Nuro

Develop and scale generative models for autonomous plan generation and collaborate across teams to deploy solutions on autonomous vehicles. | PhD or MSc with 2-3 years experience in generative models research, strong programming skills in Python/C++, and demonstrated research publications. | Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future. About the Work • Develop and scale state-of-the-art generative models—especially diffusion architectures, flow-matching techniques, and energy-based models —for autonomous plan generation. • Build generative models with foundation models. Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation. • Optimize generative models using reinforcement learning to improve interactive reasoning. Explore reward modeling/learned verifier using generative models. Explore joint prediction and planning and self-play. Leverage generative models for active learning and world modeling. • Develop controllable generative models to guide the generation process towards desired goals, conditions and rewards. • Collaborate across autonomy teams while developing holistic solutions to top autonomy challenges. Understand issues, propose ideas, prioritize work and develop solutions to solve them, evaluate your solution by deploying the models on to the NuroDriver. About You You have deep expertise and prior experience in some or many of the following areas: • You have a Ph.D. (preferable) or M.Sc. with 2-3 years of experience working with generative models in the lab, in industry, or both. • Research experiences in generative models, particularly diffusion models, flow matching and energy-based models, for robotics, including manipulation, path planning, and autonomous driving. Experiences in vision-language-action models, reinforcement learning for generative model optimization, video generation, text-to-image generation, diffusion models for LLMs, world foundation models, and other applications of generative modeling are a bonus! • You have strong problem solving and programming skills in Python and/or C++ • Strong culture fit and good team player. • Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL etc.) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $160,360 and $240,540/ year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Work on data platform, onboard systems, ML infrastructure, simulation, or technical infrastructure for autonomous driving technology. | Candidates should be current students in CS, EE, Robotics, or related fields, with experience in backend API design, distributed systems, algorithms, and programming. | Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future. About the Role As a software engineering intern, you will work closely with leading experts in the field of machine learning, robotics, and software. Depending on your skill sets and areas of interest, you will work on some or all of the following: Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure teams. About the Work Depending on your skill set and areas of interest you will work on some or all of the following: • Data Platform: The Data Platform serves as a comprehensive management system for Nuro AI Driver's data, labels, and metrics, facilitating seamless access functionality. The team focuses on data annotation across various domains, including 2D/3D perception, mapping, behavior trajectory, and language/text. It also handles data ingestion and mining, employing methods such as heuristics and embedding search. Additionally, the platform supports the autonomy evaluation infrastructure by providing detailed introspection. • Onboard Systems: Our onboard system team’s software engineers provide a reliable and high-performance platform that allows our autonomy teams to integrate their autonomy software and algorithms that work across various self-driving platforms. This work requires close collaboration with our software teams, hardware teams, and systems/safety team to make sure new software and hardware work together safely and reliably and resolve onboard error and performance problems. • ML Infrastructure: The ML Infra team is the accelerator to our ML-first autonomy strategy. This team provides solutions to empower machine learning development in Nuro and optimize on-cloud training and onboard inference. Our solutions include a distributed training platform, ML compiler, model components libraries, e.t.c. The team provides opportunities for infra engineers to work fully embedded in ML teams to build cutting edge deep learning technologies. • Simulation: The Simulation team builds the simulator that allows us to develop and test our autonomous driving technology in a virtual setting. We work on the core simulator and simulation frameworks, sensor simulation, scenario generation, and solutions that combine real-world data with synthetic techniques to push the boundaries of what can be simulated, collaborating closely with teams across Autonomy and AI Platform to allow us to simulate realistically and reliably at scale. • Technical Infrastructure: this group owns few fundamental services for entire engineering organizations: generic compute platform to host mission-critical workflows such as data processing and simulation, storage management service which manages hundreds of PB of data, cloud infrastructure serves as IaaC which provisions and maintains all cloud resources, engineering productivity provides tools such as build and CI/CD to make engineering work more efficient. About You You have deep expertise and prior experience in some or many of the following areas: • You are a current BS or MS candidate in Computer Science, Electrical Engineering, Robotics, or a related field graduating in December 2026 or later • You have experience in one or more of the following areas: backend API design, applications development, large-scale distributed systems; data storage and processing systems; advanced algorithms using C++ and Python; machine learning, multithreading; x86 architecture; and software performance tuning and optimization, robotics software frameworks, different compute modalities (CPU, GPU, FPGA) etc. • You have strong problem solving and programming skills. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Develop and enhance simulation systems for autonomous vehicle technology, focusing on realism, performance, and system integration. | Experience in software engineering with proficiency in C++ and Python, and a passion for robotics and autonomous vehicle simulation. | Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Role Simulation is at the core of autonomy development. The Simulation team is responsible for building the simulator that powers all simulations at Nuro, allowing us to develop and test our autonomous driving technology with confidence. The team focuses on solving many novel simulation problems with innovative and creative solutions - from synthesizing sensor data and automated scenario generation, to performance and resource optimization, to framework and interface design - collaborating with teams across the company to set and expand the range of what’s possible to simulate. About the Work • Expand the functionality, performance, and usability of our simulator. • Develop innovative solutions to improve simulation realism and coverage through synthesis. • Design and build solutions to unify and simplify the interactions of complex systems. • Work across a large array of potential efforts, ranging from new greenfield projects to expanding/scaling existing systems. • Collaborate closely with autonomy engineers and build an understanding of how autonomy works to formulate the best solutions. About You • You have 1+ years of experience working in software engineering or related fields. • You are a talented software developer with experience in C++ and Python. • You enjoy tackling challenges in new problem spaces, solving pivotal problems, and building real solutions that bring your ideas to life. • You thrive in a highly collaborative environment, working effectively with engineers, PMs, and other stakeholders on project ideas, prioritization, and execution. • You have a high standard of technical excellence and have experience maintaining and raising the technical bar for your team. • You’re experienced with all stages of a project’s lifecycle. You can quickly take a project from zero to one or scale an existing one up to be relied upon in critical pipelines and workflows. • You have start-up DNA: You have demonstrated an ability to thrive in the ambiguity of a dynamic, start-up environment or have the DNA to do so. • You are passionate about bettering everyday life through robotics. Bonus Points • Previous experience in simulation for autonomous vehicles or other areas of autonomous vehicle development. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $145,830 and $219,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Lead the ML Training Infrastructure team to build scalable distributed training platforms, optimize training performance, and mentor engineers. | 6+ years in ML infrastructure or systems engineering, expertise in PyTorch, experience with distributed training and performance optimization, strong collaboration skills. | Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future. About the Role Nuro is seeking an experienced Technical Lead to work on our ML Training stack. You will lead the work to optimize distributed training, job scheduling, model component libraries, and improve upon our performance analysis tools. In this role you will enable models to train faster and more efficiently – accelerating our self-driving roadmap of commercial and personal mobility. About the Work As TL for Nuro's ML Training Infrastructure, you will help define and execute the ML Framework roadmap, and drive initiatives in distributed training and efficiency optimizations to scale deep learning models. This will include: • Help define the ML framework roadmap for the Training Infrastructure team. • Build and maintain a scalable, distributed training platform with an emphasis on efficiency, determinism, and reproducibility for large-scale training jobs. • Detect, diagnose, and resolve performance bottlenecks across training workflows, including input data pipelines and distributed training loops. • Optimize scheduling, training performance, resource utilization, and ensure consistent, reproducible model training outcomes. • Mentor and grow a high-performing team, fostering technical excellence and collaboration. • Drive improvements in software quality that measurably raise reliability, efficiency, reproducibility, and determinism. About You • 6+ years of professional or research experience in ML infrastructure, distributed training, or ML systems engineering. • Experience driving complex technical initiatives with stakeholder engagement. • Expertise in PyTorch; familiarity with TensorFlow, and experience optimizing training performance (e.g., host offloading, quantization, reduced-precision training). • Strong collaboration and communication skills, with a passion for exploring and promoting new approaches and technology. Bonus Points • Hands-on experience with CUDA, Triton, XLA, TPUs. • Familiarity with ML compilers, ONNX, and intermediate representations. • Experience with containerization (Docker), orchestration (Kubernetes), and ML pipeline tools (Airflow). • Practical experience with JAX. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $222,775 and $333,925 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP