Senior Systems Test Engineer, Autonomy Behavior

Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has been at the forefront of advancing mobility solutions. Our flagship product, the Waymo Driver—The World’s Most Experienced Driver™, enhances access to safe transportation while significantly reducing traffic-related fatalities. This state-of-the-art driving system powers our fully autonomous ride-hailing service and is adaptable across a multitude of vehicle types and applications. Having completed over ten million rider-only trips and accumulated over 100 million miles driven autonomously on public roads, we are committed to redefining the future of transportation.Our Systems Engineering team is at the core of this innovation, merging software and hardware to set unparalleled performance benchmarks. We strive for excellence in vehicle operations, ensuring passenger safety while conducting rigorous testing to validate our systems. We seek enthusiastic team members who possess a collaborative spirit and a passion for impactful results.In this hybrid role, you will collaborate directly with a Senior Staff Test Engineer specializing in Driving Behaviors.

Join Waymo, a leader in autonomous vehicle technology, as a Senior Software Engineer specializing in Behavior Test Engineering. In this role, you will collaborate with cross-functional teams to design, develop, and implement robust test frameworks that ensure the safety and reliability of our self-driving technology.Your expertise will contribute to creating innovative solutions that push the boundaries of what is possible in autonomous driving. You will be responsible for enhancing the testing processes and ensuring our software meets the highest standards of quality and performance.

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, dedicated to becoming the most reliable driver in the world. 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™—aimed at enhancing mobility access and saving thousands of lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and use cases. With over ten million rider-only trips delivered, our technology has demonstrated its capabilities through over 100 million miles driven autonomously on public roads and tens of billions of miles simulated across more than 15 U.S. states.Our Systems Engineering team plays a pivotal role in integrating software and hardware systems in innovative ways. We establish high-performance standards that guarantee the smooth operation of our vehicles and the safety of our passengers, followed by designing and executing tests to validate these performance metrics. We are on the lookout for passionate individuals who thrive in teamwork and are committed to achieving results.This position follows a hybrid work model and reports directly to the Manager of Systems Engineering, Driving Behaviors.

Waymo is at the forefront of autonomous driving technology, driven by a mission to become the world's most reliable driver. Since its inception as 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 traffic-related fatalities. Our innovative Waymo Driver powers our fully autonomous ride-hail service, with applications across various vehicle platforms and use cases. Having completed over ten million rider-only trips, our technology is backed by more than 100 million miles driven autonomously on public roads and tens of billions simulated across more than 15 U.S. states.The Reasoning Foundations Team is pivotal in crafting horizontal technologies that impact the entire Waymo organization. Within this team, the Driving Logic Capabilities unit focuses on building and maintaining the essential interfaces, infrastructure, and shared technologies utilized by Planner Reasoning to address onboard behavioral challenges. In this impactful role, you’ll play a crucial part in enhancing the Waymo Driver's performance as we expand into new cities, empowering over 100 engineers to develop onboard software and advance Waymo’s architectural frameworks. Additionally, you will have the chance to influence development workflows organization-wide by establishing clear interfaces and processes for developing and debugging the Waymo driver.In this hybrid role, you will report directly to a Lead Software Engineer.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most trusted driver on the planet. Originally initiated as the Google Self-Driving Car Project in 2009, Waymo has relentlessly pursued the development of the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to save lives lost in 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 rider-only trips and an impressive record of over 100 million miles driven autonomously on public roads, along with tens of billions of miles simulated across 15+ U.S. states, Waymo is leading the charge in safe and effective autonomous transportation.The Simulator Team at Waymo is tasked with creating cutting-edge simulations of realistic environments that are crucial for testing and training the Waymo Driver. Our team consists of a diverse group of software engineers, machine learning engineers, and data scientists, dedicated to developing industry-leading simulation solutions that assess and enhance the performance of the Waymo Driver. By accurately modeling the real world—including self-driving vehicle dynamics, realistic agents (vehicles, pedestrians, cyclists, motorcyclists), traffic systems, and environmental conditions—we ensure that our simulations reflect true driving scenarios. This capability is essential to our mission of creating the world's most experienced driver.The Vehicle and Automated Driving Realism team is focused on innovating tools and techniques that enhance driving realism, a core aspect of our simulation efforts. We are committed to ensuring that the data derived from our simulations accurately represents real-world driving performance, emphasizing performance, reliability, fidelity, and usability.In this role, you will report directly to a Senior Staff Engineering Manager.

