Senior Staff Embedded Linux Engineer

About UsAt Aurora Innovation, our mission is to harness the benefits of self-driving technology, delivering it safely, swiftly, and widely.The Aurora Driver is set to revolutionize mobility and logistics, paving the way for a safer, more efficient, and more accessible future for all. Join us at Aurora, where you will confront complex challenges alongside a t…

Company OverviewAt Matic Robotics, we are dedicated to transforming the way households manage chores through innovative home robotics. Our flagship product, Matic, is an advanced floor cleaning robot that embodies the concept of 'full self-driving' technology within the home, featuring real-time 3D mapping, adaptive path-tracking, and an intricate semantic understanding of living spaces. Utilizing cutting-edge spatial AI, Matic operates effectively in real-world environments, relying solely on RGB cameras and on-device neural networks.Privacy FirstWe prioritize the privacy of our users, ensuring that all data processing occurs locally on the robot, safeguarding household information from cloud vulnerabilities.Our ApproachJust as the iPhone revolutionized personal technology by consolidating multiple devices into one, we envision a similar evolution in home robotics. Our journey begins with single-purpose robots, progressively enhancing their capabilities to meet complex household needs.Our CultureAt Matic, we cultivate a collaborative and driven team environment, united in our mission to create innovative solutions that save our customers time and energy. Our team is comprised of dedicated individuals passionate about tackling challenging problems.About the RoleWe are seeking a Senior Embedded Linux Engineer to join our Platform team at Matic, where you will have the opportunity to make a significant impact from the outset. In this role, you will tackle a wide range of challenges, from low-level driver and kernel development to integrating complex perception algorithms that run locally on our robots, all while maintaining high performance with limited computational resources.We are looking for candidates with strong expertise in embedded Linux and C/C++, who are also enthusiastic about learning Rust. If you thrive in an environment of accountability and enjoy solving intricate problems, we would love to hear from you! You can learn more about our approach to Rust in our blog: Why Rust: It’s the Safe ChoiceWhat You Will DoDevelop essential device systems software and functionalities from the ground up.Support mechanical engineering and other teams by creating a resilient software stack that interacts effectively with firmware, motors, sensors, and other software agents.

Join Waymo as a Senior Software Engineer specializing in the Linux Kernel, where you will play a crucial role in developing and optimizing cutting-edge software solutions. As part of our dynamic team, you will engage in high-impact projects that directly contribute to the future of autonomous driving technology.

Join our dynamic team as a Senior Linux System Administrator at dstaff. In this pivotal role, you will leverage your expertise in Linux systems to ensure optimal performance, security, and reliability of our infrastructure. Your responsibilities will include managing servers, troubleshooting issues, and implementing best practices in a collaborative environment.

About Us:Aeva is at the forefront of innovation, dedicated to revolutionizing perception technology across various sectors, including autonomous driving, industrial robotics, consumer health, security, and more. Our cutting-edge 4D LiDAR sensors, which uniquely combine instant velocity detection with 3D positioning, empower autonomous vehicles and robots to operate with enhanced intelligence and safety.Role Overview:We are seeking a motivated and skilled Senior Embedded C++ Software Engineer to join our talented team. In this role, you will focus on embedded systems and take ownership of design projects from initial architecture through to production deployment. Your ability to work independently and collaboratively will be key to your success.

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.

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.

Job Title: Senior Staff Software Engineer - Enzyme Location: Mountain View, California At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most intricate challenges—from revolutionizing transportation to accelerating medical advancements. We achieve this by developing and managing the leading data and AI infrastructure platform, enabling our customers to harness deep data insights to elevate their businesses. The Lakeflow Engineering team at Databricks oversees our comprehensive ETL product line, including innovative solutions like Materialized Views, Structured Streaming, and Delta Live Tables. We operate one of the largest data engineering platforms globally, processing exabytes of data daily for our extensive client base. We are in search of a committed technical leader to guide the Materialized Views engineering team. This team is tasked with creating next-generation Materialized View features that enhance both ETL workloads and query acceleration. In this role, you will engage in various areas to design and implement advanced systems that surpass current state-of-the-art: Incrementally maintaining materialized views Optimizing query performance Managing resources efficiently Developing effective storage structures Automating physical data optimization Your Impact: Address significant business needs at a large scale through your software engineering expertise. Deliver a robust, scalable, and fault-tolerant architecture for Materialized Views. Conduct low-level systems debugging, performance measurement, and optimization on large production clusters. Shape architecture design, influence product roadmaps, and assume ownership of new projects. Introduce tools that enhance automation and operational efficiency of services. Utilize your extensive experience to help preempt and resolve production issues. Plan and lead complex technical projects collaborating with multiple teams across the organization.

