Nuro

About the Company

Nuro exists to better everyday life through robotics.

Founded in 2016, Nuro is a leading AI Robotics company with fully autonomous vehicles on road today in California and Texas. The company's core technology is the Nuro Driver(tm), an integrated autonomous driving system consisting of state-of-the-art, AI-first software and automotive grade L4 sense and compute hardware. The first commercial application of the Nuro Driver(tm) is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.

Listed Jobs

Company Name

Nuro

Job Title

Lead ML Research Scientist

Job Description

**Job Title:** Lead ML Research Scientist **Role Summary:** Lead the research and development of advanced machine‑learning methods for autonomous perception, prediction, and planning systems. Convert cutting‑edge research into production‑ready solutions, supervise a high‑performing research team, and collaborate closely with autonomy engineers to deploy reliable autonomous software on public roads. **Expectations:** - Deliver high‑impact ML research that advances the company’s autonomous technology. - Build robust, scalable data pipelines and production systems. - Mentor and provide technical leadership to a multidisciplinary research team. - Publish peer‑reviewed work in top AI and robotics conferences. **Key Responsibilities:** - Design, prototype, and evaluate novel ML techniques (foundation models, multi‑modal LLMs, generative models, out‑of‑distribution detection, imitation learning, reinforcement learning). - Solve real‑world perception, prediction, and planning challenges in a state‑of‑the‑art autonomy stack. - Build and maintain efficient ML data pipelines from raw sensor data to training sets. - Translate research prototypes into production‑grade code suitable for deployment on public roads. - Lead and mentor a team of ML researchers and engineers. - Collaborate with hardware, software, and systems teams to integrate solutions. **Required Skills:** - ≥6 years of professional experience with an M.Sc. or Ph.D. in Computer Science, Artificial Intelligence, Mathematics, or related field. - Deep expertise in Machine Learning, Deep Learning, and Robotics. - Strong programming proficiency in C++ and/or Python. - Excellent problem‑solving ability and quantitative analysis skills. - Proven track record of research publications at major conferences (RSS, ICRA, CoRL, CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, etc.). - Ability to work collaboratively in a team environment and lead peers. **Required Education & Certifications:** - M.Sc. or Ph.D. in Computer Science, Artificial Intelligence, Mathematics, or closely related discipline. - No mandatory professional certifications required.

Mountain view, United states

Hybrid

Senior

24-11-2025

Company Name

Nuro

Job Title

Software Engineer, AI Platform - New Grad

Job Description

**Job Title:** Software Engineer, AI Platform – New Graduate **Role Summary:** Entry‑level software engineer joining the AI Platform team. Works across multiple technical domains—Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure—to build and maintain scalable, high‑performance software that supports autonomous driving development and deployment. **Expectations:** - Graduate (Bachelor’s or Master’s) in Computer Science, Electrical Engineering, Robotics, or related field before July 2026. - Demonstrated ability in large‑scale distributed systems, data storage/processing, and software performance optimization. - Strong programming skills in C++ and Python; experience with multi‑threading, machine learning pipelines, and robotics frameworks. - Comfortable collaborating with hardware, safety, and cross‑functional engineering teams. **Key Responsibilities:** 1. **Data Platform** – Design and implement data ingestion, annotation, mining, and labeling workflows for perception, mapping, behavior, and language data. 2. **Onboard Systems** – Develop and maintain high‑performance software that enables onboard autonomy algorithms, ensuring safety, reliability, and integration with hardware and safety teams. 3. **Technical Infrastructure** – Build core services such as compute orchestration, storage management for petabytes of data, IaaC for cloud resources, and engineering productivity tools (CI/CD, build systems). 4. **Performance & Optimization** – Tune software for CPU, GPU, and FPGA execution; profile and optimize critical algorithms. 5. **Collaboration & Support** – Work with fellow engineers, hardware teams, and product stakeholders to resolve performance issues and integrate new features. **Required Skills:** - Large‑scale distributed system design and implementation. - Data storage and processing (e.g., batch pipeline design, real‑time data flow). - Advanced algorithms in C++ and Python; experience with multithreading, concurrency, and low‑level performance tuning. - Knowledge of machine learning workflows and integration into real‑time systems. - Familiarity with x86 architecture, GPU/FPGA compute paradigms, and robotics software frameworks (ROS, ROS 2, or equivalent). - Strong problem‑solving, debugging, and communication abilities. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a closely related field. - Expected graduation before July 2026. - No specific certifications required.