About Us Nuro is an innovative self-driving technology firm dedicated to making autonomy accessible for everyone. Established in 2016, Nuro is on a mission to build the world’s most scalable autonomous vehicle, integrating advanced AI with automotive-grade hardware. We license our core technology, the Nuro Driver™, to facilitate a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With a proven track record in self-driving deployments, Nuro provides automakers and mobility platforms a straightforward pathway to commercial-scale autonomous vehicles—creating a safer, richer, and more interconnected future. Role Overview The Behavior Planning Team at Nuro is responsible for advancing the Nuro Driver’s prediction and planning systems to enable secure, driverless autonomy. We seek talented software engineers to explore, develop, and implement technologies for our planning stack, ensuring safe rides across diverse roadways. This role involves creating a versatile and scalable machine learning planner capable of powering Level 4 driving for robotaxi applications and serving as a Level 2 solution for leading automobile manufacturers globally. The Nuro Driver™ operates in various environments, from structured streets and highways to unstructured areas like parking lots and busy traffic situations. You will design and develop cutting-edge algorithms that empower the Nuro Driver to adeptly plan and navigate intricate scenarios with human-like proficiency. Your work will focus on formulating intelligent strategies to utilize diverse datasets effectively, optimizing our learned behavior stack. If you are eager to implement state-of-the-art robotics and machine learning technologies in a collaborative setting with immediate impact, we invite you to join our team! Responsibilities Design and implement innovative robotics and machine learning technologies for the Nuro Driver. Collaborate cross-functionally with engineers in behavior, perception, mapping, and ML research to push the boundaries of autonomous driving. Translate theoretical solutions into production-ready software to deploy new technologies on real vehicle platforms safely, efficiently, and at scale. Provide mentorship and technical guidance to junior members of the behavior team. Qualifications PhD or Master’s Degree in robotics, computer science, mechanical/aerospace engineering, electrical engineering, mathematics, or a related field. Expertise in robotics with a focus on path planning, motion planning, trajectory generation, behavior planning, and optimal control. Experience with machine learning techniques such as deep learning, reinforcement learning, and data-driven decision-making.

About UsNuro is at the forefront of self-driving technology, dedicated to making autonomy available to everyone. Established in 2016, we are developing the most scalable autonomous driver, integrating advanced AI with top-tier automotive hardware. The Nuro Driver™ technology is licensed for various applications, including robotaxis, commercial fleets, and personal vehicles. With years of successful self-driving implementations, Nuro paves the way for automakers and mobility platforms to achieve commercial-scale autonomous vehicles, fostering a future that is safer, more integrated, and enriched.Role OverviewAs a Senior/Staff Software Engineer specializing in driving behavior verification, you will play a crucial role in developing metrics to assess the complete behavior of the Nuro Driver. These metrics will be pivotal in quantifying the safety of our driving behavior within designated operational domains (ODD). Your background in behavior planning or prediction systems for robotics, along with a collaborative spirit, will allow you to effectively engage with diverse teams across Nuro, including Systems, Onboard Software, Simulation, Product, and Operations.Key ResponsibilitiesCreate and implement generalized metrics in Python to validate the driving behavior of autonomous vehicles.Utilize a mix of machine learning models and safety metrics from established literature to analyze end-to-end driving performance.Test and evaluate these metrics through various methods: synthetic and log simulations, on-road data, closed-course tests, and third-party accident analyses.Collaborate with Systems, Behavior, Perception, Data Science, Product, Legal, and Public Trust teams to define acceptance criteria for metrics and tests.Work alongside simulation infrastructure and test integration teams to establish automated verification processes.Produce comprehensive performance and validation reports demonstrating the safety of the autonomous system for deployment within our target ODD.

