Robotics Systems Engineer

Be a Pioneer in Home RoboticsAt Sunday, we are at the forefront of developing personal robots designed to liberate individuals from the burden of monotonous chores. Our ambitious mission is to make versatile robots widely available, empowering households to reclaim precious moments.After dedicating the last 18 months to assembling a skilled team, securing fu…

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.

Reliable Robotics develops automated aviation systems aimed at making air transportation safer and more efficient. The team combines experience in aerospace, robotics, and autonomous vehicles to advance how people and goods travel. Role overview The Senior Production Systems Engineer joins the Production team in Mountain View, CA. This group delivers high-quality products and services, supporting the company’s mission to move automated aviation systems from concept to production. The position provides technical leadership and shapes strategy for production capabilities, business systems, and factory infrastructure. What you will do Design and manage production systems that support manufacturing processes, quality standards, and regulatory compliance. Plan, develop, and lead the rollout of new features and modules in partnership with SaaS vendors and internal teams. Conduct trade studies to inform decisions about business systems and infrastructure. Set up, automate, and monitor key performance indicators (KPIs) to drive improvements in design, product, and process. Key focus areas Oversee integration and performance of Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP), and Material Requirements Planning (MRP) tools. Lead enhancements using AI, develop and refine production processes, and install factory infrastructure such as printers and inspection equipment. Create real-time analytics tools to support operations in a safety-critical environment.

Unity Technologies is building an offline machine learning platform to support analytics, experimentation, attribution, and AI-driven decisions across the organization. This platform processes both batch and streaming data at scale, serving as the backbone for product intelligence, machine learning pipelines, and business operations. As data sets grow in size and complexity, the platform enables advanced model training, feature generation, and experimentation workflows that are critical for production ML systems. What you will do Design and enhance Unity's offline machine learning infrastructure to support large-scale needs Develop reliable systems for generating training datasets and managing machine learning workflows Support efficient, distributed model training across teams Collaborate with machine learning engineers and platform teams to ensure pipelines scale with data growth and evolving training requirements Shape processes for dataset preparation, model training, validation, and delivery to distributed systems Maintain high standards for reliability, scalability, and performance of the offline ML platform Requirements This role requires a senior technical leader with experience in large-scale machine learning infrastructure. A successful candidate has a strong background in building and maintaining reliable, scalable, and well-architected ML pipelines. Location This position is based in Mountain View, CA, USA.

(P-1286) At Databricks, we are dedicated to empowering data teams to tackle the most challenging problems in the world, from realizing the next mode of transportation to accelerating medical breakthroughs. We achieve this by creating and operating the world's leading data and AI infrastructure platform, enabling our customers to leverage deep data insights to enhance their business performance. The Networking Infrastructure forms a critical component of our platform, supporting all our data and AI products. It also underpins essential enterprise security features that customers utilize across our offerings to establish connectivity solutions to cloud resources and prevent data exfiltration. We are on the lookout for seasoned Senior Software Engineers with extensive experience in large-scale distributed systems to join our Networking Infrastructure team. In this role, you will design and automate the networking foundations for expansive compute clusters across all major cloud providers, link millions of virtual machines operating on Databricks, and lead the development of secure and scalable connectivity that drives all data and AI workloads. Collaborating closely with cross-functional teams, including product management, operations, and other engineering teams, you will ensure the delivery of robust, scalable, and efficient networking systems. This is an outstanding opportunity for a hands-on leader who thrives in a dynamic environment and is eager to tackle innovative multicloud and distributed systems challenges.

