Engineering Manager - Autonomous Systems

Join Araic, a leading innovator in autonomous systems, as we seek an Engineering Manager to drive our cutting-edge technology development. In this pivotal role, you will lead a dynamic team of engineers and collaborate on groundbreaking projects that redefine the future of automation. Your leadership will guide the design, implementation, and enhancement of …

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, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce the number of lives lost to traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service, capable of being integrated into various vehicle platforms and applications. With over ten million rider-only trips completed and backed by the experience of driving autonomously for over 100 million miles on public roads and tens of billions in simulations across more than 15 U.S. states, we are at the forefront of revolutionizing transportation.Our Hardware Engineering team is a dynamic and collaborative group of electrical, mechanical, reliability, software, and vehicle engineers. We are responsible for designing, constructing, and refining the products that serve as the sensory systems for Waymo's autonomous driving technology, seamlessly integrating these systems into vehicle platforms. We invite enthusiastic and skilled individuals to join our mission and help steer us in the right direction.In this hybrid role, you will report to a Staff Software Engineer.

Innovate and Create: Join us in implementing groundbreaking ideas and introducing cutting-edge features to the market.Shape the Future: Engage in diverse video security projects, focusing on Linux systems across various platforms, including ARM and specialized Video SoCs (System on Chip).Collaborative Environment: Work alongside talented developers from around the globe and become part of an international community.

Join the innovative ASUS Robotics & AI Center as an Embedded Systems Integration Engineer within our global research and development team. This pivotal position plays a crucial role in ensuring the performance and reliability of our cutting-edge autonomous mobile robotics platforms, which include sensor fusion, motion control configuration, and the internal tooling that keeps our systems running effectively.We are on the lookout for a proactive engineer who possesses extensive experience in embedded systems, a solid understanding of hardware communication protocols, and a systematic approach to diagnosing and resolving complex system failures. The ideal candidate excels at the intersection of hardware and software, providing both technical expertise and a forward-thinking problem-solving attitude in a dynamic, multidisciplinary environment.Oversee firmware configuration to maximize the effectiveness of onboard sensors across various operational environments.Adjust and refine motion control parameters (PID loops) and state estimation filters (EKF) to guarantee motion stability and precision.Conduct thorough investigations into critical system failures, analyzing logs to identify root causes and propose effective solutions.Design and troubleshoot communication links between embedded controllers and peripherals across protocols such as UART, Ethernet, I2C, and SPI.Create and maintain internal command-line interface (CLI) tools (Python/Bash) for system configuration and debugging.Establish and uphold CI/CD pipelines for automated testing of embedded systems.Collaborate with cross-functional teams to support the complete development lifecycle of autonomous robotics platforms.

About VerdigrisAt Verdigris, we are dedicated to enhancing human life through innovative energy intelligence solutions. Our mission is to empower AI data centers and critical infrastructure with real-time power data analytics, enabling them to operate more efficiently and reliably. By transforming raw data into actionable insights, we assist operators in identifying issues earlier, minimizing unexpected outages, and safely maximizing operational capacity.We believe extraordinary outcomes stem from exceptional teams. We foster a culture of collaboration, ownership, and continuous development as we work towards building a resilient and sustainable infrastructure for the future.About the Edge TeamThe Edge Team is responsible for the development and maintenance of the hardware and firmware that drive Verdigris sensors in the field. Our team collaborates closely with vendors, hardware and cloud engineers, and customer support to ensure the delivery of reliable and maintainable devices throughout production and deployment. We focus on modern embedded practices and AI-assisted workflows to expedite the delivery of high-quality systems while ensuring the ongoing health of our fleet.As a Senior Embedded Systems Engineer at Verdigris, you will work with IoT-connected sensors and energy data to help our customers enhance efficiency and reduce waste. You will play a key role in expanding the functionality of our measurement devices and fortifying the platform that converts on-site signals into actionable insights. Join us in developing technology that contributes to a more sustainable built environment.The Edge Team values engineers who are system thinkers, design for failure, and take pride in creating scalable platforms that operate seamlessly.About the RoleWe are seeking a Senior Embedded Systems Engineer to take on the role of technical owner and architect of Verdigris’ edge platform. You will be responsible for ensuring long-term system integrity, fleet reliability, and the advancement of our hardware and firmware products from initial development through large-scale deployment. With a strong growth mindset, you embrace challenges and feedback, actively seeking opportunities for learning and improvement. You possess a strategic and architectural perspective paired with strong practical skills to turn ambitious concepts into robust, deployable firmware and systems. You are adept at making architectural decisions with long-term implications, balancing immediate delivery with the health of the platform over the years, and taking ownership of outcomes in the field.In this role, you will:• Take ownership of the complete embedded platform architecture, from kernel and driver design to system services, update mechanisms, and cloud-facing interfaces, ensuring long-term stability, backward compatibility, and fleet-scale reliability.

