Onboard Frameworks Software Engineer

Waymo, a pioneering autonomous driving technology company, is on a mission to become the most reliable driver in the world. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to creating the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and save countless lives currently lost to traffic accidents. The Waymo Driver is the backbone of Waymo’s fully autonomous ride-hailing service and is adaptable across various vehicle platforms and use cases. Having completed over ten million rider-only trips and accumulated over 100 million miles of autonomous driving on public roads, alongside tens of billions of miles in simulation across 15+ U.S. states, Waymo is at the forefront of this transformative technology.The Onboard Frameworks Team is essential in providing the foundational components necessary for developing Waymo's onboard software ecosystem. This team collaborates closely with onboard engineers to design, implement, and deploy critical APIs, streamline development workflows, and provide tools that significantly enhance the development speed across the organization.

About UsAt Aurora, our mission is to advance the future of transportation by delivering self-driving technology that is safe, efficient, and accessible to all.Discover The Aurora Driver - a revolutionary platform that aims to transform mobility and logistics, enhancing road safety and accessibility.Joining Aurora means collaborating with a team of passionate experts who tackle complex challenges and continuously strive for excellence. To stay updated with our latest innovations, visit aurora.tech or follow us on LinkedIn.Aurora is committed to building a diverse team of talented individuals dedicated to creating a safer transportation ecosystem and improving the efficiency of goods delivery.We are currently seeking a highly motivated and experienced Staff Software Engineer to join our Autonomy Frameworks team. In this pivotal role, you will contribute to the development of our core robotics middleware that powers the Aurora Driver. Your work will focus on optimizing the performance, determinism, and efficiency of our Autonomy and Simulation applications. This is a unique opportunity to make a significant impact on the safety and reliability of our self-driving technology.

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 been relentless in its mission to develop the Waymo Driver—The World's Most Experienced Driver™. This innovative technology aims to enhance mobility access and significantly reduce traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hail service, having successfully completed over ten million rider-only trips, driven more than 100 million miles on public roads, and engaged in tens of billions of miles in simulation across more than 15 states in the U.S.The Onboard Infrastructure Team plays a crucial role in the design and development of the fundamental infrastructure for Autonomous Driving Vehicle (ADV) systems, which includes critical components such as perception, planning, and routing functionalities. This team is responsible for defining the architecture and frameworks necessary to implement these essential systems. Additionally, the team oversees the entire runtime environment for both on-car systems and large-scale simulations, ensuring optimal performance, reliability, and an exceptional developer experience throughout the development lifecycle. This is a hybrid position, reporting to a Staff Engineer, Tech Lead Manager.In this hybrid role, you will report to a Staff Software Engineer / TLM.Your Responsibilities:Lead architectural and framework enhancements to improve driving quality, performance, reliability, and overall developer experience.Comprehensively understand the Waymo code lifecycle—from deployment on autonomous vehicles to conducting large-scale simulations—to ensure top-tier quality across all operational environments.Design, implement, and deploy essential C++ APIs that handle critical functions such as asynchronous management, experimentation pipelines, multi-platform deployments, complex data extraction, debugging tools, and advanced system visualization.Act as a pivotal resource for onboard teams, assisting them in optimizing software setups for maximum efficiency, flexibility, scalability, and reliability, ensuring alignment with Waymo's rapidly evolving requirements.Enhance our internal tools, infrastructure, and development processes to accelerate engineering velocity while maintaining stringent control over system complexity, performance, reliability, and developer experience.

Role Overview Nuro is looking for a Software Engineer focused on Onboard Systems to help build and refine the software powering autonomous delivery vehicles. This position is based at Nuro's headquarters in Mountain View, California. What You Will Do Design and implement software for onboard vehicle systems Work closely with team members to improve reliability and efficiency of onboard technology Contribute to the development of solutions that support autonomous vehicle operations Collaboration Work alongside engineers and other specialists who are committed to advancing autonomous delivery. Expect to share ideas, solve problems together, and help shape the future of Nuro's onboard systems.