Be a Part of Shaping the Future of Home RoboticsAt Sunday, we are at the forefront of developing innovative personal robots designed to liberate individuals from mundane tasks. Our mission is ambitious: to democratize access to versatile robots, allowing families to reclaim precious time for what truly matters.After 18 months of dedicated efforts in building a talented team, securing investment, and validating our technology, we are now on the lookout for passionate professionals to join us in this exciting growth phase. If you are eager to leverage your expertise in robotics innovation, we want to connect with you.Role OverviewData is the core of our operations. As a Full Stack Engineer specializing in Data Operations, you will contribute to enhancing our platform that manages the data pipeline. This includes tracking thousands of memory developers worldwide and creating high-fidelity tools for auditing, filtering, and qualifying hundreds of hours of data daily.Key ResponsibilitiesMemory Developer Systems: Collaborate with the Data Operations team to build an internal platform that oversees thousands of remote memory developers, ensuring a consistent and high-quality data stream through performance tracking and hardware health monitoring.The Audit Lab: Design and implement high-performance React interfaces for replaying and validating human motion data, enabling our team to curate top-tier datasets from numerous uploads.Data Ingestion & Orchestration: Architect robust backend services capable of processing large volumes of data, ensuring readiness for auditing.Startup Agility: While your primary focus will be on Data Operations, our dynamic environment may require you to adapt to shifting priorities and engage with various aspects of the tech stack as we expand.

As a Senior Staff Software Engineer specializing in Compute Infrastructure, you'll play a pivotal role in designing, building, and optimizing our cloud infrastructure systems. Your expertise will help drive performance and scalability, ensuring our platforms support the ever-increasing demand for data processing and storage. You will work collaboratively with cross-functional teams to develop innovative solutions that enhance our technology stack.

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.

At Reliable Robotics, we are pioneering innovative safety technologies for the aviation sector, with a mission to save lives. Our automated aviation systems promise a future where air travel is not only safer but also more efficient, fundamentally changing the way goods and eventually people are transported globally. Our diverse team of dedicated engineers, experienced in aerospace, robotics, and autonomous vehicles, is committed to turning this vision into reality.As part of our Flight Software division, you will be at the forefront of Reliable’s autonomy initiatives, developing critical embedded flight software, advancing next-generation detect-and-avoid technologies, communication systems, FPGA designs, and robust simulation and testing environments. Our team plays an integral role in the development and certification of the Reliable Robotics autonomy framework, contributing significantly to the operation of our aircraft.Key ResponsibilitiesIn the role of Flight Software Manager, you will lead and cultivate a team that is responsible for the safety-critical software that enables our aircraft to operate. You will be responsible for enhancing engineering processes, balancing immediate execution with formal DO-178C verification, and facilitating the rapid integration and testing of GNC algorithms, while architecting software for certification.You will provide expert technical and architectural direction on flight software components, including flight controls and redundancy management. Collaborating closely with leads across Guidance, Navigation, and Controls (GNC), Avionics, Systems, and Hardware, you will develop and execute technical roadmaps, prioritize tasks, and empower your team to deliver robust, reliable, and certifiable flight software that enables advanced autonomy.

Join Waymo as a Systems Integration Engineer where you'll play a crucial role in enabling the integration of cutting-edge technology within our autonomous vehicles. Collaborate with interdisciplinary teams to ensure systems work seamlessly together to create a safer and more efficient transportation solution.

Join LinkedIn as a Principal Staff Software Engineer focused on AI-driven growth strategies for advertisers. In this pivotal role, you will lead the development of innovative software solutions that enhance the effectiveness of advertising on our platform. Collaborating with cross-functional teams, you will utilize your expertise in artificial intelligence to drive significant business impact and deliver exceptional value to our clients.

