Staff PCBA DFM and Manufacturing Engineer

Join Waymo, a leader in autonomous driving technology, as a Staff PCBA DFM and Manufacturing Engineer. In this key role, you will contribute to the design and manufacturing processes of our Printed Circuit Board Assemblies (PCBAs), ensuring that our products meet the highest standards of quality and efficiency.Your expertise will guide our engineering teams in the development of innovative manufacturing solutions, driving improvements in production processes, and collaborating closely with cross-functional teams to optimize product designs for manufacturability.

About Us:Aeva is at the forefront of revolutionizing perception technology across various domains including autonomous driving, industrial robotics, consumer electronics, health, security, and much more. Our innovative approach integrates essential LiDAR components onto a silicon photonics chip within a compact module, enabling our 4D LiDAR sensors to not only ascertain 3D positions but also detect instant velocity. This capability empowers autonomous systems, such as vehicles and robots, to make safer and more intelligent decisions. Role Overview:We are on the lookout for a highly skilled Senior Manager to lead our Photonics and PCBA Test Engineering team. In this pivotal role, you will oversee the design and implementation of advanced automated test stations utilized on Aeva’s manufacturing line, which encompasses silicon photonics and laser components, optical modules, and PCBAs. You will also spearhead the development of aligners critical to the production of Lidar optical modules. The ideal candidate should possess a robust background in optics/photonics and automation tailored for high-volume manufacturing environments.

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).

Matic Robots is looking for a Senior Manufacturing Design Engineer based in Mountain View, CA. This position shapes the design and manufacturing systems behind the company’s products, with a focus on quality and efficiency at every stage. Role overview This role centers on developing and refining manufacturing systems. The Senior Manufacturing Design Engineer works closely with teams to ensure that products meet high standards from initial design through to production. Key responsibilities Develop manufacturing systems that support new and existing products Optimize processes to improve efficiency and maintain quality Support product quality throughout the production lifecycle Location This role is based in Mountain View, CA.

At Reliable Robotics, we are pioneering innovative technology for aviation that enhances safety and saves lives. Our automated aviation systems are set to revolutionize air transportation, making it safer and more efficient for the movement of goods and eventually people around the globe. Our dedicated team of engineers, experienced in aerospace, robotics, and autonomous vehicles, is working tirelessly to turn this vision into a reality.As a Senior Mechanical Manufacturing Engineer, you will be integral in shaping and refining our manufacturing, installation, and supply chain processes to ensure they align with design, regulatory, and business requirements, including safety, quality, cost efficiency, and timely delivery. Join a dynamic and passionate team committed to delivering high-quality products and services promptly, providing undeniable value. In this role, you will design the build and installation processes for mechanical, electromechanical, and electrical/avionics products, conduct design for excellence (DFx) reviews, and establish the infrastructure necessary for business scalability. Your work will lay the groundwork for our operations for years to come, making this a remarkable opportunity to thrive in a safety-critical environment that transitions automated aviation systems from prototype to production.Key ResponsibilitiesOversee the building, installation, testing, diagnosis, inspection, and maintenance of Reliable-designed mechanical, electromechanical, and electrical/avionics assemblies, harnesses, interconnects, and other commercial-off-the-shelf (COTS) products.Conduct DFx reviews to assess designs for cost-efficiency, manufacturability, inspectability, consistency, adequacy, accuracy, and compliance with requirements.Collaborate with design, quality, and certification teams to integrate manufacturability, compliance, and risk mitigation throughout all stages of product development (including prototype, R&D, certification, and production).Develop and ensure adherence to policies, procedures, quality management systems, and engineering change orders.Create processes to maintain accurate, current, and comprehensive documentation (work instructions, inspections, tests, records, etc.).Lead root-cause analysis and implement effective corrective actions to uphold schedule, quality, and reliability standards.

Waymo is at the forefront of autonomous driving technology, aiming to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated its efforts to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. With the Waymo Driver, we power a fully autonomous ride-hail service and adapt our technology across various vehicle platforms and applications, having completed over ten million rides and traveled more than 100 million miles on public roads, along with extensive simulation miles across more than 15 U.S. states.Driven by a passion for design and innovation, Waymo’s Industrial Design Team is tasked with envisioning the future of mobility and autonomous technology. Our design professionals apply a cohesive design language to the Waymo Driver, ensuring an unparalleled customer experience and top-notch product quality.The Industrial Design Team crafts intelligent and elegant solutions that shape the future of transportation while prioritizing the safety and needs of our riders. Engaging in every phase of the engineering and product development process, we optimize our technology to enhance the rider’s experience. Our team is a unique blend of creative minds and innovators, paving the way for a groundbreaking industry.This position operates on a hybrid work schedule and reports to the Studio Engineering Manager.

Join Waymo as a Staff Equipment Engineer. In this critical role, you will lead the design, development, and optimization of advanced equipment and systems that power our autonomous vehicles. You will collaborate closely with cross-functional teams to ensure the successful integration of cutting-edge technologies.