At Waymo, we are pioneering the future of mobility with our autonomous driving technology, striving to be the most trusted driver globally. Originally launched as the Google Self-Driving Car Project in 2009, we have dedicated our efforts to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent countless traffic-related fatalities. Our technology has successfully completed over ten million rider-only trips, leveraging the experience gained from autonomously navigating more than 100 million miles on public roads across 15+ U.S. states.Our Hardware Engineering team is a dynamic collective of electrical, mechanical, reliability, software, and vehicle engineers. We are committed to designing, constructing, and refining the components that serve as the eyes and ears of our autonomous driving technology, integrating these innovations into various vehicle platforms. We are in search of inquisitive and skilled individuals to help us drive innovation forward.This position operates under a hybrid work arrangement and reports directly to the Technical Lead & Manager of Motion Control.

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.

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 itself to developing the Waymo Driver—The World’s Most Experienced Driver™—aiming to enhance mobility access while preventing the thousands of fatalities caused by traffic accidents. The Waymo Driver is the backbone of Waymo's fully autonomous ride-hailing service and is adaptable 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, supplemented by extensive simulation across 15+ U.S. states.Our Product Management Team is a mission-driven group tasked with creating and implementing innovative playbooks to introduce fully autonomous driving technology to the market. We strive to simplify complex challenges by coordinating cross-functional efforts, focusing on customer needs, business objectives, and technological advancements. Our approach is characterized by humility in our work, collaboration in problem-solving, and ambition for our future vision.This position follows a hybrid work schedule.You will:Develop a strategic roadmap and define product requirements for planner and driving behavior, utilizing product insights and fostering alignment across the organization.Engage with AI/ML and Planning technologies that enable the Waymo Driver to expand into both domestic and international markets while operating across diverse hardware platforms.Collaborate with fellow PMs and cross-functional teams to identify long-term product focus areas, guiding technology and engineering initiatives to address these priorities.Analyze data from real-world miles driven by our fleet, establish requirements, and assist the team in making informed trade-offs between functionality, engineering complexity, and other considerations.Work cross-functionally with Product Managers, Operations, System Engineering, and other Waymo teams to launch products that enhance safety and revolutionize transportation.

Waymo, an innovator in autonomous driving technology, aims to be the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility while preventing countless lives lost to traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service, applicable to various vehicle platforms and product use cases. With over ten million rider-only trips under its belt, the Waymo Driver has autonomously navigated more than 100 million miles on public roads and engaged in extensive simulation across 15+ U.S. states.The Waymo Onboard Infrastructure team is responsible for the low-level software and infrastructure supporting various components of the Waymo self-driving system. Our work encompasses everything from low-level system software to high-bandwidth data logging, inter-process communication (IPC), performance analysis, and comprehensive system debugging. Collaborating closely with Hardware, Compute, Sensor, Perception, Behavior, and Machine Learning teams, we strive to build the most efficient and low-latency self-driving solution in the industry.As a member of the System Software Team, you will concentrate on the Telematics unit—the essential Linux-based gateway that manages all data flow in and out of the autonomous vehicle. This role involves critical functions such as real-time diagnostics, over-the-air (OTA) software updates, and high-bandwidth telemetry. You will play a pivotal role in developing, securing, and maintaining the connectivity infrastructure that drives the continuous operation and improvement of Waymo's fleet.In this role, your responsibilities will include:System Software Development: Collaborate with a dedicated team of System Software and Linux Kernel Engineers to design, develop, and deploy production-grade system software components for driverless vehicles, from initial prototyping through to launch.Linux OS Ownership: Manage and enhance the operating system of the Telematics unit, which includes the Linux kernel, device drivers, and core OS services.Networking & Connectivity: Develop and implement robust, high-performance networking solutions that ensure reliable data transfer over Wi-Fi and cellular modems.Infrastructure & Testing: Create and apply a comprehensive testing methodology and infrastructure to verify the reliability and security of low-level software while facilitating seamless updates across the fleet. Utilize automated testing of hardware to validate low-level hardware-software systems.Cross-Functional Problem Solving: Effectively collaborate with hardware partners (SoC vendors, ODMs) and internal engineering teams to address complex, cross-disciplinary system challenges.