Join LinkedIn as a Senior Staff Applied Scientist specializing in Infrastructure Data Science. In this pivotal role, you will leverage your expertise to drive innovation and enhance the efficiency of our infrastructure systems. You will collaborate with cross-functional teams, developing cutting-edge data solutions that significantly impact our global user base.Your responsibilities will include conducting advanced data analyses, modeling complex systems, and implementing machine learning algorithms to optimize performance. You will also mentor junior scientists and contribute to a vibrant research culture, ensuring that LinkedIn remains at the forefront of technology and data science.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most trusted driver in the world. Launched in 2009 as the Google Self-Driving Car Project, we have since developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility and prevent traffic-related fatalities. Our technology has facilitated over ten million rides while autonomously navigating more than 100 million miles on public roads across 15+ states in the USA.The Waymo Onboard Infrastructure team is pivotal in managing low-level software and infrastructure across various components of our self-driving system. Our expertise spans low-level system software, high-bandwidth data logging, inter-process communication (IPC), performance analysis, and comprehensive system debugging. We collaborate closely with teams specializing in Hardware, Compute, Sensor, Perception, Behavior, and Machine Learning to create the most efficient and responsive self-driving solutions in the industry.We are currently looking for a seasoned Android System Software Engineer to join our team, focusing on the development of our In-Vehicle Infotainment (IVI) platform for our next-generation, in-house System-on-Chip (SOC). This role demands a solid understanding of low-level operating system principles, embedded software, and a proactive attitude towards validating hardware against critical software performance metrics.In this role, you will:System Bring-up & Integration: Implement and integrate low-level software, including bootloader configurations, device trees, and kernel porting during the initial hardware bring-up phase.OS/Kernel Development & Optimization: Customize and optimize the Linux Kernel and relevant aspects of the Android Open Source Project (AOSP) for the partner SOC, ensuring robust and efficient operation.Hardware Abstraction Layer (HAL) Implementation: Develop and maintain reliable Vendor HALs to interface with unique in-house hardware IP (e.g., security modules, power management units, display controllers) within the Android framework.Performance Engineering: Lead system-level performance optimization initiatives, focusing on boot time reduction, scheduling adjustments, thermal management, and power efficiency tailored to the SOC's architecture.Ambiguity Resolution: Proactively clarify technical requirements for features still being defined, ensuring rapid documentation and stabilization of interfaces for the broader software team.

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.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most trusted driver worldwide. Born from the Google Self-Driving Car Project in 2009, our goal has been to develop 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 powers our fully autonomous ride-hail service and can be integrated into various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, along with extensive simulation across 15+ U.S. states, our technology is continuously evolving.Our Hardware Engineering team is a dynamic and innovative collective of electrical, mechanical, reliability, software, and vehicle engineers. We design, develop, and refine the products that serve as the sensory interface of Waymo's autonomous driving technology, integrating these solutions into vehicle platforms. We invite curious and skilled individuals to join us in this pivotal journey.This position offers a hybrid work schedule, reporting to the Systems Engineering Manager.

Be a Part of the Future of Home RoboticsAt sunday, we are pioneering the development of personal robots designed to liberate individuals from the burden of repetitive tasks. Our mission is to democratize access to generalized robotics, allowing families to reclaim precious time spent on mundane activities.After investing 18 months in assembling an exceptional team, securing investment, and validating our technology, we are on the lookout for passionate professionals eager to join us during this exciting phase of growth. If you are ready to channel your expertise into cutting-edge robotics innovation, we want to hear from you.Your RoleAs a Full Stack Engineer focused on ML Data & Evals, you will serve as the vital link between raw data and robotic intelligence. You’ll create the foundational infrastructure for our ML team to evaluate and deploy models effectively. Your contributions will expedite the research-to-production cycle, facilitating on-robot evaluations and visualizing model performance in intricate, real-world settings.Key ResponsibilitiesDesign Interactive Data Systems: Develop interfaces and engines that integrate robot and Skill Capture Gloves™ data, enabling efficient human-in-the-loop workflows, from episode annotation to seamless transitions between autonomous operation and manual teleoperation.Conduct Evaluations & Benchmarking: Create high-performance tools to compare model-driven motions with human-captured ground truths, aiding in the assessment of model advancements across various tasks.Data Processing & Orchestration: Design processing services that convert raw captures and sensor data into formats suitable for machine learning, ensuring a smooth transition from our global data collection systems to the models that power our robots.Adaptability in a Startup Environment: While your primary focus will be the ML Platform, our Full Stack Engineers should be versatile, readily adjusting to shifting priorities and contributing across different areas of the stack as we grow.