Who We Are Nuro is at the forefront of self-driving technology, committed to making autonomy accessible to everyone. Since our inception in 2016, we have been developing the world's most scalable autonomous vehicle driver, merging advanced AI with robust automotive hardware. Our flagship technology, the Nuro Driver™, is licensed across various applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven technology from self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, richer, and interconnected future. About the Role As our software team expands, we are seeking skilled engineers to play a pivotal role in one of the following areas: Onboard Systems, Performance, or Devices Platform. Onboard Systems: Our onboard systems team develops reliable and high-performance platforms that enable integration of autonomy software and algorithms across various self-driving platforms. This role necessitates close collaboration with software, hardware, and systems/safety teams to ensure seamless and safe integration of new software and hardware, while addressing onboard errors and performance challenges. Performance: The Performance team is dedicated to optimizing Nuro’s AV software, ensuring our vehicles can respond quickly and safely to their environments. This team creates systems and tools for continuous performance analysis while driving efforts in latency reduction and resource efficiency to support our autonomy teams in implementing an effective autonomy stack for current and future generations of the Nuro Driver. Devices Platform: The Devices Platform team lays the groundwork for Nuro’s onboard software related to our sensor and compute platform, including device drivers, inter-device protocols, and runtime APIs. We are creating a hardware-agnostic platform for the perception and autonomy software stack, maximizing the reliability, quality, and performance of our sensor and compute hardware. This team collaborates with internal and external stakeholders to define, evaluate, and integrate next-generation hardware platforms for Nuro’s products while developing necessary tooling for continuous testing and validation. About You You possess substantial expertise and experience in several of the following areas:

Databricks is hiring an Engineering Manager for the Application Frameworks group in Mountain View, California. This position leads a team focused on designing and improving frameworks that help businesses unlock greater value from their data. The team’s work emphasizes scalable solutions that enhance both usability and performance for Databricks users. Role overview This manager guides a team of engineers dedicated to building application frameworks. The work involves close collaboration with partners across the company to define project goals and requirements. Managing project timelines and ensuring that deliverables meet Databricks quality standards are key parts of the role. Creating an environment where team members can innovate and perform at a high level is central to success. What you will do Lead and support an engineering team working on application frameworks Collaborate with cross-functional partners to set project direction and requirements Oversee project schedules and ensure outcomes align with company standards Encourage a culture of collaboration and innovation within the team Requirements Proven experience managing technical teams, preferably in software or application development Interest in data, AI, and building tools that simplify complex systems Skill in setting priorities and guiding teams to achieve ambitious goals This role suits those interested in building and scaling frameworks that influence the future of data and AI at Databricks.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from Google's Self-Driving Car Project in 2009, Waymo has been tirelessly developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to diverse vehicle platforms and applications. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, Waymo continues to lead the industry in safety and efficiency.As a member of the Onboard Software Performance team, you will play a crucial role in ensuring that systems operating on Autonomously Driven Vehicles (ADV) adhere to stringent performance standards. This includes delivering essential outputs within strict latency constraints while optimizing the allocation of computing resources (CPU/GPU/TPU/RAM) for each submodule, all while maintaining high reliability and supporting rapid system evolution.

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’s goal is to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver—The World’s Most Experienced Driver™—powers our fully autonomous ride-hailing service, having completed over ten million rider-only trips and traveled more than 100 million miles on public roads across 15+ U.S. states.The Planner/Perception Reliability team is dedicated to developing architectures, tools, and workflows that proactively address reliability challenges. Our focus is on ensuring the health of onboard software while maintaining high velocity in development.In this hybrid role, you will report to a Staff Software Engineer/Tech Lead Manager.Your Responsibilities Include:Designing the foundational architecture for onboard reliability, creating essential infrastructure and tools that enhance the robustness and reliability of onboard software.Gaining a comprehensive understanding of system behavior, implementing concise, low-noise metrics that provide immediate insights into vehicle and overall fleet performance.Collaborating across teams at Waymo to streamline reliability workflows, ensuring our business-critical operations run smoothly and safely at scale.Developing systems for proactive anomaly detection and automation of clustering, significantly easing the management of reliability and enabling early issue detection.