Coupang is a leading name in South Korean e-commerce, known for dependable service and rapid innovation. With offices in Mountain View and Seattle, the company blends a startup’s drive with the backing of a global public organization. The culture supports both individual growth and strong teamwork. Initiative is valued at Coupang. Team members often launch new projects and play a direct role in shaping the company’s direction. Entrepreneurial thinking is encouraged, and those who drive improvements are recognized for their impact on both personal and company development. Coupang’s ambitions reach beyond standard commerce. The company regularly tackles challenging projects, always looking for new ways to improve technology and customer experience. Role overview The Senior Staff Backend Engineer will be part of the Application Infrastructure team. This group is responsible for building and enhancing complex workflow systems that power Coupang’s core services, including the rocket delivery platform. Their work supports systems that manage hundreds of millions of dollars in revenue. What you will do Design and develop a new, scalable workflow service from the ground up Make workflow development easier for domain teams Ensure the infrastructure can support growing business demands Help shape a critical system at the center of Coupang’s operations

Role Overview matx is hiring an AI Runtime System Software Engineer focused on the Linux Kernel. This position is based in Mountain View, CA. What You Will Do Design and build software to improve the performance and efficiency of AI systems. Work with the Linux Kernel to support advanced AI workloads. Your contributions will help drive the next generation of artificial intelligence technology.

The Enterprise Applications team at Databricks is embarking on an exciting journey to redefine our business operations. Our objective is to develop robust, in-house platforms and AI-driven capabilities that deliver a significant competitive edge, propelling us towards doubling our size and revenue.As a Senior Staff Software Engineer within the Enterprise Applications team, you will be pivotal in designing and implementing end-to-end applications that enhance our business functionalities and equip our employees with truly assistive technologies. Your responsibilities will include defining the technical roadmap, designing essential software systems, elevating engineering standards, mentoring junior engineers, and addressing the most complex technical challenges the team faces. You will serve as the technical leader for a team of talented software engineers.

Coupang is a major force in South Korean e-commerce, focused on making daily life easier for millions of customers. The company combines the energy of a startup with the reach and stability of a global public business, supporting rapid innovation and new service launches. Team members value initiative, growth, and the opportunity to make a real impact. About the Role The Senior Staff Software Engineer - Security will play a central role in strengthening the security and reliability of Coupang’s core platforms. This position is based in Mountain View or Seattle. The work centers on technical leadership, architecture, and hands-on software development. The goal: build secure, dependable, and scalable systems that support Coupang’s growth and protect customer trust. What You Will Do Lead security architecture and design for backend systems Drive technical decisions that improve platform security, quality, and reliability Mentor and guide fellow engineers on security best practices Collaborate closely with product teams on high-impact projects Contribute directly to codebases, setting high standards for secure development What We’re Looking For Extensive experience in software engineering with a focus on security Strong background in building and scaling secure backend systems Proven ability to provide technical leadership and architectural direction Experience mentoring engineers and collaborating across teams Join Coupang to help shape the future of commerce and make a lasting difference in a high-tech, connected world.

