Staff Hardware Systems Architect

About UsAt Aurora, we are dedicated to advancing self-driving technology that enhances safety, efficiency, and accessibility across transportation and logistics.Discover The Aurora Driver and join us in shaping the future of mobility.Become part of a team that thrives on solving intricate challenges, collaborating with like-minded professionals, and growing your expertise. For the latest updates from Aurora, visit aurora.tech or follow us on LinkedIn.We are on the lookout for a talented Staff Hardware Systems Architect to join our Hardware Architecture team. In this pivotal role, you will be instrumental in shaping the future of self-driving vehicle architectures while supporting cutting-edge systems deployed in the field. This is a unique opportunity that offers complete ownership—from the architectural design phase through validation and deployment—allowing you to tackle highly complex integration challenges across multiple disciplines.

Join MatX in Pioneering AI Hardware MatX is at the forefront of designing cutting-edge hardware that accelerates the development of the world’s leading AI models. Our innovative hardware solutions promise to deliver a new level of intelligence 3-5 years ahead of traditional timelines. We are committed to crafting vertically integrated full-stack solutions that encompass everything from silicon to systems, including both hardware and software necessary for training and executing the largest AI models worldwide. We are on the lookout for a talented and seasoned System-on-Chip (SoC) Architect to spearhead the design of our next generation of AI-focused, server-class silicon.

Who We AreAt Aurora, our mission is to safely, swiftly, and broadly deliver the transformative benefits of self-driving technology.The Aurora Driver is poised to usher in a new era of mobility and logistics, ensuring a safer, more efficient, and accessible future for all.Join us at Aurora to tackle complex challenges alongside a team of passionate and intelligent individuals, enhancing your expertise while expanding your knowledge base. For the latest updates from Aurora, visit aurora.tech or follow us on LinkedIn.We are on the lookout for a Staff Hardware System Validation Engineer to join our dynamic team. This role is critical in validating our autonomous hardware systems, including PCBA, modules, and integrated systems from the initial design phase through to ongoing engineering and field issue resolution.In this role, you will:Define, develop, and execute innovative test methodologies for the verification and validation of autonomous hardware systems and components.Collaborate effectively with key cross-functional teams, including Hardware Systems, Safety, Testing, Firmware, and Electrical Engineering.Conduct thorough requirements analysis, architecture studies, and system characterization to derive precise performance metrics.Facilitate cross-functional reviews and build consensus on critical design validation decisions.Lead sustaining engineering initiatives, including root cause analysis and corrective actions for any identified issues.

About UsAurora Innovation is on a mission to revolutionize transportation through self-driving technology, ensuring safety and accessibility for everyone.Our innovative product, the Aurora Driver, is set to transform mobility and logistics, leading to a safer and more efficient future.Join us and tackle complex challenges alongside passionate experts in a collaborative environment. For the latest updates, visit aurora.tech or follow us on LinkedIn.Position OverviewWe are seeking a talented Senior Hardware Reliability Engineer to join our Hardware Reliability team. This pivotal role involves ensuring the reliability of our next-generation sensor systems, including Lidar, Camera, Radar, and IMU, vital for the Aurora Driver. You will collaborate with industry leaders such as Volvo and PACCAR to bring a robust, scalable product to market.

Role Overview Anduril Industries is hiring a Staff System Modeling Engineer for Warfighter Systems in Mountain View, California. This role centers on applying advanced modeling methods to improve military systems and support mission success. Work here shapes the effectiveness of defense solutions and has a direct impact on operational outcomes.

At Google DeepMind, we celebrate a diverse array of experiences, knowledge, and perspectives, leveraging these strengths to create a remarkable impact in the field of artificial intelligence. We are dedicated to providing equal employment opportunities irrespective of sex, race, religion, belief, ethnic or national origin, disability, age, citizenship, marital status, sexual orientation, gender identity, and any conditions related to pregnancy or breastfeeding, along with any other basis protected by law. If you require any accommodations due to a disability or other needs, please feel free to inform us.SnapshotJoin us at Google DeepMind, where we foster a unique work culture that encourages long-term visionary research. We are in search of a driven System on Chip (SoC) Architect to enhance our team and lead the development of pioneering silicon designs aimed at accelerating machine learning capabilities.About UsArtificial Intelligence stands as one of humanity's most transformative inventions. Our dedicated team at Google DeepMind comprises scientists, engineers, and machine learning specialists collaborating to push the boundaries of AI. We harness our technologies for public benefit and scientific exploration, working with partners to tackle essential challenges while prioritizing safety and ethical considerations.About YouWe are on the lookout for individuals who excel in navigating uncertainty and are eager to contribute to the advancement of silicon design and architecture. Your ability to devise innovative solutions and pivot when necessary is crucial in our dynamic environment.The RoleWe are searching for a talented and highly motivated SoC Architect to join our GenAI technical infrastructure research hardware team. In this pivotal role, you will define the overarching SoC architecture and chiplet strategy for our next-generation machine learning accelerators, drawing on your in-depth expertise in SoC design, chiplet integration, and hardware tailored for machine learning applications.

