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

Senior Software Engineer, Machine Learning, Calibration

Job Description

**Job Title** Senior Software Engineer, Machine Learning, Calibration **Role Summary** Design, research, and implement state‑of‑the‑art sensor calibration and state‑estimation algorithms for autonomous driving systems. Lead algorithm development from research to production, integrating with the autonomy stack and ensuring real‑time performance and data quality. **Expectations** - PhD or master’s degree in ML, CS, EE, robotics, or related field. - 3+ years industry experience or 5+ years total experience. - Proven track record of developing and deploying ML models on sensor data (IMU, camera, lidar, radar). - Ability to work cross‑functionally with autonomy, perception, and software teams. **Key Responsibilities** 1. Research and develop online/offline calibration algorithms using classic robotics and modern ML techniques. 2. Analyze accuracy, robustness, and computational resource use of calibration pipelines in simulation and on‑board tests. 3. Integrate calibration workflows into the vehicle’s autonomy stack and oversee performance evaluation. 4. Collaborate with perception, mapping, and training teams to accelerate ML model training and end‑to‑end system evaluation. 5. Provide expert insight on sensor data quality and system performance to stakeholders. **Required Skills** - Deep learning frameworks (PyTorch, TensorFlow, Jax). - Python programming with emphasis on scalable, production‑ready code. - Strong foundation in ML fundamentals, training, and evaluation. - Knowledge of 3‑D geometry, state estimation (e.g., nonlinear least squares, Lie algebra). - Experience with sensor modalities (IMU, camera, lidar, radar) and noise modeling. - Systems coding and performance profiling. **Required Education & Certifications** - PhD or master’s degree in Machine Learning, Computer Science, Electrical Engineering, Robotics, or equivalent. - Official certifications in ML or robotics (optional but preferred).

Mountain view, United states

Hybrid

Senior

09-11-2025

Company Name

Nuro

Job Title

Senior/Staff Software Engineer, Data Platform

Job Description

**Job Title** Senior/Staff Software Engineer, Data Platform **Role Summary** Architects and implements large‑scale, reliable data processing pipelines and storage systems that ingest, transform, and deliver training and evaluation data for autonomous driving systems. Drives end‑to‑end data flow from log ingestion to dashboard reporting, ensuring data integrity, performance, and scalability across batch and streaming workloads. **Expectations** - 4+ years of professional software engineering experience, preferably in large‑scale data or ML infrastructure. - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a closely related field. - Proven experience leading or mentoring engineering teams; formal or informal technical leadership. **Key Responsibilities** - Design and develop unified batch and streaming data processing architectures for autonomous driving logs. - Build a storage solution capable of handling high volume, diverse evaluation and performance metrics. - Create intuitive dashboards and reports that enable clear comparisons of system improvements and regressions. - Implement comprehensive end‑to‑end data pipelines from ingestion to consumption. - Develop continuous testing, monitoring, and alerting mechanisms to safeguard data pipeline integrity and resilience. - Collaborate with system and software engineers to validate autonomous driving performance before deployment. **Required Skills** - Strong proficiency in Python and C++ (or comparable languages). - Expertise in building scalable, reliable data pipelines and distributed data processing systems. - Familiarity with GCP services such as GCS, BigQuery, and PostgreSQL. - Knowledge of data engineering best practices, batch/streaming processing, warehousing, and analytics solutions. - Experience with data workflow orchestration platforms (e.g., Airflow, Prefect). - Ability to design system architectures and establish technical standards across a software organization. - Excellent communication, mentoring, and team‑leadership abilities. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Electrical Engineering, or a related discipline (Master’s preferred). - No specific professional certifications required, though experience with cloud or data engineering certifications is a plus.

