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Research Engineer - AI/RL Infrastructure

Applied Intuition· Research
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Sunnyvale, CA$126k - $423kfull-timePosted 10mo ago

About the role

Research Engineer (AI/RL Infrastructure) to design, build, and operate large-scale ML systems for autonomous driving and robotics applications. Join Applied Intuition’s Research Group to translate cutting-edge AI research into production-ready infrastructure and collaborate with autonomy, AI research, and platform teams.

Responsibilities

  • Design and build training and evaluation infrastructure to support current AI research directions, orchestrating massive GPU clusters to process PBs of multimodal sensor data
  • Build robust benchmarking, continuous evaluation, and regression tracking systems to measure model performance across diverse, long-tail real-world driving distributions
  • Develop large-scale data sampling, dataset generation, and advanced data curation pipelines, leveraging state-of-the-art AI models to power a closed-loop data flywheel
  • Enable high-throughput distributed training across heterogeneous cloud environments, focusing on reliability, efficiency, and cost-aware scaling
  • Collaborate closely with AI research, autonomy, and platform teams to translate cutting-edge research into production-ready systems

Qualifications

  • Experience building and operating production-grade software systems across the full machine learning lifecycle, including training, evaluation, data, and deployment
  • Opinions about building a company-wide platform for ML training, evaluation, and deployment
  • Experience with performance engineering and compute acceleration for large-scale ML training, including profiling, bottleneck analysis, and optimization
  • Strong systems-level debugging skills to diagnose and resolve issues in large-scale distributed training, spanning model code, data pipelines, runtimes, and cluster infrastructure
  • Deep familiarity with the open-source ML and systems ecosystem, with judgment on when to adopt open source versus build in-house
  • Technical experience in: Pytorch, CUDA, Ray, Flyte, K8s

Skills

Required:ML systems engineeringDistributed training and systems debuggingOpen-source ML ecosystemPytorchCUDARayFlyteKubernetes (K8s)

Benefits

  • comprehensive health, dental, vision, life and disability insurance coverage
  • 401k retirement benefits with employer match
  • learning and wellness stipends
  • paid time off
Last updated May 26, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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