Staff Software Engineer / Technical Lead Manager - Mapping

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 has committed to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. With the Wa…

Moveworks is looking for a Senior Software Engineer to join the Agentic AI Systems team in Mountain View. This position focuses on building advanced AI-driven solutions that improve customer experience. Role overview As a senior engineer, you will guide the development of new AI systems. The work involves collaborating with team members and applying modern technologies to solve complex challenges. Your contributions will have a direct impact on product direction and the evolution of AI capabilities at Moveworks. What you will do Lead the design and implementation of AI-powered features Work closely with others to deliver solutions that enhance customer interactions Apply your expertise to influence technical decisions and product strategy Requirements Experience developing AI systems Strong collaboration and technical leadership skills Ability to work with modern technologies to drive innovation

Aeva is seeking a talented Software Engineer to join our Perception Data Infrastructure team. In this role, you will be responsible for designing and developing scalable systems to manage and process perception data efficiently. You will work collaboratively with cross-functional teams to innovate and enhance our perception capabilities, contributing to the overall success of our cutting-edge technology.

At Waymo, we are pioneering the future of autonomous driving technology with an unwavering commitment to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has always been on engineering the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. The Waymo Driver currently powers our fully autonomous ride-hail service, having completed over ten million rider-only trips and covering more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.This role in Software Engineering is crucial as we develop the intelligent systems that allow the Waymo Driver to navigate complex environments, make sound decisions, and ensure safe transportation for our users. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a dedicated software engineer or researcher with a passion for Level 4 autonomous driving, we are eager to meet you.In this hybrid role, you will report directly to a Technical Lead Manager.

Waymo is a pioneering autonomous driving technology firm dedicated to becoming the world’s most reliable driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has committed itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to save thousands of lives lost in traffic accidents. The Waymo Driver underpins Waymo’s fully autonomous ride-hailing services and can be adapted across various vehicle platforms and applications. With more than ten million rider-only trips completed, it has driven over 100 million miles on public roads and tens of billions of miles in simulations across 15+ U.S. states.In this hybrid role, you will work closely under the guidance of a Technical Lead in Planner Technology.Your Responsibilities:Analyze driving behavior issues from logs to identify underlying causes.Enhance the performance of cutting-edge machine learning models in the Planner.Build foundational frameworks to further the capabilities of the Waymo Driver.Broaden the influence of machine learning models while maintaining interpretability and behavioral assurances.Contribute to solving some of the most complex driving scenarios.

Join Waymo as a Senior Staff Software Engineer specializing in TLM (Traffic Light Management). In this crucial role, you will lead the design and development of innovative software solutions that enhance our autonomous vehicle systems. Your expertise will contribute significantly to improving traffic management systems and ensuring seamless operations for our fleet.

Join our innovative team at LinkedIn as a Principal Staff Software Engineer specializing in Trust. In this pivotal role, you will lead the development of scalable and secure systems, ensuring user trust and data integrity. Collaborate with cross-functional teams to design, implement, and optimize solutions that enhance the platform's security and user experience.As a key contributor, you will leverage your expertise in software engineering and security practices to influence product direction and drive technical excellence. Your leadership will empower teams to deliver high-quality software that meets our users' needs and expectations.

The Role Are you an accomplished software engineer eager to apply your expertise in a pioneering environment focused on AI agents? If so, this opportunity might be the perfect fit for you. As a senior software engineer on our innovative 'Agent Lab' team, specializing in Natural Language Understanding, you will significantly contribute to our mission: to expand the scope of tasks that can be reliably performed by agents at scale. You will have the chance to shape the future of the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools in enterprise AI, including top-tier LLMs from providers such as OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling complex product and engineering challenges, and maximizing the value delivered to our customers. If you're looking to create meaningful impact alongside a talented, dedicated, and mission-driven team, we would love to discuss this opportunity with you. What You Will Do: Confront exciting and complex engineering challenges to develop and enhance robust AI agent systems that demonstrate reliability in all aspects. Implement leading-edge AI algorithms and architectures, ensuring their successful deployment at scale. Leverage the latest advancements in machine learning, LLMs, and AI agents to enrich our products and deliver exceptional user experiences. Contribute to the product roadmap and drive the development of engineering areas with increasing scope and significance, creating lasting value for our customers. Refine your skills in writing clean, extensible, readable, and high-performing code. Collaborate with subject matter experts across various departments, including machine learning, security, product, user experience, and customer success, to share knowledge and build the most exceptional enterprise AI product. Mentor fellow engineers on best practices for building, maintaining, and evolving high-quality software. Work closely with machine learning engineers, fostering a collaborative environment to build world-class AI systems. What You Bring To The Table: 2+ years of experience in designing, building, and enhancing production systems, preferably at scale. Strong analytical skills with the ability to clearly articulate complex engineering problems and systems. Proficient in programming languages and frameworks relevant to the development of AI systems. A passion for learning and staying updated with the latest trends in AI and software engineering.