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.

Who We Are Nuro is a pioneering self-driving technology firm dedicated to making autonomous vehicles accessible to everyone. Established in 2016, we are developing the world’s most scalable autonomous driving system, merging advanced AI with high-quality automotive hardware. Our flagship technology, the Nuro Driver™, is licensed to enable various applications, including robotaxis, commercial fleets, and personal vehicles. With years of successful self-driving implementations, Nuro empowers automakers and mobility platforms to transition to autonomous vehicles at a commercial scale—ushering in a safer, more connected future. About the Role We are in search of a talented Autonomy Engineer with a focus on onboard autonomy—the software that operates on our robots and vehicles, making real-time decisions based on onboard sensors and computational resources. You will be responsible for developing and deploying reliable autonomy features that function under stringent latency, computational, and safety requirements in dynamic real-world environments. What You’ll Do Design, integrate, and implement onboard autonomy behaviors such as navigation, obstacle avoidance, lane and route following, docking, and interaction behaviors. Develop and maintain components for real-time decision-making, including behavior planning, state machines/behavior trees, local planning, and control interfaces. Create robust sensor-driven autonomy pipelines on-device (using camera, lidar, radar, IMU, wheel odometry, GNSS), ensuring synchronization, calibration, and fault handling. Optimize autonomy performance concerning latency, CPU/GPU utilization, memory, and power on embedded systems such as NVIDIA Jetson and custom ECUs. Design and implement safety measures and fallback strategies, including health monitoring, degraded operational modes, watchdog systems, safe-stop protocols, and redundancy-aware logic. Oversee the integration of the autonomy stack on robotic platforms, including bring-up, debugging, profiling, logging, and release validation on actual hardware. Enhance onboard observability through structured logs, traces, metrics, event recording, and tools to facilitate incident reviews and quick iterations. Collaborate with teams in perception, mapping/localization, controls, hardware, and systems to establish clear interfaces and deliver comprehensive features. Engage in field testing and conduct root-cause analysis for autonomy issues encountered during real deployments.

Waymo is a trailblazer in autonomous driving technology, dedicated to becoming the most trusted driver in the world. Originating as the Google Self-Driving Car Project in 2009, our mission has been to develop the Waymo Driver—The World’s Most Experienced Driver™—which enhances mobility access and aims to save thousands of lives currently lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated across various vehicle platforms and product applications. With over ten million rider-only trips, our technology has been validated through more than 100 million miles of autonomous driving on public roads and tens of billions in simulation across 15+ U.S. states.As a Technical Program Manager at Waymo, you will play a pivotal role in executing our roadmap by fostering effective cross-functional planning, ensuring clarity, and proactively managing risks. In a landscape filled with intricate technical and operational challenges lacking predefined solutions, you will act with a sense of urgency, driving critical conversations and outcomes. Collaborating closely with all functions at Waymo, you will structure, own, and propel the work necessary for real-world deployments of the Waymo Driver across platforms and regions.This position follows a hybrid work model and reports to a Technical Program Manager.

Waymo is seeking a Principal Software Engineer focused on Onboard Field Response to help advance autonomous driving technology. This position is based in Mountain View, CA. Role overview This role centers on improving how autonomous vehicles respond in real-world environments. The Principal Software Engineer will design and implement software for onboard systems, working to ensure vehicles operate smoothly and efficiently. What you will do Design and build software solutions for onboard field response Collaborate with cross-functional teams to integrate and refine technology Contribute to the ongoing innovation of Waymo's autonomous vehicle systems Requirements Expertise in software engineering and a strong background in developing solutions for complex systems are essential for this role.

