Software Engineer, Offboard Infrastructure

At Waymo, we are at the forefront of autonomous driving technology, striving to become the world’s most trusted driver. Since our inception as the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World's Most Experienced Driver™. Our mission is to enhance mobility access while potentially saving thousands of lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and applications. With over ten million rides completed, our technology has driven more than 100 million miles on public roads and tens of billions in simulation across 15+ states in the U.S.We are looking for innovative and collaborative individuals to join our Hardware Engineering team, which includes electrical, mechanical, reliability, software, and vehicle engineers. Together, we design, build, and refine the products that serve as the eyes and ears of Waymo's autonomous driving technology, integrating them into our vehicle platforms. If you are curious and talented, we want you on our team!This position follows a hybrid work model, and you will report to the Tech Lead Manager of the Sensor Software Team.

Join Waymo, a leader in autonomous vehicle technology, as a Software Engineer focused on Sensor/Vehicle Testing and Calibration. In this role, you will be integral to enhancing our vehicle systems and ensuring optimal performance through rigorous testing and calibration processes. Your expertise will contribute to the development of cutting-edge technologies that aim to revolutionize transportation.

Role overview This Senior Software Engineer position at Aurora Innovation focuses on sensor infrastructure for autonomous vehicles in Mountain View, California. The role centers on building and improving sensor technologies to ensure they operate reliably in real-world scenarios. Daily work involves designing, implementing, and refining sensor systems that are critical to the performance of autonomous vehicles. What you will do Develop and optimize software to integrate sensors into autonomous vehicles Create solutions that enhance the performance and reliability of sensor systems Work closely with engineers from other teams to maintain seamless sensor operations Requirements Significant experience in software development, particularly with sensor systems Proven ability to design and implement complex technical solutions Strong collaboration skills and a commitment to advancing autonomous vehicle technology

About Us Nuro is a pioneering self-driving technology firm focused on democratizing autonomy for everyone. Established in 2016, we are on a mission to create the world's most scalable autonomous driver. Our innovative approach blends advanced AI with automotive-grade hardware, allowing us to license our core technology, the Nuro Driver™, across diverse applications including robotaxis, commercial fleets, and personal vehicles. Our proven technology, tested through numerous self-driving deployments, provides automakers and mobility platforms with a clear path to commercial-scale autonomous vehicles, fostering a safer, more connected future. Position OverviewWe are excited to expand our robotics team and are seeking a talented Senior Software Engineer to join our Sensor Data and Calibration unit. The ideal candidate will possess a strong background in robotics and machine learning, with a focus on developing sophisticated synthetic sensor simulation models and algorithms. Experience in research, development, and application of machine learning techniques (such as NeRF or Gaussian splatting) for generating synthetic sensor data, including photorealistic images and realistic LiDAR or radar outputs, is essential. Key Responsibilities Research and create cutting-edge synthetic sensor simulation methodologies. Evaluate and characterize the realism and effectiveness of synthetic sensor data. Address essential inquiries regarding sensor data and autonomous performance. Collaborate with various teams across autonomy, infrastructure, and systems to define mapping requirements. Qualifications One of the following: PhD in machine learning, computer science, electrical engineering, robotics, or a related field, with 3+ years of industry experience. Master's degree with 4+ years of industry experience. 5+ years of industry experience. In-depth knowledge of machine learning fundamentals with practical experience in training and assessing contemporary ML models. Proficient in Python, with experience in deep learning frameworks such as PyTorch, TensorFlow, or JAX. Preferred Qualifications Strong grasp of 3D geometry and state estimation principles. Experience in systems-level coding. Familiarity with simulating and modeling real sensors (camera, LiDAR, radar, IMU, etc.), including noise modeling. Expertise in modern ML graphics techniques, such as NeRF, Gaussian Splatting, and/or generative models.