The Role Are you an accomplished software engineer eager to leverage your expertise in designing and enhancing production systems at the forefront of AI technology? If so, this opportunity might be the perfect fit for you. As a senior software engineer within our dynamic “agent lab” Natural Language Understanding team, you will play a pivotal role in our mission: to expand the capabilities of AI agents to operate reliably at scale. You will have the chance to influence the progression of the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, latency optimization, agent memory, and more. With access to state-of-the-art AI tools, including leading LLMs from OpenAI, you will be at the cutting edge of technology. Our team prioritizes rapid development on scalable infrastructure while tackling complex engineering challenges and enhancing the value we deliver to our customers. If you are ready to make a significant impact alongside a passionate and dedicated team, we would love to hear from you.

The Role Join our innovative team as a Software Engineer specializing in Agentic AI Systems as a new graduate. If you have developed your programming expertise through internships, research, or academic projects and are eager to apply your skills at the forefront of AI technology, we encourage you to consider this exciting opportunity. As a valued member of our Natural Language Understanding team within the 'agent lab', you will contribute significantly to our mission of enhancing the capabilities that agents can reliably perform at scale. Your work will involve advancing the Moveworks AI Assistant platform in areas including agent orchestration, sandboxed file systems, latency optimization, agent memory, LLM self-improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with state-of-the-art enterprise AI tools, including leading LLMs from providers like OpenAI, you will engage in rapid development on scalable infrastructure, tackle challenging engineering problems, and maximize the value we deliver to our customers. If you are excited about making a meaningful impact alongside a dedicated team, we would love to hear from you. What You Will Do: Engage in engineering challenges to build and enhance robust AI agent systems. Implement cutting-edge AI algorithms and architectures, collaborating closely with senior engineers to ensure scalability. Leverage the latest advancements in machine learning, LLMs, and AI to enhance our products and create exceptional user experiences. Contribute to projects that generate lasting value for our clients. Refine your skills in writing efficient, maintainable, and high-performance code. Collaborate with experts across various domains, including machine learning, security, product management, user experience, and customer success, to create the premier enterprise AI product. Learn from and work with senior engineers and machine learning experts to develop world-class AI systems.

About Our TeamThe Systems Engineering team at Nuro plays a pivotal role in defining the requirements, architecture, and validation processes for our autonomous driving capabilities. We focus on establishing performance metrics, evaluation methods, and success criteria that guide cross-functional efforts through requirement definitions and system validations. Operating at the intersection of hardware, software, and robotic operations, we possess a profound understanding of technologies across these domains. Our small, high-impact team sets the benchmarks for autonomy deployment.About the RoleAs a Senior/Staff Software Engineer specializing in Fault Response Verification, you will collaborate closely with our Autonomy development, evaluation infrastructure, and data science teams. Your responsibilities will include defining system-level behavior requirements in the presence of faults, developing metrics to identify requirement violations, creating innovative validation tools and pipelines for integration into our Safety Case and risk assessment frameworks, and contributing to risk quantification. Your work will significantly influence our immediate deployments and long-term autonomy feature roadmap, enhancing Nuro's operational fleet.Key ResponsibilitiesAnalyze the system-level implications of Nuro’s autonomy architecture and software to understand the interdependencies of failure modes and fault responses.Establish requirements for fault response, decomposing them through the autonomy software and hardware framework.Lead fault-centric validation from prototype through to production testing.Develop tools and data engineering frameworks to inject faults into the autonomy stack and interpret simulation, on-road, and closed-course testing results to evaluate mission capabilities and safety.Work with autonomy developers to identify high-impact metrics and performance indicators that assess our robots’ readiness to operate autonomously under degraded software states.Enhance tooling for automated evaluation of test logs to verify compliance with contingency requirements.About YouProven experience in software engineering with a focus on fault response verification.Strong analytical skills and the ability to work collaboratively in a fast-paced environment.Passion for autonomous systems and a commitment to safety and reliability.

