from research through production, ensuring real business impact for global brands. Mentor and develop engineering talent within the AI team. Who We’re Looking For Experienced technical leader in Data Science and Machine Learning. Background in training and deploying machine learning models at scale. Experience developing agentic applications. Comfortable working both as a hands-on contributor and as a mentor. Location and Work Schedule This is an onsite role based at CommerceIQ’s headquarters in Mountain View, California. The team works in the office Monday through Friday.

Waymo is seeking a dedicated and talented ASIC Design Verification Engineer to join our innovative team in Mountain View, CA. In this role, you will be crucial in ensuring the quality and performance of our cutting-edge ASIC designs. Your expertise will help us in validating and verifying complex designs, contributing to the future of autonomous vehicles.

Reliable Robotics is seeking a Senior Flight Software Verification Engineer based in Mountain View, CA. This position centers on verifying and validating flight software used in autonomous flight operations. Role overview The Senior Flight Software Verification Engineer leads initiatives to ensure the quality and reliability of flight software. Work in this role directly affects the safety and performance of advanced aviation systems. Key responsibilities Verify and validate flight software for autonomous aircraft systems Lead efforts to confirm software meets safety and reliability standards Support safe and efficient autonomous flight operations through rigorous testing Impact This position plays a central part in maintaining the safety of advanced aviation systems by focusing on the dependability of flight software.

Join us at Reliable Robotics as we pioneer groundbreaking safety technologies for aviation aimed at saving lives. Our automated aviation systems are poised to revolutionize air transportation, making it safer and more efficient for the global movement of goods and, eventually, people. Our dedicated team of engineers, experienced in aerospace, robotics, and autonomous vehicles, is committed to shaping this transformative future.As a Senior FPGA Verification Engineer, you will play a vital role within our Embedded Systems team, which is responsible for the complete lifecycle of the firmware and software that power the Reliable Robotics autonomy stack. We develop reliable computing, networking, signal acquisition, and motor control solutions that bring our aircraft to life. Your expertise will facilitate crucial equipment and aircraft product demonstrations, advance the development of sophisticated capabilities, and lay the groundwork for product certification and market delivery.

As a Senior Software Engineer specializing in Perception Verification at Waymo, you will play a crucial role in enhancing the safety and performance of autonomous driving technology. Your expertise will guide the development of innovative algorithms and systems that validate perception capabilities, ensuring our vehicles can navigate the complexities of real-world environments.This position offers an exciting opportunity to work at the forefront of technology, collaborating with a talented team of engineers and researchers dedicated to revolutionizing transportation.

ABOUT JUUL LABS: At Juul Labs, we are on a mission to help the world's billion adult smokers transition away from combustible cigarettes. We strive to eliminate cigarette usage and combat underage consumption of our products. Our dedication to exceptional quality, rigorous research, innovative design, and cutting-edge technology allows us to tackle one of the most challenging public health issues. Supported by leading technology investors, we prioritize excellence in everything we do, including the recruitment of top-tier talent. We are proud of our diverse team united by a shared purpose, actively seeking the best engineers, scientists, designers, product managers, operations experts, and business professionals to join us. If you're looking for a compelling opportunity to advance your career, we invite you to explore this role. ROLE OVERVIEW AND RESPONSIBILITIES: Lead design reviews (DFM) for R&D prototype fixture design, manufacturing equipment, and custom tooling, ensuring readiness for new product launches. Drive automation strategy, ensuring hardware meets strict performance and regulatory standards. Support the complete development of automation systems, from initial design through to installation at global contract manufacturing sites. Act as the technical lead for equipment qualification, managing Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT). Systematically troubleshoot complex system failures down to the component level, minimizing downtime during product scale-up. Identify root causes of equipment and system test failures. Possess in-depth knowledge of machine design and qualification, including calibration, correlation, capability, repeatability, reproducibility, and proficiency in data analytics and statistical methods. Develop and oversee the writing of User Requirement Specifications, Statements of Work, and manufacturing requirement specifications. KEY SUCCESS DELIVERABLES: Successful execution of FAT/SAT: Seamless documentation of equipment qualification for at least two major production lines. Yield Optimization: Creation of statistical reports that refine pass/fail criteria, leading to a tangible reduction in scrap rates. Process Stability: Completion of Gauge R&R and CPK studies demonstrating machine capability (Cpk > 1.33) for critical quality dimensions. Failure Resolution: Decrease in Mean Time to Repair (MTTR) through structured troubleshooting guides for contract manufacturing organizations (CMO).

