Staff Software Engineer - Backend In-Car Experience

Waymo is a pioneer in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while preventing countless traffic-related fatalities. The Waymo Driver powers our fully …

Be a Part of the Next Generation of Home RoboticsAt Sunday Robotics, we are at the forefront of developing innovative personal robots designed to liberate individuals from mundane tasks. Our mission is to create widely accessible, generalized robots that help families reclaim valuable time together.After 18 months of dedicated effort in building an exceptional team, securing funding, and validating our technology, we are now eager to welcome passionate individuals ready to contribute to our exciting journey ahead. If you are enthusiastic about applying your expertise in robotics and technology, we would love to hear from you!Your RoleAs a Systems Software Engineer, you will play a pivotal role in developing the core software systems for our home robotics solutions. Your responsibilities will include creating efficient, safety-critical software and collaborating across various teams including Software, Machine Learning, Controls, and Hardware.Key ResponsibilitiesDefine system interfaces while ensuring real-time performance and communication reliability.Write and maintain low-level drivers to facilitate seamless interaction between the onboard computer and physical components such as sensors, actuators, and motor controllers.Develop comprehensive logging and diagnostic tools for system health monitoring and debugging.Qualifications5+ years of experience in developing systems software for robotics or similar resource- and latency-constrained environments.Proficient in systems-level programming languages such as C, C++, or Rust.Solid understanding of Linux, including kernel tuning, scheduling, IPC, memory management, and RTOS.Experience with CPU performance optimization and real-time programming techniques.Preferred QualificationsExperience in writing software for interfacing with sensors and actuators.Familiarity with build systems and over-the-air (OTA) updates.Experience with creating custom Linux drivers.

Join the cutting-edge team at LinkedIn as a Distinguished Software Engineer specializing in Systems Infrastructure. In this pivotal role, you will spearhead innovative projects, drive engineering excellence, and contribute to the development of robust infrastructure solutions that empower millions of users worldwide.

Join Databricks, where we are dedicated to empowering data teams to tackle the world's most challenging problems, from enhancing AI research to driving next-generation applications. We achieve this by constructing and managing the premier data and AI infrastructure platform globally. Founded by engineers and fueled by a commitment to our customers, we take on the most challenging technical tasks, whether it's scaling distributed systems across multiple clouds or ensuring reliable, low-latency communication between thousands of services. And this is just the beginning. As a Senior Software Engineer on the Application Traffic team, you will design and develop the systems that facilitate Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment. You will also contribute to creating abstractions that simplify networking complexities for product teams, ensuring seamless connectivity, discovery, and reliability by default.

Join Databricks as a Staff Software Engineer focused on Backend development, where you'll play a crucial role in enabling data teams to tackle some of the world's most challenging problems, ranging from security threat detection to cancer drug development. Our mission is to build and operate the world's leading data and AI infrastructure platform, allowing our customers to concentrate on the high-value challenges central to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has rapidly expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 employees. Our platform is trusted by thousands of organizations, from startups to Fortune 100 companies, making us one of the fastest-growing SaaS companies worldwide.As part of our engineering team, you'll develop and maintain highly technical products that address significant real-world needs. We constantly push the limits of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success.Our software operates at an impressive scale, managing millions of virtual machines and processing exabytes of data daily. We frequently encounter cloud hardware, network, and operating system faults, and it is vital that our software effectively shields customers from these issues.As a Backend Software Engineer, you'll collaborate closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform. Your responsibilities will include writing software in Scala/Java, building data pipelines using Apache Spark and Apache Kafka, integrating third-party applications, and interacting with cloud APIs such as AWS and Azure.Possible teams you could join include:Data Science and Machine Learning Infrastructure: Develop services and infrastructure that blend machine learning and distributed systems, empowering collaborative workspaces, notebooks, IDE integrations, and project management tools.Compute Fabric: Create resource management infrastructure that supports big data and machine learning workloads in a robust, flexible, secure, and cloud-agnostic manner, managing millions of virtual machines.

At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging issues in the world—whether it's realizing the next breakthrough in transportation or accelerating medical innovations. Our mission is to build and operate the leading data and AI infrastructure platform, allowing our clients to harness deep data insights for business enhancement.Our engineering teams create impactful technical products that address significant global needs. We consistently push the limits of data and AI technology while ensuring the security and scalability crucial for our customers' success on our platform.We manage one of the largest software platforms globally, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we monitor cloud hardware, network, and operating system faults, ensuring our software effectively shields our customers from these challenges.As a member of the Observability team, you will be at the forefront of developing solutions that deliver critical insights into the health and performance of our products and infrastructure.

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.