Our Mission: At Drivemode, we believe that the future of driving technology should be revolutionary. We envision vehicles that are immensely smarter, safer, and more interconnected with the world. Our mission is to transform this vision into reality. Since our partnership with Honda in 2019 — marking their first startup acquisition — we are dedicated to pioneering the future of battery electric vehicles (BEVs) for millions globally.Why Join Drivemode: As Honda's innovative software and user experience division, Drivemode is at the forefront of enhancing digital experiences for next-generation electric vehicles. Joining our dynamic startup atmosphere offers the chance to engage in meaningful work, competitive compensation, and outstanding benefits. By being part of our team, you'll play a vital role in reshaping how people interact with vehicles while addressing global environmental challenges. This is a unique opportunity to lead innovation and support Honda's achievements in the EV sector.Role Overview: In this role, you will help shape the architecture and technical vision for a suite of companion apps and backend services tailored for the latest electric vehicles from Honda and Acura, which were showcased at CES this year. The primary development platforms will include Android and iOS.We seek an individual who takes ownership of product features and quality, is eager to explore new technologies, and is willing to go above and beyond to achieve success, even if it means stepping outside of typical responsibilities.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating as 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 while dramatically reducing traffic-related fatalities. With over ten million rider-only trips powered by our technology, the Waymo Driver has autonomously navigated more than 100 million miles on public roads across over 15 U.S. states, alongside extensive simulation efforts.Our Hardware Engineering team is a dynamic and collaborative group of electrical, mechanical, reliability, software, and vehicle engineers responsible for designing, building, and refining the essential components that serve as the sensory systems for Waymo’s autonomous vehicles. We invite innovative and inquisitive individuals to join us in advancing our mission.This position operates under a hybrid work model and reports to a Hardware Engineering Lead.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save thousands of lives currently lost to traffic accidents. The Waymo Driver operates Waymo’s fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips, our technology has autonomously driven more than 100 million miles on public roads and processed tens of billions of miles in simulation across more than 15 U.S. states.The Waymo ML Frameworks & Efficiency team collaborates closely with Research and Production teams to design and implement models in Perception and Planning, which are essential components of our autonomous driving software. We provide our partners with the most effective frameworks for the entire model development lifecycle and innovative efficiency solutions for model execution, tailored to the unique challenges of machine learning in autonomous driving.We are seeking talented engineers with expertise in ML frameworks or ML systems to enhance computational efficiency in both cloud environments and vehicle systems. You will engage with the entire ML stack, from deep learning model architectures to accelerator runtimes, working alongside ML modeling teams to drive large-scale efficient model training and inference.

P-1124 Summary At Databricks, we are passionate about empowering data teams to tackle the world's most challenging issues, from detecting security threats to advancing cancer drug development. We achieve this by developing and maintaining the leading data and AI infrastructure platform, allowing our clients to concentrate on the critical challenges that define their missions. Our engineering teams are dedicated to creating highly sophisticated products that address genuine, vital needs in society. We continually explore the frontiers of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success on our platform. Clients trust Databricks with their most valuable data, and the Trust & Safety team is committed to establishing the most reliable data analytics and machine learning platform globally. Security Engineering plays a pivotal role within Trust & Safety, crucially safeguarding customer data from malicious threats. We seek senior leaders to craft the vision and define the strategy for this crucial domain. The impact you will have: Enhance the safety of Databricks for our customers by identifying and addressing critical gaps in our infrastructure and services. Attract top-tier talent from across the industry. Serve as a key advocate for the security engineering discipline throughout the organization, promoting a data-driven approach. Represent Databricks at academic and industry conferences and events.

The Enterprise Applications team at Databricks is embarking on an exciting journey to revolutionize our business operations. Our objective is to create robust, in-house platforms and AI-driven capabilities that deliver a substantial competitive edge, facilitating our next significant growth in size and revenue. As a Staff Software Engineer within the Enterprise Applications team, you will be pivotal in delivering comprehensive applications that enhance our business operations and equip our employees with genuinely assistive technologies. Your role will involve defining the technical roadmap, designing essential software systems, elevating engineering excellence, mentoring junior engineers, and addressing the most pressing technical challenges our team faces. You will serve as the technical lead for a group of software engineers.