About UsAurora Innovation is on a mission to revolutionize transportation through self-driving technology, ensuring safety and accessibility for everyone.Our innovative product, the Aurora Driver, is set to transform mobility and logistics, leading to a safer and more efficient future.Join us and tackle complex challenges alongside passionate experts in a collaborative environment. For the latest updates, visit aurora.tech or follow us on LinkedIn.Position OverviewWe are seeking a talented Senior Hardware Reliability Engineer to join our Hardware Reliability team. This pivotal role involves ensuring the reliability of our next-generation sensor systems, including Lidar, Camera, Radar, and IMU, vital for the Aurora Driver. You will collaborate with industry leaders such as Volvo and PACCAR to bring a robust, scalable product to market.

About UsAurora Innovation is on a mission to revolutionize the world of transportation with safe, rapid, and accessible self-driving technology.The Aurora Driver will usher in a transformative era in mobility and logistics, creating a safer, more efficient, and more accessible future for all.At Aurora, you will engage with complex challenges alongside a team of passionate and intelligent individuals, fostering your expertise while broadening your knowledge. For the latest updates from Aurora, visit aurora.tech or follow us on LinkedIn.Aurora is seeking a talented Senior Mechanical Design Engineer specializing in Sensor Cleaning Systems to help us build a transportation ecosystem that enhances road safety, ensures timely delivery of essential goods, and promotes efficient and accessible mobility for everyone.The HPE Mechanical Design team is tasked with developing all custom hardware modules in the Aurora Driver Kit (ADK), which includes Compute modules, Sensor Pods, and Lidar systems. This collaborative team works across various functions, including Electrical Engineering, layout design, computer-aided engineering (CAE), reliability testing, electromagnetic compatibility (EMC), new product introduction (NPI), operations, and other R&D teams, to deliver robust and scalable electro-mechanical solutions that empower the Aurora Driver. Our team is involved from the earliest stages of product conception and technology exploration, all the way through to mass production with our manufacturing partners.The ideal candidate should possess substantial experience in developing electromechanical systems that ensure sensor cleanliness in challenging weather and environmental conditions. They should have a comprehensive understanding of the entire development process, from initial design through functional verification to scaling manufacturing for market release. A proven track record of design ownership in delivering automotive hardware within the Advanced Driver Assistance Systems (ADAS) or Autonomous Vehicles (AV) sector is essential. This role focuses on enhancing and advancing the Aurora sensor cleaning system, collaborating with perception, sensor, and product teams to create robust solutions.

Waymo, originally launched as the Google Self-Driving Car Project in 2009, has become a leader in autonomous driving. The company’s technology has powered over ten million rider-only trips and logged more than 100 million miles on public roads, with extensive simulation testing across more than 15 U.S. states. Waymo focuses on fully autonomous ride-hail services and adapts its technology to various vehicle platforms, aiming to improve mobility and road safety. The Hardware Engineering group at Waymo brings together experts in electrical, mechanical, reliability, software, and vehicle engineering. This team is responsible for designing, building, and refining the sensory systems that help autonomous vehicles perceive their environment. Team members value collaboration and curiosity as they integrate new technologies into vehicle platforms. Role overview The Sensor Electrical Engineer will join the Hardware/Sensor team and report to the Sensors Hardware Lead. This hybrid role is based in Mountain View, CA. What you will do Oversee the entire product life cycle for sensor technologies, from initial design and development through to mass production. Collaborate closely with cross-functional teams, including software, mechanical, and manufacturing partners, to deliver reliable and innovative engineering solutions. Location and work model This position is located in Mountain View, CA and follows a hybrid work schedule.

Waymo is a pioneering company in autonomous driving technology, committed to becoming the most reliable driver in the world. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated its efforts to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and is adaptable to various vehicle types and applications. With over ten million rides completed, the Waymo Driver has successfully navigated more than 100 million miles on public roads and tens of billions of miles in simulations across 15+ U.S. states.The Software Engineering team at Waymo creates the intelligence behind our cutting-edge autonomous driving technology. Our software enables the Waymo Driver to accurately perceive its surroundings, make informed decisions, and transport passengers safely to their destinations. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning while collaborating closely with hardware and systems engineers. If you are an innovative software engineer or researcher passionate about Level 4 autonomous driving, we would love to connect with you.In the Sensor Health team within Perception, we ensure that our sensor systems operate flawlessly within the self-driving car framework. We are responsible for the calibration and constant monitoring of our sensors. As pioneers, we frequently process data from next-generation sensors integrated into advanced vehicle platforms and collaborate with hardware and software teams to guarantee optimal sensor data for our upstream customers. Our initiatives include developing sensor data alignment and calibration algorithms, enhancing our sensor health backend, and deploying our systems within the Waymo Driver and our logging infrastructure.