Join Waymo as a Senior Software Engineer specializing in Onboard Software Integrity Infrastructure. In this role, you will develop and enhance software systems that ensure the reliability and safety of our autonomous vehicle technology. You will collaborate with cross-functional teams to design and implement solutions that uphold the highest integrity standards in software performance.

Who We AreNuro is a pioneering self-driving technology firm dedicated to making autonomous driving accessible to everyone. Established in 2016, Nuro is at the forefront of developing the most scalable driver, merging advanced AI with automotive-grade hardware. We license our innovative core technology, the Nuro Driver™, to facilitate diverse applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven success in self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to commercial-scale AVs, fostering a safer, more connected future.About the RoleAs our software team expands, we are on the lookout for skilled engineers to play a vital role in one of the following domains: Onboard Systems, Performance, or Devices Platform.Onboard Systems: Our onboard systems team develops a robust and high-performance platform enabling our autonomy teams to integrate their software and algorithms across various self-driving platforms. This role necessitates close collaboration with software, hardware, and systems/safety teams to ensure seamless integration of new software and hardware, addressing onboard errors and performance challenges.Performance: The Performance team focuses on optimizing the efficiency of Nuro’s AV software, ensuring that our vehicles respond swiftly and safely to their surroundings. This team builds systems and tools for ongoing performance analysis and spearheads efforts to reduce latency and enhance resource efficiency, enabling autonomy teams to implement a high-performing autonomy stack for both current and future iterations of the Nuro Driver.Devices Platform: The Devices Platform team is tasked with establishing the groundwork for Nuro’s onboard software concerning our sensor and compute platform, encompassing device drivers, inter-device protocols, and pipelines, as well as device runtime APIs. We are developing a hardware-agnostic platform for the perception and autonomy software stack, maximizing the reliability, quality, and performance potential of our sensor and compute hardware. This team also collaborates with internal stakeholders and external suppliers to define, evaluate, and integrate the next-generation hardware platform for Nuro’s products and develop essential tooling for continuous testing and validation.About YouYou possess significant expertise and experience in several of the following areas:

Waymo is a pioneering autonomous driving technology company dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access while saving lives that are currently lost to traffic accidents. The Waymo Driver facilitates our fully autonomous ride-hail service and is adaptable to a variety of vehicle platforms and product use cases. To date, we have completed over ten million rider-only trips, driven over 100 million miles on public roads, and performed tens of billions of miles in simulation across more than 15 U.S. states.The Waymo ML Frameworks & Efficiency team collaborates with both Research and Production teams to create core models in Perception and Planning essential to our autonomous driving software. We empower our partners by providing optimal frameworks throughout the model development lifecycle, encompassing both pre-training and post-training phases. Our frameworks are designed to efficiently scale models while addressing the unique challenges of machine learning in autonomous driving.We invite skilled engineers with expertise in machine learning systems to join us in refining and enhancing pre-trained models for deployment within the Waymo Driver and future products. You will collaborate with researchers and modeling engineers across the organization to tackle the complexities of large-scale reinforcement learning (RL), developing systems capable of scaling across various computational, data, and environmental contexts to enhance model intelligence and interpret human driving behaviors.

Moveworks seeks a Sales Enablement Specialist in Mountain View to help new sales team members get off to a strong start. The focus is on supporting onboarding and ramping, ensuring each new hire has the training, tools, and guidance to succeed from day one. Key responsibilities Design onboarding programs tailored for new sales hires Create resources and materials to help new team members become productive quickly Collaborate with sales leaders to identify training needs and track the impact of onboarding Refine and enhance the onboarding process to strengthen overall sales team performance Location This role is onsite in Mountain View.