Join our dynamic team at Canonical as a Linux Software Engineer dedicated to the development of innovative low-level system technologies for autonomous devices. In this role, you will work on cutting-edge software solutions, optimizing performance for memory, battery, and connectivity-constrained environments on various silicon architectures including x86, ARM, and RISC-V. As a part of Canonical, you will contribute to Ubuntu, the premier Linux distribution for developers and enterprises, enhancing its application across a wide range of smart, connected devices. You will collaborate with top silicon manufacturers and OEMs to ensure seamless integration and optimal performance of Ubuntu on their hardware, while also working on Ubuntu Core, a containerized version of Ubuntu designed for precision and security in appliance environments. We seek passionate engineers who thrive on challenges and are eager to lead in the open-source community.

Canonical, a leader in open-source technology, is seeking a Senior Ubuntu Embedded IoT System Engineer to enhance the user experience of Ubuntu on a variety of partner hardware, including Robotics, Automotive, Medical devices, and more. As part of our OEM Delivery Team in Taipei, you'll collaborate with top-tier silicon companies and OEMs to optimize Ubuntu for the latest technologies. Your expertise in Linux and hardware will be critical in delivering innovative solutions to millions of users while working in a dynamic environment that values problem-solving and time management skills.

Collaborative Role with ImpactJoin our rapidly growing team at Arista Networks as an Advisory Systems Engineer, where you will play a crucial role in supporting our Account teams with pre-sales technical systems engineering for our diverse clientele in Taiwan. We are seeking talented individuals who are based in Taiwan for this key position.Key ResponsibilitiesCollaborate closely with Arista Account Managers to identify customer challenges and provide solutions through whiteboard network architectural reviews. You will also conduct engaging presentations on Arista's innovative Open Networking Data Center, Cognitive Campus (including WiFi), and SD-WAN solutions (preferably VeloCloud).Design and propose robust Arista Data Center, Campus network, and SD-WAN solutions, utilizing advanced leaf-spine architectures (VxLAN, EVPN) and network overlays to drive sales growth.Engage in hands-on testing to validate proof-of-concept setups and network deployments, ensuring seamless integration of new products and features.Develop design guidelines and recommend enhancements to improve customer networks.Work alongside the Sales Team to effectively respond to RFPs and RFQs.Provide actionable feedback to Product Management and Engineering teams.Represent Arista at key industry events and conferences focused on SDN and Open Networking.Stay informed on competitive solutions, products, and services.Contribute to the body of knowledge by authoring insightful white papers on relevant technologies and products.

Canonical is at the forefront of open-source innovation, delivering powerful software solutions to enterprises globally. We are seeking a dynamic Project Manager to spearhead our Ubuntu Embedded Systems initiatives. In this role, you'll manage intricate, customer-facing projects across diverse devices, including robotics, IoT, automotive systems, and more. Collaborate closely with engineering teams and stakeholders to ensure seamless delivery of Ubuntu images, fostering strong relationships with partners, vendors, and internal teams. This office-based role in Taipei, Taiwan, offers the opportunity to drive impactful projects in a rapidly evolving tech landscape.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while preventing countless traffic-related fatalities. With over ten million rider-only trips and extensive experience driving over 100 million miles on public roads, the Waymo Driver exemplifies our commitment to safety and innovation.Our Hardware Engineering team is a dynamic and collaborative group comprising electrical, mechanical, reliability, software, and vehicle engineers. We design, construct, and refine the essential products that serve as the sensory systems for Waymo's autonomous driving technology, integrating them seamlessly into various vehicle platforms. We are on the lookout for inquisitive and skilled individuals to join us in our mission to advance mobility technology.This position follows an on-site work schedule and reports directly to the Hardware Engineering Manager.