Join our dynamic team at LinkedIn Corporation as a Senior Staff Software Engineer specializing in Systems Infrastructure. In this pivotal role, you will be responsible for designing, implementing, and maintaining robust infrastructure systems that support our growing platform. You will collaborate with cross-functional teams to drive innovation and optimize our systems for scalability and performance.

Who We Are Nuro is a pioneering self-driving technology company dedicated to democratizing autonomy for everyone. Established in 2016, we are developing the world’s most scalable driver, integrating advanced AI with automotive-grade hardware. Nuro licenses its flagship technology, the Nuro Driver™, enabling a diverse range of applications from robotaxis and commercial fleets to privately owned vehicles. With a proven track record in self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, fostering a safer, more interconnected future. About the Role We are seeking talented senior engineers to enhance and scale Nuro’s expansive computing infrastructure within cloud and data centers. This infrastructure is vital for numerous essential business applications, including machine learning data pipelines, data discovery, simulation, and time-series multimedia log processing. In this role, you will design and implement a scalable, efficient, and reliable system that connects fundamental infrastructure with high-level job requests, making large-scale computations more accessible for autonomy and other infrastructure engineers. About the Work Design and build scalable, dependable frameworks, such as BATES, to orchestrate and manage large-scale workloads in both cloud and on-premise clusters. Collaborate with application teams across Nuro to develop robust, generic tools and APIs that expedite the creation of mission-critical applications. Enhance workload efficiency and turnaround time by deeply understanding application contexts, identifying inefficiencies and bottlenecks, prioritizing tasks, and implementing innovative solutions. About You You possess extensive experience in creating and developing large-scale distributed applications (e.g., Kubernetes). You are proactive in recognizing opportunities for system improvements and driving positive transformations. You have the capability to translate high-level requirements into detailed, cohesive system designs. You are eager to gain a deep understanding of application logic across Nuro and are passionate about going the extra mile. You are highly collaborative and dedicated to delivering the best possible user experience. You embody startup spirit: your track record shows you thrive in the dynamic, often ambiguous environment of a startup.

Who We AreAurora Innovation is on a mission to revolutionize transportation by delivering self-driving technology that is safe, rapid, and widely accessible.The Aurora Driver will usher in a new era of mobility and logistics, providing a safer, more efficient future for all.At Aurora, you will engage with complex challenges alongside a team of passionate and intelligent professionals, enhancing your expertise in the process. For the latest updates on Aurora, explore our website at aurora.tech or connect with us on LinkedIn.Aurora is committed to building a transportation ecosystem that enhances safety on our roads, ensures efficient delivery of essential goods, and makes mobility accessible for everyone. We are currently seeking a Software Engineer II.The Behavioral Simulation team is at the forefront of developing a simulation engine that mirrors the systems following the perception system. This team focuses on creating realistic actor behaviors and infrastructure tools for generating motion planning simulations.Your Responsibilities:Write software in C++17 and Python, adhering to modern best practices. This is a hands-on development role.Contribute to engineering best practices within a large and complex codebase.Address end-to-end simulation and autonomy behavior evaluation challenges across various components of the autonomy system, including motion planning, mapping, and localization.Design and implement critical simulation and offline testing engines and tools.Develop and enhance software for world entities, adaptive behavior, pathfinding, road networks, computational mathematics, spatial queries, collision detection, vehicle control, and vehicle dynamics.