Reliable Robotics builds automated aviation systems aimed at making air transportation safer and more efficient. The team includes engineers from aerospace, robotics, and autonomous vehicle backgrounds, all working to advance aviation technology. Role overview The Senior Model-Based Systems Architect will design and develop the company’s internal digital engineering ecosystem. This role involves more than configuring existing tools: the architect will define the formal information schema that connects systems, software, and certification data throughout the organization. What you will do Design and implement a digital engineering framework to support automated aviation systems Create and maintain a unified information schema linking systems, software, and certification data Collaborate with engineering teams and internal tool developers to ensure integration and smooth data flow Establish a scalable, consistent single source of truth for engineering information Location This position is based in Mountain View, CA.

At Reliable Robotics, we are pioneering innovative safety-enhancing technologies for aviation that have the potential to save lives. Our automated aviation systems aim to create a future where air transportation is not only safer but also more convenient and transformative in how goods — and eventually people — are transported across the globe. Our dedicated team of engineers, with diverse expertise in aerospace, robotics, and self-driving vehicles, is committed to turning this vision into reality.As a Systems Architect, you will join our Systems team, reporting directly to the Systems & Safety Manager. This team is tasked with designing systems that underpin novel safety-critical functions, developing methodologies for emerging technologies, and ensuring compliance with federal regulations.You will work as part of a seasoned multi-disciplinary team, contributing to the enhancement of aircraft operational and functional capabilities. Your background in system design and development will empower our team to meet the rigorous demands of stakeholders and certification authorities. Collaboration will be key as you work alongside colleagues from various departments at Reliable Robotics to develop innovative systems crucial for unmanned aircraft operations.

Join Waymo as a Principal Software Engineer, ML System Architect, where you'll leverage your expertise in machine learning to architect innovative software solutions. As a core member of our engineering team, you will be instrumental in shaping the future of autonomous driving technology.

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).

About Contextual AIAt Contextual AI, we are at the forefront of transforming how AI agents operate by addressing one of the most significant challenges in the field: context. By providing the right context at the right moment, we enable enterprises to achieve the accuracy and scalability required for effective AI deployment. Our innovative enterprise AI development platform bridges cutting-edge AI research with the practical needs of developers, allowing them to seamlessly ingest, query, and integrate data from various enterprise sources into their workflows.Founded by the pioneers of Retrieval-Augmented Generation (RAG), our technology forms the backbone of the context layer that connects foundational AI models with relevant real-time information. Supported by visionary venture capital, we are not merely participating in the enterprise AI revolution; we are leading it. Join us as we create a future in which AI not only answers queries but also revolutionizes business operations.About the RoleAs a Member of Technical Staff focused on LLM Systems & Performance, you will join a dedicated and impactful team responsible for building and optimizing LLM systems from end-to-end. Your work will range from developing Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) pipelines to creating high-throughput inference clusters for production environments. You will collaborate with both researchers and engineers to design advanced models and the supporting infrastructure for our context layer.What You'll DoEnhance and optimize components of our SFT and RL training pipelines (e.g., Verl, SkyRL), focusing on areas such as data loading, training loops, logging, and evaluation.Contribute to the development of LLM inference infrastructure (e.g., vLLM, SGLang), including optimizations for batching, KV-cache management, scheduling, and serving.Utilize profiling tools like Nsight to analyze and improve end-to-end performance metrics (throughput, latency, compute/memory/bandwidth) by identifying and resolving bottlenecks.Engage with distributed training and inference systems using technologies such as NCCL, NVLink, and various parallelism strategies on multi-GPU clusters.Assist in experimenting with and implementing quantization techniques (e.g., INT8, FP8, FP4, mixed-precision) for both training and inference.Write and optimize GPU kernels utilizing CUDA or Triton, employing techniques such as FlashAttention and Tensor Cores as appropriate.Collaborate with researchers to advance ideas from concept to prototype, through scaled experiments, and into production.