Join Databricks as a Staff Software Engineer in the Customer Experience Intelligence (CXI) team, where you'll play a pivotal role in shaping the future of customer engagement. Here, you will utilize cutting-edge technologies to develop innovative solutions that enhance customer satisfaction and loyalty. Collaborate with cross-functional teams to integrate advanced analytics and machine learning models into our product offerings, ensuring that our customers have the best experience possible.

Waymo is at the forefront of autonomous driving technology, striving to become the world’s most reliable driver. Originating from the Google Self-Driving Car Project in 2009, our mission has been to develop the Waymo Driver—the world's most experienced driver—to enhance mobility access and save countless lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and can be adapted to various vehicle platforms and product applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, along with tens of billions of miles simulated across more than 15 U.S. states, we are redefining transportation.The Perception team is dedicated to building systems that learn the spatial-temporal representations and semantic meanings of the environment around the autonomous driving vehicle (ADV). We collaborate closely with downstream teams to optimize and integrate these systems into the Waymo Driver. Our research tackles real-world challenges and involves collaboration with Alphabet’s research teams. With access to millions of miles of diverse driving data from various sensors, our engineers develop methods for efficient and continuous learning from large-scale real-world data, model training at scale, real-world behavior analysis, and optimizing models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.

Harness is at the forefront of revolutionizing software delivery with its cutting-edge AI Software Delivery Platform, founded by visionary technologist Jyoti Bansal, the mastermind behind AppDynamics, which was acquired by Cisco for a staggering $3.7 billion. With approximately $570 million in raised funding and a valuation of $5.5 billion, we are supported by premier investors such as Goldman Sachs, Menlo Ventures, IVP, and Citi Ventures. In an era where AI is expediting code development, the critical challenges now lie in phases post-coding, including testing, deployments, application security, reliability, compliance, and cost optimization. Harness is committed to addressing these challenges by integrating AI and automation into the software delivery lifecycle, empowering teams to deliver software more efficiently while upholding security and governance throughout.Our platform, driven by Harness AI and the Software Delivery Knowledge Graph, employs intelligent automation and deep context across the software delivery lifecycle, ensuring governance and policy-driven controls are seamlessly integrated.Over the past year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and 3 trillion protected API calls, managing an impressive $2.8 billion in cloud expenditure. Our clients, including renowned names like United Airlines, Morningstar, and Choice Hotels, have experienced accelerated release times by up to 75%, reduced cloud expenses by as much as 60%, and achieved a tenfold increase in DevOps efficiency.With a global workforce spanning 14 offices across 25 countries, Harness is shaping the future of AI-driven software delivery. Join us and contribute to our mission!Position SummaryThe Harness Supply Chain Security (SCS) module safeguards each phase of the software delivery lifecycle by securing builds, artifacts, and dependencies from inception to deployment. It offers comprehensive visibility, policy enforcement, and real-time risk detection, enabling engineering teams to ensure software integrity, prevent tampering, and comply with evolving supply chain security regulations. As part of this dynamic team, you will work on a rapidly growing product that integrates seamlessly with the broader Harness platform, unifying software delivery and developer tools into one cohesive experience. This is a high-impact role addressing pressing challenges faced by modern DevOps and platform engineering teams.

Company OverviewID.me is at the forefront of digital identity verification, creating a next-generation wallet that simplifies how individuals securely prove their identity online. With over 152 million users, we enable seamless logins across various platforms, eliminating the need for multiple logins and verifications. Our services are utilized by 20 federal agencies, 45 state governments, and more than 70 healthcare organizations. Over 600 consumer brands leverage our technology to build authentic relationships and honor community service. ID.me adheres to the federal standards for consumer authentication set by the Commerce Department and is recognized as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. We are committed to ensuring that no one is left behind in the digital identity landscape. To explore more about us, visit https://network.id.me/.Role OverviewWe are on the lookout for a Staff Software Engineer to join our Wallet – Authentication & Verification Experiences team. This pivotal team is responsible for the core authentication and identity verification processes that millions of users depend on daily, including secure logins, multi-factor authentication, passkeys, and biometric integrations. As a Staff Engineer, you will serve as a technical cornerstone in one of the most crucial and high-traffic engineering domains at ID.me, steering architectural decisions, leading complex cross-functional projects, and elevating our standards for engineering quality, security, and reliability. You will work closely with product, security, and platform teams to shape the future of authentication and verification experiences at ID.me.This position requires on-site work at our Mountain View, CA office five days a week.

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.

