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Research Engineer - AI/RL Infrastructure

Applied Intuition· AI Research
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Sunnyvale$126k - $423kFull-timePosted 3mo ago

About the role

Research Engineer (AI/RL Infrastructure) to design, build, and operate large-scale ML systems powering next-generation physical AI in autonomous driving and robotics applications.

Responsibilities

  • Design and build training and evaluation infrastructure to support our 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
  • Masters or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
  • 1+ year of experience in autonomy and robotics applications or closely related field

Skills

Required:Machine learning systemsPlatform design for MLPerformance engineeringDistributed systems debuggingOpen-source ecosystem familiarityTechnical stackEducation in ML/CV for autonomyAutonomy/Robotics experience

Benefits

  • Base salary, equity, and benefits as part of total compensation package including comprehensive health, dental, vision, life and disability insurance coverage, 401k with employer match, learning and wellness stipends, and paid time off.
Last updated Sep 27, 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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