Mountain view, United states

Hybrid

04-12-2025

Company Name

Nuro

Job Title

Software Engineer, Autonomy-New Grad

Job Description

Job Title: Software Engineer, Autonomy – New Grad Role Summary: Join Nuro’s autonomy team as a new graduate software engineer to develop and deploy algorithms for perception, planning, and robotic systems that enable safe, scalable self‑driving vehicles. Expectations: Deliver high‑quality, well‑tested C++/Python code, collaborate cross‑functionally, and iterate quickly in a fast‑paced, research‑driven environment. Key Responsibilities: - Design, implement, and evaluate perception pipelines (detection, segmentation, tracking, classification, prediction) for vision, lidar, radar, and thermal data. - Develop behavior modules for prediction and autonomous planning. - Apply advanced training techniques—active learning, semi‑/self‑supervised learning, model compression, architecture search, generative modeling—to scale data and optimize models for edge deployment. - Build and maintain robotic system architecture, state estimation, multi‑object tracking, and 3D reconstruction. - Validate safety and reliability of autonomy software through simulation and real‑world testing. - Produce clean, modular C++ code and supporting documentation. - Contribute to code reviews, design discussions, and continuous improvement initiatives. Required Skills: - Strong algorithmic problem‑solving ability and algorithm design experience. - Proficiency in C++ (primary) and Python. - Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and data processing pipelines. - Familiarity with computer vision, perception, sensor fusion, or autonomous systems concepts. - Ability to write unit tests, perform code reviews, and follow agile practices. - Excellent communication and teamwork skills. Required Education & Certifications: - Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field with focus on perception, machine learning, or autonomous systems; graduating soon or recently. - No specific certifications required.

Mountain view, United states

Hybrid

14-12-2025

Company Name

Nuro

Job Title

Machine Learning Research Scientist: Generative Modeling for Planning

Job Description

**Job title:** Machine Learning Research Scientist – Generative Modeling for Planning **Role Summary:** Research and develop advanced generative models (diffusion, flow‑matching, energy‑based) to produce autonomous plans for self‑driving systems. Integrate foundation models, large language models, and reinforcement learning to optimize interactive reasoning, controllable generation, and joint prediction–planning pipelines. Deploy and evaluate models on operational autonomous platforms. **Expectations:** - Ph.D. (preferred) or M.Sc. with 2–3 years of research/industry experience in generative modeling. - Strong publication record in top AI/robotics conferences (NeurIPS, ICLR, ICML, CVPR, RSS, CoRL). - Proven ability to translate research into scalable production systems. **Key Responsibilities:** - Design, train, and refine diffusion, flow‑matching, and energy‑based generative models for motion planning. - Leverage large language and world foundation models to enhance reasoning and multi‑modal generation. - Optimize generative models with reinforcement learning, reward modeling, and learned verification. - Develop controllable generative mechanisms to steer outputs toward desired goals, conditions, and rewards. - Conduct active learning and world‑modeling experiments to improve sample efficiency. - Collaborate cross‑functionally with autonomy, simulation, and validation teams; prototype and deploy models on production drivers. - Evaluate model performance, iterate on architecture, and document results for internal and external dissemination. **Required Skills:** - Deep expertise in generative modeling (diffusion, flow‑matching, energy‑based). - Experience applying generative models to robotics, path planning, and autonomous driving. - Proficiency in Python (preferred) and/or C++ for research and production code. - Knowledge of reinforcement learning, reward shaping, and policy optimization. - Familiarity with foundation models, large language models, and vision‑language‑action frameworks. - Strong analytical, problem‑solving, and communication skills. **Required Education & Certifications:** - Ph.D. or M.Sc. in Computer Science, Electrical Engineering, Robotics, or related field. - Minimum of 2–3 years post‑degree experience in generative modeling research or industry application. - No specific certifications required; a strong publication record substitutes.

Mountain view, United states

Hybrid

Junior

17-12-2025