Who We AreGatik is at the forefront of autonomous middle-mile logistics, transforming the B2B supply chain with our cutting-edge autonomous transportation-as-a-service (ATaaS) solution. Our mission is to ensure safe and consistent deliveries while optimizing freight movement and minimizing congestion. We focus on short-haul logistics, partnering with Fortune 500 retailers. In 2021, we proudly launched the world’s first fully driverless commercial transportation service in collaboration with Walmart. Our Class 3-7 autonomous trucks are now operational in key markets such as Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is designed to transport freight with safety and efficiency between pick-up and drop-off points in the middle mile. With exceptional performance in both highway and urban settings, Gatik Carrier™ is an integrated solution that combines advanced software and hardware, seamlessly incorporating into our customers' logistics operations.About the RoleWe are excited to welcome a Senior/Staff Software Engineer to our Localization team, tasked with creating state-of-the-art sensor fusion solutions that integrate data from various sensors and localization algorithms that operate in real time with maps. We seek exceptional talent who shares our enthusiasm and wishes to contribute to a dynamic, execution-focused team. In this role, you will be pivotal in developing robust, real-time localization solutions, utilizing real-time sensor data to attain high precision in diverse and challenging environments.This position requires onsite presence five days a week at our Mountain View, CA office!

Cranial Technologies specializes in the research and treatment of plagiocephaly, commonly called flat head syndrome. With over 300,000 infants treated using pediatric cranial shaping orthoses, the company has become a recognized leader in this area. In addition to cranial care, Cranial Technologies offers the EarWell® system, a non-surgical approach for correcting infant ear shapes. This method has resulted in more than 600,000 successful outcomes, providing families with a trusted, non-invasive solution. Families rely on Cranial Technologies for attentive care, strong results with the DOC Band® and EarWell®, and ongoing support for babies and caregivers. Role overview This full-time, hourly position is based in Mountain View, California. As a Baby Imaging Specialist, the role involves working directly with infants and their families, assisting the clinical team, and helping ensure a positive experience throughout each stage of treatment. What you will bring Warm, attentive customer service skills Comfort using technology and imaging equipment A genuine love for working with babies Many Baby Imaging Specialists have backgrounds in childcare (such as daycare or nanny roles), education (including teaching or preschool), or high-end retail. These experiences often translate well to the supportive and hands-on nature of the position.

About Us:Aeva is at the forefront of revolutionizing perception technology across various sectors, including automated driving, industrial robotics, consumer electronics, healthcare, and security. Our innovative integration of LiDAR components onto a silicon photonics chip enables us to deliver compact yet powerful 4D LiDAR sensors. These sensors not only provide precise 3D positioning but also detect instantaneous velocity, empowering autonomous devices such as vehicles and robots to make safer and smarter decisions.Role Overview:We are looking for a skilled Senior Systems Engineer to play a pivotal role in the development and lifecycle management of our cutting-edge Lidar sensor products. This position demands expertise in applying comprehensive systems engineering methodologies to ensure compliance with stringent automotive standards. You will take charge of creating and maintaining work products that meet ASPICE, Functional Safety (ISO 26262), and Cybersecurity (ISO/SAE 21434) standards, ensuring thorough requirements traceability and robust analysis. Ideal candidates will possess a solid background in sensor technology, proficiency with systems engineering tools, and a firm understanding of automotive systems standards.

Waymo is seeking a highly skilled Senior Research Scientist to join our innovative team focused on sensor simulation. In this role, you will be responsible for developing cutting-edge simulation technologies that enhance our autonomous vehicle systems.Your expertise will contribute to improving the accuracy and efficiency of our simulations, playing a crucial role in the advancement of self-driving technology. You will collaborate with cross-functional teams to drive innovation and ensure our systems are at the forefront of the industry.

Waymo is a pioneering technology company focused on autonomous driving, aiming to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. Our technology powers a fully autonomous ride-hailing service and can be integrated across various vehicle platforms and applications. The Waymo Driver has successfully completed over ten million rider-only trips, leveraging experience from over 100 million miles driven autonomously on public roads and billions more in simulation across more than 15 U.S. states.Our Software Engineering team designs the intelligent systems behind Waymo’s autonomous driving capabilities. Our software enables the Waymo Driver to sense its surroundings, make informed decisions, and transport passengers safely. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a passionate software engineer or researcher with curiosity for Level 4 autonomous driving, we want to connect with you.In this hybrid position, you will report to the Technical Lead Manager.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most reliable 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 access and significantly reduce the number of lives lost to traffic accidents. The Waymo Driver underpins our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has autonomously navigated more than 100 million miles on public roads and billions in simulation across over 15 U.S. states.The Perception team is responsible for creating systems that learn the spatial-temporal representation and semantic meanings of the self-driving car's environment. Our work involves close collaboration with downstream teams for optimization and integration with the Waymo Driver. We engage in innovative research to tackle real-world challenges while partnering with Alphabet's research teams. With access to extensive driving data from diverse sensors, our engineers are equipped to (1) devise methods for continuous learning from vast real-world datasets, (2) develop scalable models and training processes, (3) analyze real-world behaviors to manage complex interactions, and (4) optimize models for both onboard and offboard hardware.Within the Perception domain, our Sensor Pipelines team addresses a variety of real-world challenges beyond mere object detection, including weather conditions, road surface understanding, visibility, and the identification of exceptional events surrounding the vehicle. These pipelines encompass a wide range of sensing technologies while integrating throughout the Perception stack and collaborating with planning components.In this hybrid role, you will report to a Director and lead a team of engineers dedicated to Perception machine learning pipelines.Your Responsibilities:Oversee large teams of software engineers tackling diverse Perception product challenges through machine learning, focusing on team development and recruitment to foster resilient, high-performing teams.Guide the team in designing top-tier machine learning solutions in partnership with Technical Leads, nurturing an environment of excellence and high achievement.Act as the team's representative within the broader Perception and Onboard group, collaborating with other leaders on staffing and strategic planning. Establish team Objectives and Key Results (OKRs) and formulate actionable plans to achieve them.

About Nuro Nuro is a pioneering self-driving technology firm dedicated to making autonomous driving accessible to everyone. Established in 2016, we are developing the world’s most scalable driver by merging advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, from robotaxis to commercial fleets and personal vehicles. With years of proven self-driving deployments, we offer automakers and mobility platforms a clear path to achieving commercial-scale autonomous vehicles, enhancing safety and connectivity for a better future. Join Our Team Our team is committed to empowering engineers to revolutionize transportation by equipping them with the tools and infrastructure necessary for productivity and success. We aim to achieve this through: Identifying and resolving engineering process challenges. Creating innovative tools and infrastructure for enhanced efficiency. Educating engineers on best practices. Utilizing cutting-edge technologies to amplify productivity. Our passionate engineers are dedicated to solving complex problems and making a positive impact on the future of transportation. Role Overview Collaborate with engineers across Nuro to pinpoint inefficiencies in the engineering workflow. Define, analyze, and monitor metrics relating to engineering velocity and system health. Innovatively address daily developer challenges by creating new tools or enhancing existing ones. Develop scalable infrastructure for continuous code integration, testing, and release, while optimizing for coverage, speed, and cost, addressing the unique complexities of Nuro’s machine learning and hardware tests. Oversee and enhance essential libraries and APIs for interaction with complex systems, managing code dependencies and the overall structure of Nuro’s codebase. Utilize Generative AI to enhance engineering productivity. Provide guidance to developers on best practices and newly implemented tools.