Who We AreGatik is at the forefront of transforming middle-mile logistics through our cutting-edge autonomous transportation-as-a-service (ATaaS) solution. Our focus is on delivering safe and consistent services while enhancing freight movement efficiency and alleviating congestion. In 2021, we made history by launching the world's first fully driverless commercial transportation service in partnership with Walmart, with our Class 3-7 autonomous trucks actively operating in key markets like Texas, Arkansas, and Ontario, Canada.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously engineered to facilitate safe and efficient freight transportation between pick-up and drop-off points. With robust capabilities tailored for both highway and urban settings, Gatik Carrier™ represents a comprehensive solution that seamlessly integrates advanced software and hardware to optimize logistics operations for our clients.About the RoleWe are seeking a Senior/Staff Systems Engineer to lead the Verification and Validation processes for Gatik’s autonomous vehicle systems. This position is primarily located at our headquarters in Mountain View, CA, with additional opportunities available in Fort Worth, TX.What You Will DoEstablish and implement model-based system engineering (MBSE) practices and methodologies for effective requirements management, ensuring clear communication of functional and performance requirements across stakeholders and system levels.Provide advanced systems expertise in integrating architectural changes and component revisions, ensuring optimal performance and efficiency in autonomous vehicle operations.

Join our innovative team at ServiceNow as a Senior Staff Software Engineer specializing in Agentic AI Systems. In this critical role, you will lead the design, development, and implementation of cutting-edge AI solutions that enhance our customer experience and drive operational efficiency. You will work collaboratively with cross-functional teams to create scalable and robust systems that utilize advanced machine learning techniques.

Join our team as a proactive and detail-oriented Hardware Test Engineer, responsible for supporting the manufacturing and testing of cutting-edge products. In this hands-on role, you will be involved in the setup, testing, and troubleshooting of hardware components, extending to the subsystem level. This position requires robust electronics knowledge and the flexibility to work in various settings, including labs, testing facilities, and field locations.

The RoleAre you a talented software engineer eager to leverage your extensive experience in developing and enhancing production systems at the forefront of AI technology? If so, we invite you to consider our Staff Software Engineer position on the Natural Language Understanding team within our 'agent lab'. In this pivotal role, you will contribute significantly to our mission of extending the capabilities of AI agents to execute tasks reliably on a large scale.As part of the Moveworks AI Assistant platform, you will lead the innovation in areas such as agent orchestration, sandboxed file systems, latency optimization, agent memory, and the advancement of LLMs (Large Language Models). Our team thrives on rapidly developing scalable infrastructure and tackling complex product and engineering challenges to maximize value for our customers. If you aspire to achieve the pinnacle of your career while working with a passionate and impactful team, we would love to connect with you.What You Will Do:Lead and tackle challenging engineering projects to create and enhance dependable AI agent systems.Define and implement cutting-edge distributed systems, ensuring their scalability and production readiness, while integrating the latest advancements in machine learning and AI.Set technical direction and influence the engineering roadmap to deliver enduring value to our clients.Establish high standards for code quality, including robustness, extensibility, and performance.Collaborate with senior experts across various domains, including machine learning, security, product development, and customer success, to build world-class enterprise AI solutions.Mentor and develop team engineers, focusing on technical design, execution, and excellence.Work closely with machine learning engineers to define and develop end-to-end architecture for outstanding AI systems.

Join Our Mission!At Matic Robotics, we are committed to transforming the way households manage their time. Our innovative robotic solutions aim to reclaim the 2.5 trillion hours spent on mundane chores each year.Our flagship product, Matic, is an advanced floor cleaning robot, equipped with state-of-the-art technology that enables it to navigate homes autonomously through real-time 3D mapping and sophisticated semantic comprehension. Utilizing cutting-edge spatial AI, Matic operates effectively in diverse home environments using only RGB cameras and on-device neural networks.Privacy-Centric DesignWe prioritize user privacy by ensuring that all data processing occurs locally on the robot, safeguarding your household information.A Vision for the FutureWe believe in a gradual evolution of home robotics, starting with specialized robots and expanding towards more complex multi-functional capabilities over time.Our Team CultureMatic Robotics fosters a collaborative environment where dedicated individuals come together to create beloved products. We are passionate problem solvers, driven to save our customers time and energy.Position OverviewWe are seeking a motivated Hardware Technician to enhance our hardware design and engineering team in Mountain View, CA. This hands-on role provides a unique opportunity to engage with both mechanical and electrical components of our robots.Key Responsibilities:Strategically organize and prioritize tasks across multiple teams to propel the progression of our robotic systems.Operate and maintain rapid prototyping tools such as 3D printers and laser cutters.Develop and assemble production fixtures for robot testing and assembly.Conduct validation testing on new hardware components.Perform root cause analysis to address customer challenges effectively.Take initiative on design projects that streamline workflows for your team.Gain a deep understanding of the rationale behind hardware design choices and components.Document and communicate test results and data efficiently.