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 is committed to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service, showcasing its capabilities across various vehicle platforms and applications. With over ten million rider-only trips and the experience of driving autonomously over 100 million miles on public roads, including extensive simulation in more than 15 U.S. states, we are leading the charge in the realm of self-driving technology.Our Hardware Engineering team is a vibrant, innovative, and collaborative group comprising electrical, mechanical, reliability, software, and vehicle engineers. Together, we develop the essential components that serve as the eyes and ears of Waymo's autonomous driving systems and integrate these technologies into diverse vehicle platforms.In this dynamic hybrid role, you will report directly to an Engineering Manager.

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, we have developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility and save countless lives lost to traffic accidents. Our technology powers a fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. The Waymo Driver has successfully completed over ten million rider-only trips, backed by more than 100 million miles driven autonomously on public roads and tens of billions of miles in simulation across 15+ U.S. states.Key Responsibilities:Act as the primary supply chain liaison for process and quality enhancement at supplier sites, evaluating technical data, formulating recommendations, and resolving technical challenges.Oversee OK2X (OK2Tool, OK2Build, OK2Ship) deliverables during new product introductions, providing on-site assistance to ensure supplier manufacturing and quality processes are ready for each production build.Identify necessary supplier equipment, fixtures, and tooling, and lead the implementation schedules to qualify and optimize manufacturing processes.Conduct audits of production to confirm adherence to Design for Manufacturing (DFM) and Quality Control Plan (QCP) standards.Collaborate with Global Supply Managers (GSMs) to evaluate supplier readiness for production events, identifying potential execution challenges and recommending risk mitigation strategies.Establish and execute the Incoming Quality Control (IQC) plan for Final Assembly Testing and Packaging (FATP) partners, ensuring systematic resolution of component quality issues.

Waymo is a pioneering company in the realm of autonomous driving technology, striving to become the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo's focus has been on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and prevent the thousands of lives lost in traffic accidents. The Waymo Driver not only fuels Waymo’s fully autonomous ride-hail service but is also adaptable to various vehicle platforms and applications. With over ten million rider-only trips enabled by the autonomy of driving more than 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states, we are committed to safety and innovation.As part of Waymo's Compute Team, you will play a crucial role in delivering the compute platform that powers the software stack of our fully autonomous vehicles. Our mission involves architecting and creating high-performance custom silicon, developing system-level compute architectures that maximize performance, power efficiency, and reduce latency, while closely collaborating with cross-functional teams to ensure optimal hardware and software integration.This position follows a hybrid work schedule and reports to a Silicon Engineering Lead.Key Responsibilities:Work collaboratively with Design, Verification, and Software teams to simulate upcoming silicon designs and software on an emulation platform, ensuring both functional and performance validation, while accelerating software development.Design, implement, and refine emulation testbenches, optimizing for performance and debugging capabilities in alignment with user requirements and hardware limitations.Develop end-to-end synthesizable transactors for engaging with emulated designs via software APIs and C-DPI.Identify, analyze, and resolve issues in collaboration with emulation users, utilizing waveform analysis, software logging, and custom-built emulation monitors.Support post-silicon bring-up, debugging, and characterization efforts.Establish infrastructure to facilitate the emulation user base, including tools for model building, regression testing, automation, continuous integration, data analytics, and training.

We are seeking a talented Software Engineer specializing in Machine Learning Performance to join our innovative team at Waymo. In this role, you will contribute to enhancing the efficiency and effectiveness of our machine learning algorithms, ensuring optimal performance in real-world applications. This is an exciting opportunity to work at the forefront of technology and make a significant impact in the field of autonomous driving.