Mountain view, United states

Hybrid

Senior

14-11-2025

Company Name

Nuro

Job Title

Systems Engineering Intern, Scenario Taxonomy

Job Description

Job Title: Systems Engineering Intern – Scenario Taxonomy Role Summary Intern to design, validate, and refine a hierarchical scenario taxonomy for Level 4 autonomous vehicles. Support safety, verification & validation (V&V) and develop data‑driven taxonomy used across engineering, mapping, and operations. Expectations - Contribute to the taxonomy specification and decomposition of scenario space. - Apply systems‑engineering practices to define features, assess coverage against ODD, and align with industry standards. - Collaborate with cross‑functional teams: Systems V&V, Autonomy Development, Mapping, Data Infrastructure, Operations. - Provide analytical input and documentation to support safety assessment and regulation compliance. Key Responsibilities 1. **Taxonomy Development** – Specify and decompose hierarchical scenario space into a usable taxonomy. 2. **Feature Design** – Identify and design key taxonomy features reflecting system capabilities and stakeholder needs. 3. **Validation & Assessment** – Evaluate taxonomy against on‑road data, ODD, failure‐mode coverage, and relevant standards. 4. **Collaboration** – Work with multiple internal teams to integrate taxonomy into development and V&V workflows. 5. **Documentation** – Maintain clear, auditable requirements and V&V evidence records. 6. **Research & Analysis** – Investigate simulation, perception, and traffic rule requirements relevant to taxonomy. Required Skills - Strong analytical and systems‑thinking abilities with meticulous attention to detail. - Knowledge of taxonomy design, databases, and data structures. - Proficiency in Python for scripting and basic data queries. - Effective written and verbal communication skills. - Ability to work within existing requirement management tools. Preferred/Bonus Skills - Systems‑engineering concepts: requirements definition, verification, and validation. - Basic understanding of autonomous vehicle perception, sensor suite, and simulation. - Familiarity with traffic rules, regulations, and traffic engineering. - Experience with configuration‑management tools for documentation and software. Required Education & Certifications - Current enrollment in a bachelor’s, master’s, or doctoral program in engineering, computer science, physics, mathematics, or a closely related discipline. - No specific certifications required, but familiarity with automotive or systems‑engineering standards is a plus. (Word count: 237)

Mountain view, United states

Hybrid

Fresher

14-11-2025

Company Name

Nuro

Job Title

Software Engineer, ML Infrastructure, Optimization

Job Description

Job title: Software Engineer, ML Infrastructure, Optimization Role Summary: Design, develop, and optimize the machine learning infrastructure that supports autonomous vehicle systems, focusing on model pipelines, compiler frameworks, and deployment of large language models. Expatations: - Minimum 3 years of professional experience in ML optimization infrastructure. - Proven expertise in quantization, distillation, pruning, and model compression techniques. - Hands‑on experience with ML compilers, GPU runtimes, and performance profiling. - Proficiency in Python, with solid working knowledge of C++ and CUDA. - Familiarity with deep learning frameworks (PyTorch, TensorFlow, Jax, Keras). - Strong collaboration skills to work with cross‑functional engineering teams. Key Responsibilities: 1. Architect and build scalable, robust ML model pipelines for autonomous driving use cases. 2. Develop and maintain a model compiler framework (FTL) to translate high‑level models into efficient, deployable binaries. 3. Optimize, validate, and deploy large language models and other ML components on vehicle hardware. 4. Profile and tune GPU‑accelerated ML runtimes to meet real‑time performance requirements. 5. Collaborate closely with behavior, perception, and mapping teams to integrate learned ML solutions end‑to‑end. 6. Produce clean, well‑documented code and contribute to best‑practice standards for safety‑critical software. Required Skills: - Advanced knowledge of ML optimization (quantization, pruning, compression, distillation). - Experience with ML compiler development and runtime optimization. - Strong command of Python; solid understanding of C++ and CUDA for high‑performance computing. - Hands‑on experience with major DL frameworks (PyTorch, TensorFlow, Jax, Keras). - Ability to profile, benchmark, and optimize performance on GPU hardware. - Excellent problem‑solving, debugging, and documentation skills. - Effective communication and teamwork in an interdisciplinary environment. Required Education & Certifications: - Bachelor’s degree in Computer Science, Electrical Engineering, or related field (master’s or higher preferred). - No specific certifications required; industry‑recognised courses in ML infrastructure or HPC are advantageous.

Mountain view, United states

Hybrid

Junior

19-11-2025