About the Role Nuro is looking for a Middleware Software Engineer to help advance autonomous delivery systems at our Mountain View headquarters. This role focuses on building and refining middleware that supports system performance and reliability. What You Will Do Work with teams across engineering to design, develop, and implement middleware components Contribute to solutions that strengthen performance and reliability of Nuro’s autonomous delivery technology Location This position is based in Mountain View, California.

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.

At Reliable Robotics, we are pioneering cutting-edge technology that enhances safety in aviation, with the ultimate goal of saving lives. Our automated aviation systems are set to transform air transportation, making it safer and more convenient for the movement of goods and eventually people around the globe. We are a dedicated team of engineers with diverse backgrounds in aerospace, robotics, and self-driving technology, all working towards this ambitious future.As a Displays Software Engineer, you will play a crucial role within our remote piloting software team. This team is tasked with developing the pilot-facing application software used to command our advanced aircraft automation systems, both onboard and remotely. You will collaborate with a talented group of interdisciplinary engineers, leveraging your expertise to drive innovation in aviation technology.Key ResponsibilitiesIn this position, your primary responsibility will be to design, architect, and implement various real-time user interface applications for controlling our automated aircraft systems. These applications may include browser-based solutions and real-time embedded UIs on aviation-grade hardware. Your work will support our efforts to create a fully certified system in multiple ways: by providing a platform for rapid prototyping, facilitating our experimental test flight programs, and serving as a reference implementation for certified displays and controls. You will have end-to-end ownership of the application lifecycle, collaborating with software engineers, designers, systems engineers, and pilots to create safe, user-centered, and certifiable systems.

At Logos Space, we are pioneering Low Earth Orbit (LEO) satellite systems designed to meet the connectivity demands of commercial enterprises and government entities alike. Our mission is to bridge significant gaps in the market by delivering robust, high-performance satellite connectivity services globally. Our business clients rely on performance standards for their broadband services, and we are committed to embedding these capabilities from the outset. With a focus on speed and reliability, our systems are engineered to extend cloud and data center connectivity to fixed, seaborne, and airborne terminals worldwide.Led by a team of seasoned engineers with impressive track records in the networking and satellite sectors, Logos Space is at the forefront of innovative technology.Position SummaryAs a Senior Flight Software Engineer, you will play a vital role within our software engineering team, focusing on the design, development, flight validation, assembly, integration, testing, and operational success of our spacecraft fleet. Your responsibilities will include ensuring the validation of flight avionics on both the Logos bus and payload, which is essential for the success of our network through rigorous analysis and testing. You will also support architectural design activities from conception to flight readiness.We are looking for engineers who thrive in a dynamic environment and are adept at transforming abstract design concepts into tangible, flight-ready hardware. If you have a passion for solving complex challenges, we want to hear from you!

Waymo, an innovative leader in autonomous driving technology, aims to become the world's most trusted driver. Established in 2009 from the Google Self-Driving Car Project, Waymo focuses on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver facilitates our fully autonomous ride-hail service and is adaptable to a variety of vehicle platforms and use cases. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, along with extensive simulation across 15+ U.S. states, Waymo is redefining transportation.The Planner Evaluation team is at the forefront of addressing one of the critical challenges in autonomous driving: assessing and enhancing the quality of the software that operates the vehicles. We are in search of skilled data-centric software engineers and data scientists who are eager to improve our methodologies for characterizing and evaluating modifications to the onboard software stack. If you're enthusiastic about autonomous vehicles and utilizing complex data to inform decision-making, this is the ideal opportunity for you!This hybrid role will report to an Engineering Manager.Your responsibilities will include:Developing metrics to evaluate the performance and driving characteristics of the Waymo Driver using various techniques such as statistics, mathematics, physics, algorithms, and machine learning.Utilizing simulations creatively while analyzing real-world driving logs to assess driving performance.Designing and implementing methods to establish a robust connection between onboard software modifications and simulated results.Promoting code health and adherence to best practices within a large and intricate codebase.Analyzing data to provide actionable insights on enhancing metric quality and interpretability.Collaborating with fellow engineers, data scientists, statisticians, and leadership to produce evaluation tools and support data-driven decisions.