Join Waymo as a Software Engineer focused on Machine Learning Tooling, where you'll be instrumental in developing cutting-edge tools and technologies that enhance our machine learning processes. Collaborate with a talented team of engineers and researchers to build innovative solutions that drive the future of autonomous vehicles.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Established as the Google Self-Driving Car Project in 2009, Waymo has been on a mission to create the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service and can be integrated across various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving autonomously for more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states, Waymo is leading the charge in this transformative industry.This position follows a hybrid work schedule and reports to the Tech Lead Manager of the Compute team.Your responsibilities will include:Designing and implementing complete stack solutions, including firmware, low-level drivers, and APIs for machine learning accelerator chips.Analyzing and optimizing firmware and driver performance for challenging AI workloads.Collaborating closely with hardware engineers throughout the ASIC design and verification phases.Creating efficient memory management solutions, including NUMA and IOMMU.

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, our focus has been on developing the Waymo Driver—the world's most experienced driver™—to enhance mobility access and save countless lives currently lost to traffic incidents. Our technology powers Waymo's fully autonomous ride-hail service and is adaptable for various vehicle platforms and applications. With over ten million rider-only trips completed, our Waymo Driver has autonomously navigated more than 100 million miles on public roads and executed simulations across 15+ U.S. states, resulting in tens of billions of simulated miles.Our Supply Chain and Manufacturing teams are pivotal in transforming future technologies into reality. We oversee all production processes and supplier development strategies, encompassing contracts, purchasing, design enhancements for manufacturing, quality control, and timely delivery. Our collaboration with Waymo's engineering teams and external suppliers ensures that products meet specifications and are delivered punctually to satisfy our growing business demands.

Join Axiado as an Operations Engineering Manager and play a crucial role in enhancing our operational efficiency and engineering processes. You will lead a dynamic team, driving innovation and ensuring the highest quality standards are maintained across projects. If you are a strategic thinker with a passion for technology and operational excellence, we want to hear from you!

About Overview.aiOverview.ai is revolutionizing the landscape of manufacturing quality assurance through an innovative edge-enabled AI vision system. Our technology harnesses sophisticated deep learning algorithms, ensuring a user-friendly experience and swift implementation. Our system adeptly manages a diverse range of inspection responsibilities—from meticulous assembly verification to defect identification and orientation checks—providing real-time, high-precision inspections that effortlessly integrate into existing production workflows.Endorsed by industry leaders such as Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our camera solutions facilitate accelerated throughput, minimized waste, and reduced inspection expenditures—eliminating the intricacies and high costs associated with conventional vision systems.About the RoleWe are on the lookout for a Senior Software Development Engineer in Test to assume technical ownership of the quality architecture across our physical AI vision platforms. This pivotal role is primarily focused on our NVIDIA Jetson-based edge AI cameras, localized inference engines, and low-latency video processing pipelines.In this capacity, you will be responsible for designing, constructing, and maintaining intricate automated testing frameworks that guarantee the reliability, performance, and precision of our mission-critical hardware and embedded software. This highly autonomous and hands-on role places you at the nexus of hardware, embedded Linux, Dockerized edge applications, and AIoT architectures. You will define and implement the comprehensive programmatic quality strategy for complex devices deployed in demanding, real-world manufacturing settings.What You’ll DoAutomated End-to-End Testing: Create and execute fully programmatic E2E test flows that replicate real-world manufacturing inputs (e.g., synthetic video streams), initiate local NVIDIA Jetson inference, and validate web application functionality with physical or network outputs within a controlled environment.Edge Automation Architecture: Design and develop robust automated testing frameworks from the ground up using Python, specifically focusing on embedded Linux systems and edge AI devices.Web Application & API Testing: Develop and sustain automated UI and API test suites for the web applications and local interfaces employed by customers to configure, monitor, and engage with our vision systems.Hardware-in-the-Loop (HIL) Testing: Construct and expand HIL testing infrastructure to replicate factory environments, rigorously stress-testing physical camera systems.

We are seeking an experienced Application Engineering Manager for our Microcontroller Unit (MCU) division. In this pivotal role, you will lead a dynamic team of engineers, driving innovative solutions and enhancing customer satisfaction. You will collaborate closely with cross-functional teams to ensure the successful execution of projects while maintaining high-quality standards.