AI/RL Infrastructure Engineer: Scale ML Systems

Applied Intuition Inc.; Sunnyvale (CA); Hybrid; USD 126,000 - 423,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

Applied Intuition, Inc. in Sunnyvale, California, seeks a Research Engineer (AI/RL Infrastructure) to design, build, and operate state-of-the-art ML systems for next-generation physical AI.

You will work with researchers to accelerate the core platform powering autonomous driving and robotics, contribute to production-ready systems, and collaborate across AI research, autonomy, and platform teams.

Qualifications

• Experience building and operating production-grade ML systems.
• Experience with full ML lifecycle: training, evaluation, data, deployment.
• Strong debugging skills for large-scale distributed training.
• Familiarity with open-source ML ecosystem; balance OSS vs in-house.
• Expertise in PyTorch, CUDA, Ray, Flyte, and Kubernetes.

Responsibilities

• Design and build training and evaluation infrastructure for large ML systems.
• Build benchmarking, evaluation, and regression tracking across driving data.
• Develop data sampling, dataset generation, and curation pipelines.
• Enable high-throughput distributed training across cloud environments.
• Collaborate with research, autonomy, and platform teams to productionize research.

Skills

Production systems

ML lifecycle

Data pipelines

Deployment

Performance engineering

Distributed systems

Debugging at scale

Open source ML ecosystem

Tools

PyTorch

CUDA

Ray

Flyte

Kubernetes

Job description

Applied Intuition, Inc. in Sunnyvale, California, seeks a Research Engineer (AI/RL Infrastructure) to design, build, and operate state-of-the-art ML systems for next-generation physical AI.

You will work with researchers to accelerate the core platform powering autonomous driving and robotics, contribute to production-ready systems, and collaborate across AI research, autonomy, and platform teams.