Who We AreAurora Innovation is on a mission to revolutionize transportation through self-driving technology, delivering safety, efficiency, and accessibility for all.The Aurora Driver is set to usher in a new era of mobility and logistics, making travel safer and more efficient.Join Aurora to tackle complex challenges with a team of passionate and intelligent individuals, fostering growth and expertise in the field. For the latest updates, visit aurora.tech or connect with us on LinkedIn.We are looking for a Staff Software Engineer - Online Maps to join our Maps ML team. This team is pivotal in providing real-time map data to the Aurora Driver as it navigates the complexities of the world.Your Role:Lead and collaborate with the Online Maps autonomy team to enhance and implement perception algorithms that empower the Aurora Driver.Research and develop cutting-edge deep learning and machine learning models for robust perception solutions in diverse scenarios.Create innovative verification and validation technologies and methodologies.Work closely with engineers from online maps, simulation, and safety to ensure online mapping technology is ready for autonomous operations.Build infrastructure and tests that support critical decisions for deploying the Aurora Driver.Integrate, test, and deploy production-ready solutions into the codebase that powers the Aurora Driver.

About UsAurora Innovation is on a mission to revolutionize transportation through safe and rapid deployment of self-driving technology. Our flagship product, the Aurora Driver, aims to usher in a new era of mobility and logistics, ensuring a safer, more efficient, and accessible future for everyone.Join us at Aurora, where you will collaborate with a team of passionate experts to solve complex challenges and expand your expertise. For the latest updates, visit aurora.tech or follow us on LinkedIn.We are looking for a talented Staff Software Engineer to join our Vehicle Connectivity team. This team is dedicated to developing Aurora's self-driving vehicle connectivity stack, ensuring reliable, observable, and secure vehicle-to-cloud communications.

Your Role at MoveworksDevelop and enhance core infrastructure services and microservices that support our machine learning, frontend, and platform teams.Implement critical functionalities such as distributed configuration management, rate limiting, feature flagging, A/B testing, and traffic capture and replay.Optimize the performance, scalability, and observability of Moveworks cloud infrastructure.Consistently deliver time-sensitive projects in collaboration with other engineering teams.Take full ownership of features from inception to deployment while actively influencing the infrastructure roadmap.Engage in a highly collaborative, in-person role, working across various teams including Core and ML engineering.

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

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.

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues — from realizing the next mode of transportation to fast-tracking medical advancements. Our mission involves constructing and managing the premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their operations. Search technology is integral to this endeavor. Through a combination of keyword retrieval, semantic similarity via vector embeddings, and hybrid methods, our Search technologies enable users to find, discover, and comprehend information within vast, intricate datasets. This technology fuels a wide array of applications, from Retrieval Augmented Generation (RAG) and AI assistants to recommendation engines, enterprise knowledge management, in-product search, and data exploration. As a Staff Software Engineer specializing in Search Quality, you will steer the technical strategy for ranking, relevance, evaluation, and quality initiatives within Databricks' advanced Search product. You will architect and develop systems, models, and evaluation frameworks that guarantee our Search stack yields precise, high-quality outcomes across a variety of multimodal datasets and query patterns. Collaborating with research, product, and infrastructure teams, you will push the boundaries of retrieval quality for enterprise AI applications by integrating traditional information retrieval techniques with representation learning and neural ranking. In addition to your technical contributions, you will help shape our long-term vision for relevance and quality, mentor senior engineers, and lead strategic initiatives that enhance the accuracy, dependability, and overall impact of Search across Databricks.

Join Moveworks as a Staff Software Engineer and play a pivotal role in enhancing our Core Platform. You will collaborate closely with cross-functional teams to design, develop, and implement innovative software solutions that drive efficiency and improve user experiences.

About UsAt Gatik, we are pioneering the future of autonomous middle-mile logistics. Our innovative approach to B2B supply chain management leverages autonomous transportation-as-a-service (ATaaS), ensuring safe and reliable deliveries while optimizing freight movement and alleviating congestion. We have made history by launching the world’s first fully driverless commercial transportation service in partnership with Walmart in 2021. Our Class 3-7 autonomous trucks are actively operating in key markets such as Texas, Arkansas, and Ontario, Canada, driving transformative change in the freight transportation industry.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously engineered to facilitate secure and efficient freight transport between designated pick-up and drop-off points on the middle mile. With advanced capabilities in both highway and urban settings, Gatik Carrier™ seamlessly integrates sophisticated software and hardware that powers our fleet, thereby ensuring smooth incorporation into our clients' logistics operations.Role OverviewWe are on the lookout for a Senior or Staff Software Engineer who possesses extensive expertise in Visual Odometry (VO) and Localization to become a vital member of our autonomy team. This position is essential for the creation of precise, real-time vehicle localization systems utilizing camera-based perception for autonomous driving applications. The ideal candidate will have practical experience in deploying VO systems in real-world settings, particularly within the autonomous vehicle (AV) sector, and will demonstrate strong C++ engineering capabilities to develop robust, high-performance software solutions.This role requires onsite presence five days a week at our Mountain View, CA office.