About UsAurora Innovation is dedicated to advancing the future of transportation through the safe and swift implementation of self-driving technology. Our flagship product, The Aurora Driver, aims to revolutionize mobility and logistics, ensuring a safer, more efficient, and accessible future for all.At Aurora, you'll solve intricate challenges alongside a team of passionate and talented individuals, enhancing your expertise while broadening your knowledge. Stay updated with our latest news at aurora.tech or follow us on LinkedIn.We are on the lookout for a remarkable Staff Backend Software Engineer to join our Aurora Services Engineering team. In this pivotal role, you will contribute significantly to the development of our suite of fleet management tools.The Aurora Services Engineering team specializes in creating full-stack solutions, including backend services, web applications, mobile applications, and real-time onboard code, facilitating the commercial operation of autonomous vehicle fleets at scale. Our goal is to develop the software that drives the commercial aspects of our platform, including task assignment for autonomous vehicles, remote support, fleet management, and customer order processing. As we gear up for substantial fleet expansion and API integration with partners, the tools we create are essential for the efficient daily operation of our business.As a Staff Backend Software Engineer, you will work on solutions for autonomous vehicle terminal operations, focusing on launching and landing vehicles at locations owned by Aurora and its major customers. You will be responsible for enhancing existing products and developing entirely new features, making a considerable impact on the efficiency of terminal operations at Aurora.

About UsGatik is at the forefront of transforming the B2B supply chain through our innovative autonomous middle-mile logistics. Our transportation-as-a-service (ATaaS) solution emphasizes safety, consistency in deliveries, and the efficient movement of freight, reducing congestion for our partners. In 2021, we proudly launched the world’s first fully driverless commercial transportation service in collaboration with Walmart, utilizing our Class 3-7 autonomous trucks that are actively deployed across major markets including Texas, Arkansas, and Ontario, Canada.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to facilitate safe and efficient freight transport between pick-up and drop-off points on the middle mile. With its advanced capabilities tailored for both highway and urban environments, Gatik Carrier™ seamlessly integrates advanced software and hardware to enhance our clients' logistics operations.Job OverviewWe are looking for a skilled Reliability and Risk Engineer to spearhead the analysis, prediction, and enhancement of the reliability and safety of our autonomous trucking systems. In this role, you will collaborate across hardware, software, and systems teams to uncover failure modes, assess associated risks, and inform design decisions through data-driven approaches employing advanced statistical techniques.This position requires your presence onsite at our Mountain View, CA or Fort Worth, TX office five days a week!

Who We AreNuro is pioneering self-driving technology with the goal of making autonomy available to everyone. Established in 2016, Nuro is developing the world's most scalable autonomous driver, integrating advanced AI with automotive-grade hardware. Our core technology, the Nuro Driver™, is licensed for a variety of uses, ranging from robotaxis and commercial fleets to personal vehicles. With years of successful self-driving operations behind us, Nuro is paving the way for automakers and mobility platforms to implement autonomous vehicles at commercial scale, fostering a safer, more connected future.About the RoleAs a Senior/Staff Systems Engineer focusing on Autonomy Verification, your key responsibility will be to ensure the Nuro Driver's safety for deployment within our defined Operational Design Domain (ODD) and adherence to traffic regulations. This role requires a background in autonomous systems development or validation and a collaborative spirit to work effectively with diverse teams including Autonomy Software, Simulation, Product, and Operations. You will hold comprehensive ownership from defining requirements to designing metrics and developing test strategies.About the WorkEstablish requirements for the autonomous system to guarantee safe operation within its ODD and compliance with traffic laws.Develop metrics and acceptance criteria to confirm that the autonomous system meets these requirements, leveraging established safety standards and methodologies.Utilize a variety of testing strategies - synthetic and log simulations, on-road logs, closed-course tests, and third-party accident reconstructions - to validate requirements.Work closely with teams in Behavior, Perception, Data Science, Product, Legal, and Public Trust to formulate acceptance criteria for metrics and tests.Collaborate with simulation infrastructure and test integration teams to establish automated verification workflows.Assess the coverage of tests for our ODD, ensuring realism and relevance in simulations for deployment. Connect test outcomes as evidence supporting the Autonomy Safety Case.

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, Waymo has established the Waymo Driver—The World’s Most Experienced Driver™—with a mission to enhance mobility access and save lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated across various vehicle platforms and applications. Having completed over ten million rider-only trips, our technology has driven more than 100 million miles on public roads and tens of billions in simulations across over 15 U.S. states.The Perception team is responsible for developing systems that learn the spatial-temporal representations and semantic meanings of the environment surrounding our autonomous vehicles (AVs). We collaborate closely with downstream teams to optimize and integrate our work into the Waymo Driver, conduct research to solve real-world challenges, and work alongside research teams at Alphabet. With access to millions of miles of diverse driving data from various sensors, we empower engineers like you to (1) create methods for efficient continuous learning from extensive real-world data, (2) develop scalable models and training methodologies, (3) analyze real-world behaviors to create systems that can navigate complexities, and (4) optimize models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.