Reliable Robotics focuses on advancing safety technologies for aviation, with the goal of improving air transportation for cargo and, eventually, passengers. The company brings together experts in aerospace, robotics, and autonomous systems to drive this mission forward. Role overview The Senior Harness Manufacturing Engineer (EWIS) will guide and refine the processes used to manufacture and install wire harnesses. This position is responsible for ensuring that supply chain and production activities align with design intent, regulatory requirements, and business priorities for safety, quality, cost, and delivery. What you will do Create and maintain documentation for building and installing wire harness assemblies Lead and contribute to Design for Excellence (DFx) reviews to improve manufacturability and reliability Develop infrastructure and procedures to enable business growth and scalability Collaborate with cross-functional teams to maintain safety and quality in a regulated setting Support the transition of automated aviation systems from prototype to full production Location This role is based in Mountain View, CA.

Waymo is seeking a Staff Software Engineer focused on DevAI to help advance artificial intelligence for autonomous vehicles. This position is based in Mountain View, CA. Role overview This role centers on designing and building AI solutions that support Waymo's self-driving technology. Collaboration with teams across engineering, product, and research will be a core part of daily work. The goal is to strengthen AI capabilities and improve system performance. What you will do Design and develop AI-driven features for autonomous vehicle systems Work closely with colleagues from different disciplines to integrate and refine AI models Contribute to the ongoing improvement of system performance and reliability Impact This position plays a key part in shaping how AI supports the future of transportation at Waymo.

Join Coupang as a Staff Machine Learning Engineer, where you will play a pivotal role in developing innovative machine learning solutions that drive business growth and enhance customer experience. You will collaborate with a talented team of engineers and data scientists to build scalable and efficient machine learning models.

At Intrinsic Robotics, part of Google's AI robotics division, we are dedicated to transforming the landscape of industrial automation. Our innovative team is passionate about leveraging advancements in AI and robotics to create intelligent systems that redefine industry standards.Our goal is to empower millions of businesses, entrepreneurs, and developers by making industrial robotics more intelligent and accessible. We are a diverse group of engineers, roboticists, and technologists committed to unlocking the economic potential of robotics in manufacturing.Role OverviewAs a Robotics Software Engineer focusing on Intelligent Manufacturing Automation, your role will involve close collaboration with our automation team and industry partners to enhance manufacturing processes. You will be responsible for developing and implementing end-to-end automation solutions tailored for electronic manufacturing environments.Key ResponsibilitiesDrive the technical development and integration of cutting-edge robotic automation solutions, utilizing the Intrinsic platform, ROS, and advanced AI technologies.Work closely with our automation team and industry stakeholders to ensure seamless integration of automation capabilities in production settings.Document designs, processes, and outcomes while effectively communicating with internal teams and external partners.

About UsAurora Innovation is dedicated to transforming the transportation landscape with safe and efficient self-driving technology.Discover the Aurora Driver which aims to revolutionize mobility and logistics, creating a safer and more accessible future for all.At Aurora, you will engage with complex challenges and collaborate with passionate, intelligent colleagues, enhancing your expertise in the field. For the latest updates, visit aurora.tech or connect with us on LinkedIn.Aurora seeks talented individuals from diverse backgrounds to join us in building a transportation ecosystem that enhances road safety, improves logistics efficiency, and increases accessibility for everyone. We are currently looking for a Staff NPI Test Engineer.The primary mission of this role is to bolster manufacturing through testing and automation, ensuring the production of Aurora’s hardware aligns with our commitment to delivering self-driving technology swiftly and safely. A successful candidate will be data-oriented, adept at resolving complex issues, possess a robust engineering background with both software and hardware skills, and be capable of leading cross-functional initiatives.Key Responsibilities:Provide support and troubleshoot software tools utilized in manufacturing tests and provisioning.Collaborate closely with manufacturing and engineering teams to refine and enhance automated manufacturing testing processes.Manage and analyze data to monitor production test performance metrics, identify critical issues, and drive continuous improvement efforts with cross-functional teams.Offer technical test support to local manufacturing areas, locations, and customers as required.

Intrinsic Robotics, part of Google, works to expand what industrial robots can do by applying AI, perception, and simulation. The team focuses on making robotics smarter, more accessible, and easier to use for businesses, entrepreneurs, and developers. Engineers, roboticists, designers, and technologists at Intrinsic aim to unlock new creative and economic potential in the field. Role Overview The Application Engineer - Intelligent Manufacturing Automation will join the automation team in Mountain View, California. This role centers on integrating and developing robotics solutions for manufacturing automation. The work covers process design, software features, and the application of advanced AI technologies. Collaboration with both internal teams and industry partners is a key part of deploying robotic systems in real production environments. Main Responsibilities Lead technical development and integration of advanced robotic automation solutions for manufacturing, using the Intrinsic platform, ROS, and modern AI technologies. Work directly with research and industry partners to combine AI and automation within factory environments. Document designs, processes, and results in detail to ensure clear communication with technical teams and partners.