Waymo, a leader in autonomous driving technology, aims to be the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo's mission has been to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver, recognized as The World's Most Experienced Driver™, not only powers our fully autonomous ride-hail service but is also adaptable across multiple vehicle platforms and applications. With over ten million rider-only trips under its belt, it has driven autonomously for more than 100 million miles on public roads and executed extensive simulations across 15+ U.S. states.In the Hardware organization, Software Engineering is where innovative software integrates seamlessly with the physical world. You will be instrumental in developing critical systems that oversee autonomous vehicle operations across varied domains, including Sensing, Vehicle Integration, Positioning, Motion Control, Fault Management, Onboard Automation, and Embedded Simulation. We seek versatile software engineers capable of tackling diverse challenges in embedded systems, controls, sensor processing, manufacturing calibration, simulation, and data analytics, as well as designing advanced state machines and automation interfaces.Your contributions will directly influence Waymo's ability to expand its fleet and reach more urban areas.This position follows a hybrid work schedule, and you will report to a Software Engineer.

Join Waymo as a Senior Staff Machine Learning Engineer specializing in Depot Automation, where you will play a vital role in transforming the future of transportation through cutting-edge machine learning solutions.Your expertise will drive innovation and efficiency, ensuring our autonomous vehicles operate seamlessly in various environments. Collaborate with a team of passionate engineers and researchers to develop and implement advanced algorithms that enhance our depot operations.

About Us Nuro is at the forefront of self-driving technology, striving to make autonomous driving accessible to everyone. Established in 2016, we are dedicated to developing the world’s most scalable driver by merging advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed across various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of successful self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, more connected future. Role Overview At Nuro, we prioritize a machine-learning-centric approach to autonomous driving. The performance of our systems relies significantly on the volume and diversity of training and evaluation data. Our team is vital in enhancing autonomous driving systems by ensuring high-quality labeled data accessibility. This is achieved through a sophisticated labeling stack that includes a workflow execution framework, supporting infrastructure, and an array of data annotation tools. Our autonomy stack is powered by an industry-leading sensor suite, capable of efficiently processing and annotating millions of sensor data points weekly. The platform team's mission is to ensure that labeled data is readily available for all users. Our systems must be dependable and scalable, encompassing everything from request submissions to progress tracking, data dumping, and model development. We work closely with autonomy engineers to guarantee the labeled data's quality and comprehensiveness. As Nuro expands its services, it becomes increasingly critical to capture and promptly triage all issues. Key Responsibilities Develop and maintain highly available and fault-tolerant systems for data annotation. Productionize core infrastructure for our cutting-edge autonomy system. Enhance label quality through data-driven metrics and monitoring. Leverage state-of-the-art ML research to automate and optimize the data labeling lifecycle. Qualifications Bachelor's or Master's degree in a relevant field with 5+ years of industry experience. Proven experience in designing, building, and operating highly scalable and reliable distributed data systems. Demonstrated ability to lead cross-functional projects with strong communication skills. Expertise in data processing and machine learning techniques.

At Databricks, we are committed to empowering data teams to tackle some of the world's most significant challenges—ranging from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized through the development and management of the foremost data and AI infrastructure platform, enabling our clients to derive deep insights from their data to enhance business outcomes. Founded by engineers and driven by a passion for customer success, we eagerly embrace each opportunity to confront technical hurdles, from innovating next-generation UI/UX for data interaction to scaling our services across millions of virtual machines. Our journey has just begun.As a Senior Staff Software Engineer, you will be a pivotal member of the executive leadership team within the Data Platform organization. You will utilize cutting-edge AI developer tools and methodologies to construct the Data Intelligence Platform, which will facilitate automated decision-making across Databricks. This role involves collaboration with distinguished Tech Leads, product teams, data scientists, and others. You will shape the future of various tools, including logging, orchestration, data transformation, metric stores, governance platforms, and data consumption layers.