Waymo is at the forefront of autonomous driving technology, striving to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—with the goal of enhancing mobility access while aiming to reduce the tragic loss of lives due to traffic accidents. The Waymo Driver not only fuels our fully autonomous ride-hailing service but is also adaptable across various vehicle platforms and applications. With over ten million trips solely for riders and extensive experience from autonomously navigating over 100 million miles on public roads, alongside tens of billions of miles in simulation across more than 15 U.S. states, we are leading the charge in this transformative technology.The Large Model Evaluation team plays a pivotal role in advancing Waymo's AI vision. As we integrate cutting-edge Large Language Models (LLMs) and Vision-Language Models (VLMs), our aim is to construct sophisticated AI systems capable of addressing the multifaceted challenges of real-world driving. Central to our achievements is the ability to accurately measure our progress. In a landscape where robust evaluation serves as a critical barrier to deploying large models, the intricacies of this task at Waymo are particularly complex and safety-sensitive. We seek quantitatively driven engineers to innovate and propose novel methodologies for evaluating the ML models utilized in the Waymo Driver.

Who We Are Nuro is a pioneering self-driving technology firm dedicated to making autonomous vehicles a reality for everyone. Established in 2016, we are at the forefront of developing the world’s most scalable autonomous driving system, merging advanced artificial intelligence with robust automotive hardware. Nuro licenses its flagship technology, the Nuro Driver™, to facilitate various applications, from robotaxis and commercial fleets to personal vehicles. With proven technology from years of autonomous driving deployments, Nuro equips automakers and mobility platforms with a clear trajectory towards commercial-scale autonomous vehicles, fostering a safer, more enriched, and interconnected future. About the Role At Nuro, safety is not merely a checklist; it is the foundation of our innovation. We are in search of a Systems Safety Technical Program Manager (TPM) who can navigate the intersection of functional safety standards, platform integration, and multidisciplinary engineering. Your contributions will be pivotal in delivering a vehicle that earns public trust on every journey. In this capacity, you will oversee the execution of safety programs across hardware, embedded software, and control systems. This involves translating ISO 26262 requirements into actionable strategies, driving the creation of functional safety artifacts from concept through validation, and ensuring our safety case is thorough, traceable, and prepared for audits. About the Work Safety Program Management Lead the comprehensive execution of functional safety workstreams, while coordinating with Controls, Hardware, and Embedded Software teams. Develop and uphold program timelines, risk registers, and interdepartmental dependency maps to guarantee timely delivery of safety milestones. Oversee the tracking and resolution of safety-related action items, open issues, and audit results across the vehicle platform. Functional Safety & Standards Steer the development, review, and upkeep of Functional Safety Requirements (FSRs) and Technical Safety Requirements (TSRs) in compliance with ISO 26262 standards. Assist with Hazard Analysis and Risk Assessment (HARA), Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), and safety goal derivation processes in collaboration with systems safety engineers. Ensure that safety work products are complete, consistent, and compliant with applicable Automotive Safety Integrity Level (ASIL) targets (A–D). Platform Integration, Testing & Validation Collaborate with integration and validation teams to establish safety-focused test strategies for platform-level and system-level verification. Monitor coverage of safety requirements through integration testing, including Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL).

Waymo is a pioneering force in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo focuses on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips completed and extensive experience from driving more than 100 million miles on public roads, complemented by simulations totaling tens of billions of miles across over 15 U.S. states, we are at the forefront of our industry.The Large Model Evaluation team plays a crucial role in advancing Waymo's AI ambition. As we leverage advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs), our goal is to create cutting-edge AI systems that navigate the complexities of real-world driving scenarios. Our progress hinges on our ability to measure performance effectively. With robust evaluation being essential for deploying large models, the challenges we face are particularly intricate and safety-critical. We are seeking engineers with a quantitative mindset to explore and establish innovative methods for assessing the machine learning models utilized in the Waymo Driver.

Join Aeva, where we are on a mission to revolutionize perception technology across a diverse range of industries, including automated driving, industrial robotics, consumer electronics, and security. Our innovative approach integrates key LiDAR components onto a silicon photonics chip, resulting in a compact module that enhances the capabilities of autonomous devices. With our unique 4D LiDAR sensors, we empower vehicles and robots to detect both instant velocity and 3D position, enabling safer and smarter decision-making for autonomy.