Company OverviewID.me is at the forefront of digital identity verification, creating a next-generation wallet that simplifies how individuals securely prove their identity online. With over 152 million users, we enable seamless logins across various platforms, eliminating the need for multiple logins and verifications. Our services are utilized by 20 federal agencies, 45 state governments, and more than 70 healthcare organizations. Over 600 consumer brands leverage our technology to build authentic relationships and honor community service. ID.me adheres to the federal standards for consumer authentication set by the Commerce Department and is recognized as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. We are committed to ensuring that no one is left behind in the digital identity landscape. To explore more about us, visit https://network.id.me/.Role OverviewWe are on the lookout for a Staff Software Engineer to join our Wallet – Authentication & Verification Experiences team. This pivotal team is responsible for the core authentication and identity verification processes that millions of users depend on daily, including secure logins, multi-factor authentication, passkeys, and biometric integrations. As a Staff Engineer, you will serve as a technical cornerstone in one of the most crucial and high-traffic engineering domains at ID.me, steering architectural decisions, leading complex cross-functional projects, and elevating our standards for engineering quality, security, and reliability. You will work closely with product, security, and platform teams to shape the future of authentication and verification experiences at ID.me.This position requires on-site work at our Mountain View, CA office five days a week.

Who We AreNuro is pioneering self-driving technology with the goal of making autonomy available to everyone. Established in 2016, Nuro is developing the world's most scalable autonomous driver, integrating advanced AI with automotive-grade hardware. Our core technology, the Nuro Driver™, is licensed for a variety of uses, ranging from robotaxis and commercial fleets to personal vehicles. With years of successful self-driving operations behind us, Nuro is paving the way for automakers and mobility platforms to implement autonomous vehicles at commercial scale, fostering a safer, more connected future.About the RoleAs a Senior/Staff Systems Engineer focusing on Autonomy Verification, your key responsibility will be to ensure the Nuro Driver's safety for deployment within our defined Operational Design Domain (ODD) and adherence to traffic regulations. This role requires a background in autonomous systems development or validation and a collaborative spirit to work effectively with diverse teams including Autonomy Software, Simulation, Product, and Operations. You will hold comprehensive ownership from defining requirements to designing metrics and developing test strategies.About the WorkEstablish requirements for the autonomous system to guarantee safe operation within its ODD and compliance with traffic laws.Develop metrics and acceptance criteria to confirm that the autonomous system meets these requirements, leveraging established safety standards and methodologies.Utilize a variety of testing strategies - synthetic and log simulations, on-road logs, closed-course tests, and third-party accident reconstructions - to validate requirements.Work closely with teams in Behavior, Perception, Data Science, Product, Legal, and Public Trust to formulate acceptance criteria for metrics and tests.Collaborate with simulation infrastructure and test integration teams to establish automated verification workflows.Assess the coverage of tests for our ODD, ensuring realism and relevance in simulations for deployment. Connect test outcomes as evidence supporting the Autonomy Safety Case.

About UsNuro is at the forefront of self-driving technology, dedicated to making autonomy available to everyone. Established in 2016, we are developing the most scalable autonomous driver, integrating advanced AI with top-tier automotive hardware. The Nuro Driver™ technology is licensed for various applications, including robotaxis, commercial fleets, and personal vehicles. With years of successful self-driving implementations, Nuro paves the way for automakers and mobility platforms to achieve commercial-scale autonomous vehicles, fostering a future that is safer, more integrated, and enriched.Role OverviewAs a Senior/Staff Software Engineer specializing in driving behavior verification, you will play a crucial role in developing metrics to assess the complete behavior of the Nuro Driver. These metrics will be pivotal in quantifying the safety of our driving behavior within designated operational domains (ODD). Your background in behavior planning or prediction systems for robotics, along with a collaborative spirit, will allow you to effectively engage with diverse teams across Nuro, including Systems, Onboard Software, Simulation, Product, and Operations.Key ResponsibilitiesCreate and implement generalized metrics in Python to validate the driving behavior of autonomous vehicles.Utilize a mix of machine learning models and safety metrics from established literature to analyze end-to-end driving performance.Test and evaluate these metrics through various methods: synthetic and log simulations, on-road data, closed-course tests, and third-party accident analyses.Collaborate with Systems, Behavior, Perception, Data Science, Product, Legal, and Public Trust teams to define acceptance criteria for metrics and tests.Work alongside simulation infrastructure and test integration teams to establish automated verification processes.Produce comprehensive performance and validation reports demonstrating the safety of the autonomous system for deployment within our target ODD.

About Us:Aeva is at the forefront of redefining perception in various sectors including automated driving, industrial robotics, consumer electronics, health, and security. Our revolutionary sensing and perception technology integrates all essential LiDAR components onto a silicon photonics chip, creating a compact and highly efficient module. Aeva’s 4D LiDAR sensors provide the unique capability to detect instant velocity alongside 3D positioning, empowering autonomous devices—such as vehicles and robots—to make smarter and safer decisions. Role Overview:We are on the lookout for a talented and driven Verification and Validation (V&V) Engineer to become a vital part of our team. This position centers around the thorough testing and quality assurance of our state-of-the-art LiDAR products. The ideal candidate will possess hands-on engineering experience, robust programming skills, a keen interest in data analysis, and a proven track record in developing reliable test solutions for intricate systems.