Waymo, an innovator in autonomous driving technology, aims to be the world's most trusted 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 while preventing countless lives lost to traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service, applicable to various vehicle platforms and product use cases. With over ten million rider-only trips under its belt, the Waymo Driver has autonomously navigated more than 100 million miles on public roads and engaged in extensive simulation across 15+ U.S. states.The Waymo Onboard Infrastructure team is responsible for the low-level software and infrastructure supporting various components of the Waymo self-driving system. Our work encompasses everything from low-level system software to high-bandwidth data logging, inter-process communication (IPC), performance analysis, and comprehensive system debugging. Collaborating closely with Hardware, Compute, Sensor, Perception, Behavior, and Machine Learning teams, we strive to build the most efficient and low-latency self-driving solution in the industry.As a member of the System Software Team, you will concentrate on the Telematics unit—the essential Linux-based gateway that manages all data flow in and out of the autonomous vehicle. This role involves critical functions such as real-time diagnostics, over-the-air (OTA) software updates, and high-bandwidth telemetry. You will play a pivotal role in developing, securing, and maintaining the connectivity infrastructure that drives the continuous operation and improvement of Waymo's fleet.In this role, your responsibilities will include:System Software Development: Collaborate with a dedicated team of System Software and Linux Kernel Engineers to design, develop, and deploy production-grade system software components for driverless vehicles, from initial prototyping through to launch.Linux OS Ownership: Manage and enhance the operating system of the Telematics unit, which includes the Linux kernel, device drivers, and core OS services.Networking & Connectivity: Develop and implement robust, high-performance networking solutions that ensure reliable data transfer over Wi-Fi and cellular modems.Infrastructure & Testing: Create and apply a comprehensive testing methodology and infrastructure to verify the reliability and security of low-level software while facilitating seamless updates across the fleet. Utilize automated testing of hardware to validate low-level hardware-software systems.Cross-Functional Problem Solving: Effectively collaborate with hardware partners (SoC vendors, ODMs) and internal engineering teams to address complex, cross-disciplinary system challenges.

Join our dynamic team at Moveworks as a Senior Staff Machine Learning Engineer. In this pivotal role, you will leverage your expertise in machine learning and artificial intelligence to develop and enhance agentic systems that transform the way organizations interact with their customers. You will work alongside a talented group of engineers and data scientists to create innovative solutions that improve user experiences.

At Coupang, we are dedicated to delivering an exceptional experience for our customers. Our goal is to elicit the reaction, "How did we ever live without Coupang?" With a relentless passion for simplifying shopping, dining, and living, we are transforming the multi-billion-dollar e-commerce landscape from the ground up. We have rapidly emerged as one of the leading e-commerce companies in South Korea, known for our reliability and innovation. We embody the best of both worlds — a startup-like atmosphere paired with the resources of a global public enterprise. This unique combination propels our growth and accelerates the launch of new services, maintaining the swift pace we established at our inception. Our team is filled with entrepreneurial spirits eager to initiate new projects and innovations. At Coupang, you will witness personal, team, and company growth each day. Our mission to revolutionize commerce is genuine. We continuously push the limits of what is achievable, tackling challenges and dismantling traditional trade-offs. Join Coupang and contribute to creating an extraordinary experience in today’s fast-paced, technologically advanced, and interconnected world. Role Overview As a Senior Staff Software Engineer in the ML Infrastructure team for Search & Discovery, you will be tasked with designing and implementing robust and efficient software solutions that manage vast amounts of structured and unstructured data necessary for training complex machine learning models and serving them effectively online. The Search & Discovery team is pivotal in optimizing our customers' navigation experience and driving sustained growth. Each week, over 20 million customers utilize search on our app or coupang.com, with more than a third making purchases. A significant portion of Coupang's sales is directly linked to search and recommendation features, with many business strategies and growth initiatives being influenced by ranking and recommendation algorithms. This position offers a chance to develop scalable offline and online machine learning platforms to support ranking, recommendation, and business decision-making. You will work with billions of user interaction records and petabytes of raw log files, converting them into actionable data formats for engineers and scientists. Additionally, you will be responsible for delivering complex machine learning models in real-time, facilitating millions of Coupang customers in discovering and searching for products. If you are passionate about big data engineering, scalable serving systems, and making a tangible business impact, this role is an excellent fit for you.

Join Databricks as a Senior Staff Software Engineer focusing on Lakeflow Pipelines Datasets. In this pivotal role, you will be at the forefront of developing scalable data processing solutions that empower organizations to harness the full potential of their data. Your expertise will directly contribute to the enhancement of our Lakeflow platform, ensuring seamless data integration and processing workflows.As part of a dynamic team, you will collaborate closely with product managers, data scientists, and other engineers to design and implement robust pipelines that can efficiently handle large datasets. This role offers the opportunity to influence architectural decisions and drive best practices in data engineering.