Waymo is revolutionizing the future of mobility by creating the world's most trusted autonomous driving technology. Originally launched as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable to a variety of vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving autonomously over 100 million miles on public roads, coupled with simulation efforts spanning tens of billions of miles across more than 15 U.S. states, Waymo is at the forefront of safe autonomous driving.The Waymo Safety team is committed to continuously enhancing the safety of our autonomous driving systems. Our experts formulate safety objectives and strategies, conducting thorough safety engineering analyses to ensure that safety considerations are integrated into every phase of vehicle design and development. The team collaborates with regulatory bodies, lawmakers, law enforcement, and non-profit organizations to develop and advocate for safety policies specific to autonomous vehicles. We also play a crucial role in ensuring compliance with relevant environmental, health, and safety regulations.In this remote position, you will report directly to a System Safety Engineer.

At Intrinsic Robotics, a pioneering venture backed by Alphabet, we are on a mission to revolutionize industrial robotics. Our team is driven by the belief that breakthroughs in artificial intelligence, perception, and simulation will transform the landscape of industrial robotics, with software and data at the heart of this evolution. Our goal is to create intelligent, accessible, and user-friendly industrial robotics solutions for an expansive range of businesses, entrepreneurs, and developers. We pride ourselves on being a vibrant team of engineers, roboticists, designers, and technologists dedicated to unlocking the creative and economic potential of robotics.We invite you to apply if you're interested in software engineering positions but don't find a suitable match in our current listings. Our recruitment team will evaluate applications and connect with you if a relevant opportunity arises.Please note, if you apply to this posting, you may not receive a response.We particularly want to hear from you if:You believe in making robotics more accessible for the manufacturing sector.You are skilled in modern software development and have delivered a substantial volume of high-quality software.You thrive on tackling challenging problems in interactive full-stack software, AI, and robotics.You have experience (or a desire) in developing tools and user-friendly interfaces for robotic functionalities. Robot functionalities include, but are not limited to, APIs for creating, editing, and simulating robot workcells, scalable computing infrastructure for microservices, vision algorithms, multi-step task planning, motion and grasp planning, machine learning for complex tasks, and representations for Industry 4.0.

Nuro develops self-driving technology, aiming to make autonomous vehicles accessible for everyone. Since 2016, the team has blended advanced AI with automotive-grade hardware, licensing the Nuro Driver™ to support robotaxis, commercial fleets, and personal vehicles. Partnerships with automakers and mobility platforms help bring these autonomous solutions to commercial scale. The Senior Software Engineer - Software Update Infrastructure role is part of the Fleet Connectivity team based in Mountain View, California. This position focuses on building and maintaining systems that support release infrastructure and over-the-air (OTA) updates for Nuro’s autonomous vehicles. The work covers both cloud and robotics stacks, ensuring reliable network connectivity, telemetry, and software updates that are vital to Nuro’s mission. What you will do Design, build, test, deploy, and maintain software for release infrastructure and OTA updates. Manage project priorities, deadlines, and deliverables within the team and when working with other groups. Write high-quality, testable code that meets strict code quality standards. Monitor release system performance by defining and tracking KPIs, and implement optimizations to improve build costs, times, and storage usage. Create testing and validation programs to ensure system architecture and data flows are reliable. Contribute to documentation and participate in on-call rotations during business hours. Requirements 5+ years of experience working with large-scale distributed systems. Proficiency in C++ or Go. Comfortable working in Unix/Linux environments and with Bash scripting. Ability to translate broad requirements into detailed system designs. Strong knowledge of data structures, algorithms, and distributed system software design. Bachelor’s degree in Computer Science, Electrical Engineering, or a closely related field. Bonus points Experience with SQL. Familiarity with Google Cloud Platform (GCP). UI development experience. Background in OTA updates execution and management.

Role overview Nuro is looking for a Senior Middleware Software Engineer to help build and support the software that powers its autonomous delivery platform. This role focuses on developing and maintaining middleware systems that connect different parts of the technology stack. The work directly impacts the reliability and efficiency of Nuro’s services.