About Our TeamThe Systems Engineering team at Nuro plays a pivotal role in defining the requirements, architecture, and validation processes for our autonomous driving capabilities. We focus on establishing performance metrics, evaluation methods, and success criteria that guide cross-functional efforts through requirement definitions and system validations. Operating at the intersection of hardware, software, and robotic operations, we possess a profound understanding of technologies across these domains. Our small, high-impact team sets the benchmarks for autonomy deployment.About the RoleAs a Senior/Staff Software Engineer specializing in Fault Response Verification, you will collaborate closely with our Autonomy development, evaluation infrastructure, and data science teams. Your responsibilities will include defining system-level behavior requirements in the presence of faults, developing metrics to identify requirement violations, creating innovative validation tools and pipelines for integration into our Safety Case and risk assessment frameworks, and contributing to risk quantification. Your work will significantly influence our immediate deployments and long-term autonomy feature roadmap, enhancing Nuro's operational fleet.Key ResponsibilitiesAnalyze the system-level implications of Nuro’s autonomy architecture and software to understand the interdependencies of failure modes and fault responses.Establish requirements for fault response, decomposing them through the autonomy software and hardware framework.Lead fault-centric validation from prototype through to production testing.Develop tools and data engineering frameworks to inject faults into the autonomy stack and interpret simulation, on-road, and closed-course testing results to evaluate mission capabilities and safety.Work with autonomy developers to identify high-impact metrics and performance indicators that assess our robots’ readiness to operate autonomously under degraded software states.Enhance tooling for automated evaluation of test logs to verify compliance with contingency requirements.About YouProven experience in software engineering with a focus on fault response verification.Strong analytical skills and the ability to work collaboratively in a fast-paced environment.Passion for autonomous systems and a commitment to safety and reliability.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo's mission focuses on creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. Our Waymo Driver powers a fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, we are transforming the transportation landscape across 15+ U.S. states.The DTS team is pivotal in shaping and developing the IT architecture that underpins the commercial operations of Waymo's autonomous fleet. By integrating finance, operations, and IT expertise, the team crafts innovative solutions that ensure Waymo maintains exceptional capabilities across all business processes.In this hybrid role, you will report to a Senior Manager, Supply Chain & GTM Systems.

Join LinkedIn as a Senior AI Engineering Manager in our Ads AI team, where you'll lead innovative projects that leverage artificial intelligence to enhance advertising solutions. Collaborate with cross-functional teams to drive the development of cutting-edge AI technologies that transform how businesses connect with their audiences. Your leadership will empower engineers to reach their fullest potential while fostering a culture of innovation and excellence.

At Commure, we are dedicated to transforming the healthcare landscape. Our mission is to simplify the healthcare experience, establishing a new benchmark for care delivery and patient interaction across the industry. Our innovative suite of AI solutions encompasses ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management, and more. These tools are crafted to empower providers and administrators, allowing them to concentrate on what truly matters: delivering exceptional care.The healthcare sector, valued at $4.5 trillion, incurs over $500 billion in administrative costs annually. Commure is positioned at the forefront of this transformation. We support over 500,000 clinicians across numerous care sites nationwide, facilitating transactions exceeding $10 billion and enabling over 100 million patient interactions. As we anticipate new product launches and expand into additional healthcare segments, our vision is clear: to evolve from a pioneering innovator to the standard bearer of the industry in the coming years.Commure has recently been recognized in Fortune’s Future 50 list for 2025 and is supported by leading investors such as General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, and Greenoaks Capital. With over 300% year-over-year growth for the past two years, we are just getting started. The moment for AI-driven transformation in healthcare is upon us, and we are building the technology that will lead the way. Join us in shaping the future of healthcare.Role OverviewBecome a part of Commure's Ambient AI team, where we are at the cutting edge of healthcare technology by developing Ambient AI solutions that enhance the entire care journey. We are seeking a skilled Fullstack Engineer to elevate our Ambient AI initiatives. If you thrive on addressing critical challenges in healthcare and enjoy rapid deployment of solutions, we want you on our team!Your ResponsibilitiesDevelop comprehensive products aimed at revolutionizing Ambient AI for healthcare providers and administratorsCollaborate within a dynamic team that values swift execution and decisivenessEngage with the full software stack to deliver robust solutionsUtilize a tech stack including Python, JavaScript, React, Flutter, Flask, and other modern frameworksInteract directly with customers to address their needs and challenges daily