Waymo is hiring a Senior Staff Engineer for the DevAI team in Mountain View, CA. This role centers on leading projects that apply advanced artificial intelligence to improve autonomous vehicle systems. What you will do Guide the design, development, and deployment of scalable AI solutions for autonomous vehicles Work closely with teams across disciplines to deliver impactful projects Mentor junior engineers and help build a strong, collaborative team culture What you bring Deep experience in machine learning, software engineering, and system architecture Ability to lead complex technical initiatives from concept through deployment Strong communication and collaboration skills This position offers the chance to shape the future of transportation by advancing AI-driven solutions within Waymo's autonomous vehicle platform.

P-188 At Databricks, we are on a mission to fundamentally transform the data lifecycle, simplifying processes from data ingestion to ETL, Business Intelligence (BI), and extending to Machine Learning (ML) and Artificial Intelligence (AI) through a unified platform. We envision a future where traditional data warehouse architectures are replaced by innovative solutions like the Lakehouse architecture (CIDR 2021 paper), which integrate data warehousing and advanced analytics, effectively addressing critical challenges such as data staleness, reliability, cost of ownership, data lock-in, and limited use-case support. To turn this vision into reality, we are developing a next-generation decoupled query engine and structured storage system designed to surpass specialized data warehouses in relational query performance while maintaining the versatility of general-purpose systems like Apache Spark™. This system is intended to support a wide array of workloads, from ETL processes to data science applications. As a member of our team, you will engage in one or more of the following areas, contributing to the design and implementation of cutting-edge systems that redefine industry standards: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security measures Resource management strategies Transaction coordination processes Efficient storage structures (encodings, indexes) Automatic physical data optimization techniques

Join rangeenergy as a Manufacturing and Industrialization Lead, where you will be pivotal in driving product development and process optimization. You will lead cross-functional teams, implement innovative manufacturing strategies, and enhance operational efficiency. Bring your expertise in industrial engineering and passion for sustainable solutions to our dynamic team.

About UsGatik is at the forefront of transforming autonomous middle-mile logistics, providing cutting-edge transportation-as-a-service (TaaS) solutions to streamline B2B supply chains. Our mission is to ensure safe and timely deliveries while alleviating congestion in freight movement. We proudly launched the world’s first fully driverless commercial transportation service with Walmart in 2021, utilizing our Class 3-7 autonomous trucks in key markets such as Texas, Arkansas, and Ontario, Canada.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to securely transport freight between pick-up and drop-off points across the middle mile, excelling in both highway and urban environments. This all-in-one solution integrates advanced software and hardware, seamlessly fitting into our customers’ logistics frameworks.Role OverviewWe are in search of a dedicated Safety Engineer to spearhead safety performance evaluations and implement data-driven assessments for our autonomous trucking systems. In this pivotal role, you will establish and track Safety Performance Indicators (SPIs) and Key Performance Indicators (KPIs), ensuring compliance with Gatik’s safety protocols and promoting ongoing safety enhancements from the vehicle level to fleet-wide implementations.This position requires a commitment to being onsite five days a week at our Mountain View, CA or Fort Worth, TX office.Key ResponsibilitiesEvaluate safety performance through real-world and simulated data analysis.Lead post-deployment safety assessments and develop risk mitigation strategies.

Join our innovative team as a Staff Software Engineer specializing in Android development. In this crucial role, you will collaborate with cross-functional teams to design, develop, and enhance cutting-edge mobile applications that impact millions of users globally. Your expertise in Android technologies will drive the success of our projects and contribute to our mission of connecting professionals.

Join Us in Mountain View, CA (Onsite)As a pivotal member of our core platform team at Moveworks, you will be instrumental in driving the advancement of our conversational AI platform. This is your chance to create enterprise-level products that address real-world challenges using our state-of-the-art machine learning capabilities. You'll be responsible for architecting foundational frameworks and services that abstract product requirements while providing scalable and reliable components. Additionally, you will help develop our enterprise data platform to support diverse product needs. Collaborating closely with product management, user experience, customer success, machine learning, and other engineering teams, you'll define and implement innovative solutions.Design and develop highly reliable, performant, and secure platform components.Shape the platform team roadmap and lead the evolution of various platform areas.Collaborate with engineering teams to deliver unified cross-functional solutions.Consistently meet deadlines while managing interdependencies with other engineering teams.Challenge existing norms and drive continuous improvement across the platform.Engage in regular peer code and engineering design reviews.

Join Anduril Industries as a Senior Electrical Engineer in our Manufacturing organization where you'll design and develop sophisticated systems and PCB assembly platforms for product testing. Your expertise in data acquisition and physical layer interfaces using FPGA, MCU, and commercial equipment will ensure our systems meet stringent testing standards, delivering the highest quality products to our customers. Collaborate within a multi-disciplinary design team to manage requirements, create custom circuits, and develop complex assemblies and harnesses. Work alongside firmware engineers to facilitate board support packages for embedded Linux and establish MCU RTOS platforms. In this dynamic role, you’ll leverage your creativity to devise innovative solutions to complex testing challenges, continuously enhancing our automation methods, throughput, user interfaces, and data analytics.