Join matx as a Technical Hardware & Semiconductor Recruiter, where you will play a crucial role in identifying and attracting top talent in the semiconductor industry. You will collaborate with hiring managers to understand their staffing needs and develop innovative recruitment strategies. Your expertise will ensure that we bring in the best candidates to drive our projects forward.This position offers a fantastic opportunity to work in a dynamic environment where you can make a real impact on our team and the industry as a whole.

Waymo LLC develops autonomous driving technology, building on its origins as the Google Self-Driving Car Project. The Waymo Driver, at the core of its ride-hailing service, has completed over ten million rides and driven more than 100 million miles on public roads, plus tens of billions of miles in simulation across 15+ U.S. states. The Hardware Engineering team brings together electrical, mechanical, reliability, software, and vehicle engineers. This group designs and integrates the sensors and systems that enable Waymo's autonomous vehicles. The team values curiosity, technical skill, and collaboration. This LiDAR Performance Validation Hardware Engineer role is based in Mountain View, CA, with a hybrid schedule (at least 3 days per week in office). The position reports to the LiDAR performance lead. What You'll Do Work with electrical, mechanical, manufacturing, and reliability engineers to develop and characterize high-performance LiDAR systems and electro-optical subsystems. Develop bench characterization methods and physics-based software models to confirm designs meet performance goals. Create and maintain validation plans that follow the design lifecycle from prototype to mass production. Define and support testing and calibration procedures to ensure LiDAR data quality at scale. Collaborate with design and test teams to set up testing methodologies and performance acceptance criteria. Design and carry out LiDAR field measurements and structured tests. Assess how environmental conditions impact LiDAR performance, and create strategies to detect and resolve quality issues using experimental design, data mining, and analysis. Work closely with LiDAR software, perception software, and systems engineers to resolve field data quality issues and help define requirements that ensure the LiDAR module meets system-level performance and safety standards. Move between physics modeling, simulation, large-scale data analysis, and hands-on prototyping as needed.

At Logos Space, we are transforming the satellite communication landscape with our Low Earth Orbit (LEO) satellite system, specifically designed to meet the connectivity demands of both commercial enterprises and government entities. Our mission is to bridge a vital gap in the market by offering resilient, high-performance satellite-based connectivity solutions that cater to customers worldwide. We ensure that our business clients receive the performance standards they expect for their broadband services, as we build these capabilities into our system from the ground up. Our focus on speed and reliability ensures seamless cloud and data center connectivity across the globe, serving fixed, maritime, and aerial terminals.Led by a team of highly skilled engineers with extensive experience in the networking and satellite sectors, Logos Space is committed to innovation and excellence.Position Summary & ResponsibilitiesJoin our Mechanical Engineering team at Logos Space, where you will play a crucial role in the design, development, flight validation, assembly, integration, testing, and operational success of our spacecraft fleet. Our team is also responsible for developing the necessary facilities and ground support equipment. You will support both bus and payload activities throughout the entire process, from conceptualization to flight readiness.We are looking for passionate engineers who thrive in a dynamic environment and excel at transforming conceptual designs into tangible hardware ready for testing and flight. If you love tackling challenging problems, we want you on our team!Key Responsibilities:Analysis & Modeling:Utilize industry-standard software (e.g., Ansys Thermal Desktop, NX Space Systems Thermal, FEMAP/NASTRAN) to develop detailed thermal models of spacecraft components and systems.Conduct thorough thermal analyses (steady-state, transient, worst-case) considering various orbital environments and operational conditions.Refine analytical predictions by correlating thermal models with test data.Hardware Design & Implementation:Design and specify passive thermal control hardware (e.g., MLI, radiators, heat pipes).Design and specify active thermal control components (e.g., heaters, thermostats, sensors).Oversee the procurement, manufacturing, and integration of thermal control hardware.

At Reliable Robotics, we are pioneering innovative technology that enhances safety in aviation, ultimately saving lives. Our vision encompasses automated aviation systems that will redefine air transportation, making it safer, more convenient, and transformative for the movement of goods and people globally. Our dedicated team is composed of engineers with extensive experience in aerospace, robotics, and self-driving vehicles, all working tirelessly to bring this future to fruition.As part of our dynamic Avionics Hardware team, you will join a close-knit group of passionate engineers who are responsible for creating the essential computing, actuation, sensing, and power electronics integral to our automation systems. We take pride in overseeing the entire lifecycle of our hardware, from conception to testing and deployment. In the role of Senior Avionics Hardware Engineer, you will spearhead the development of electrical components and subsystems for our airborne and testing platforms, working from the circuit board level to integrated systems.