Join Us at NuroNuro is a pioneering self-driving technology firm dedicated to making autonomy accessible for everyone. Since our inception in 2016, we have been developing the world's most scalable autonomous vehicle system, integrating advanced AI with high-quality automotive hardware. Our flagship product, the Nuro Driver™, is licensed for a variety of applications, including robotaxis, commercial fleets, and private vehicles. With years of successful self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, fostering a safer, more connected future.Your RoleAs a Software Engineer specializing in Networking, you will be crucial to our remote vehicle monitoring and assistance strategy. You will collaborate with a talented team of engineers to enhance our Teleoperations platform, focusing on the essential communication systems and cloud infrastructure that link vehicles to operators. This role requires a comprehensive understanding of networking algorithms, bandwidth estimation, rate control, computer networking, and real-time communication systems. Your work will help deliver robust solutions that can be licensed for third-party teleoperation applications.Your ResponsibilitiesDevelop a network interface bonding framework to optimize bandwidth and LTE network usage.Create an offline network simulation and emulation framework to predict online performance.Conduct real-world testing, gather feedback, and drive innovative solutions.Collaborate with cross-functional teams to collect on-road network metrics.Your QualificationsA PhD in Computer Science or a related field, or a BS/MS in Computer Science or a related discipline with at least 2 years of relevant industry experience.Proficient in C/C++ and/or Go programming languages.Familiarity with networking protocols, including ICMP, TCP/IP, HTTP, socket programming, FEC, and congestion control.Experience with network simulation frameworks, such as ns-3.Strong communication skills are essential.Bonus QualificationsExperience with video streaming frameworks, such as WebRTC.Understanding of video codecs, including VP8, VP9, H264/265.

Waymo is a pioneering force in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo focuses on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips completed and extensive experience from driving more than 100 million miles on public roads, complemented by simulations totaling tens of billions of miles across over 15 U.S. states, we are at the forefront of our industry.The Large Model Evaluation team plays a crucial role in advancing Waymo's AI ambition. As we leverage advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs), our goal is to create cutting-edge AI systems that navigate the complexities of real-world driving scenarios. Our progress hinges on our ability to measure performance effectively. With robust evaluation being essential for deploying large models, the challenges we face are particularly intricate and safety-critical. We are seeking engineers with a quantitative mindset to explore and establish innovative methods for assessing the machine learning models utilized in the Waymo Driver.

P-59 At Databricks, we are driven by a mission to empower data teams to tackle some of the most pressing challenges facing our world. Whether it's transforming transportation or accelerating medical innovations, we achieve this by creating and operating the foremost data and AI infrastructure platform. Our customers leverage deep data insights to enhance their business operations. Founded by engineers with a relentless commitment to customer satisfaction, we eagerly embrace every opportunity to address technical challenges—from designing cutting-edge UI/UX for data interaction to scaling our services across millions of virtual machines. And this is just the beginning. In modern data analysis, advanced techniques such as machine learning surpass the capabilities of conventional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be instrumental in developing next-gen distributed data storage and processing systems that not only outperform specialized SQL query engines in relational query performance but also offer the flexibility and programming abstractions necessary to support a diverse range of workloads, from ETL processes to data science applications. Key projects you might work on include: Apache Spark™: Contribute to the leading open-source framework for big data. Data Plane Storage: Deliver reliable, high-performance services and client libraries for managing vast amounts of data on cloud storage solutions like AWS S3 and Azure Blob Store. Delta Lake: A sophisticated storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, offering features such as ACID transactions and time travel to simplify complex data engineering architectures. Delta Pipelines: Simplify the management of extensive data engineering pipelines, allowing customers to effortlessly orchestrate, deploy, test, and upgrade thousands of data pipelines while minimizing operational burdens. Performance Engineering: Develop the next-generation query optimizer and execution engine that is fast, tuning-free, scalable, and robust.

Waymo, a leader in autonomous driving technology, is 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 and significantly reduce traffic fatalities. The Waymo Driver currently powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips completed and an impressive record of more than 100 million miles driven autonomously on public roads, along with tens of billions of miles in simulation across 15+ U.S. states, we are redefining transportation.Our Hardware Engineering team is a dynamic and collaborative group comprising electrical, mechanical, reliability, software, and vehicle engineers. We innovate, design, and refine the systems that serve as the eyes and ears of our autonomous technology, integrating these systems into our vehicle platforms. We are looking for inquisitive and talented individuals to join us in driving forward our vision.This position follows a hybrid work schedule, reporting to a Vehicle Systems Architecture Lead.