Software Engineer, AI Platform - New Grad
New grad Software Engineer for AI Platform teams (Data Platform, Onboard Systems, Technical Infrastructure) at Nuro's self-driving tech company. Build scalable systems for data management, onboard autonomy, and infrastructure using C++, Python, and ML expertise.
About the job
About the Work
Depending on your skill set and areas of interest, you will work on:
- Data Platform: Management system for AI Driver's data, labels, metrics; data annotation (2D/3D perception, mapping, behavior trajectory, language/text); data ingestion/mining (heuristics, embedding search); autonomy evaluation infrastructure.
- Onboard Systems: Reliable high-performance platform for autonomy software/algorithms across self-driving platforms; collaborate with software/hardware/systems/safety teams for safe/reliable integration and error/performance resolution.
- Technical Infrastructure: Fundamental services including generic compute platform (data processing, simulation), storage management (hundreds of PB), cloud IaaC, engineering productivity tools (build, CI/CD).
About You
- Current Bachelor’s or Master’s candidate in Computer Science, Electrical Engineering, Robotics, or related field, graduating before July 2026.
- Experience in: large-scale distributed systems; data storage/processing; advanced algorithms (C++, Python); machine learning; multithreading; x86 architecture; software performance tuning/optimization; robotics frameworks; compute modalities (CPU, GPU, FPGA).
- Strong problem-solving and programming skills.
Compensation
Base pay: $145,000 - $170,000 (depending on experience, qualifications, education, location, skills). Eligible for annual performance bonus, equity, competitive benefits.
Skills
C++, Python, Distributed Systems, Machine Learning, Multithreading, X86 Architecture, Software Optimization, Robotics Frameworks, Kubernetes, CI/CD
Similar jobs
ML Engineering jobs
Lyft
San Francisco, CADesign, deploy, and improve real-time machine learning systems for Lyft’s ride fulfillment and marketplace products. The role requires 2+ years of ML experience, production programming skills, and expertise with deep learning and recommendation systems.
Ambral
New York, NYBuild production infrastructure for replayable enterprise environments, agent evaluation, and continuous model improvement. The role combines hands-on customer deployment, research experimentation, large-scale data processing, and production software engineering.
San Francisco, CA
Develop and deploy responsible AI and machine learning fairness solutions across Pinterest’s large-scale, user-facing products, including generative AI, search, and recommendations. The role requires production ML experience, expertise in fairness interventions and modern architectures, and a master’s or PhD in computer science or a related field.
Benchling
San Francisco, CA
Build datasets, evaluations, and scalable data systems that improve frontier AI models on challenging biological and scientific tasks. The role partners with scientists and AI labs and requires at least two years of experience applying biology and AI, plus hands-on LLM experience.
Garner Health
New York, NY
Build and ship production algorithmic systems that improve healthcare quality, access, and cost outcomes. The role combines machine learning, optimization, experimentation, and LLM productionization, requiring at least two years of relevant industry or advanced-degree experience.