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ML Runtime Optimization Engineer

Applied Intuition· Self-Driving Systems
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Sunnyvale$216.8k - $318kFull-timePosted 3mo ago

About the role

Software engineer experienced in optimizing ML models for production-grade embedded runtime environments, spanning the full ML framework stack and targeting on-road/off-road ADAS/AD deployments on embedded compute platforms.

Responsibilities

  • Drive ML performance optimization on multiple technologies for on-road and off-road ADAS / AD stacks targeting deployment on a variety of embedded compute platforms
  • Develop compute usage strategies to optimize efficiency and latency of model inference for compute boards selected by our customers
  • Work on model pruning and quantization, and support deployment on memory constrained platforms
  • Collaborate closely with ML engineers and software developers on technical efforts to find and optimize efficient model architecture solutions
  • Set up methodologies to profile the model performance on target embedded compute platforms and identify performance bottlenecks as part of stack integration

Qualifications

  • Bachelors in Electrical Engineering or Computer Science, OR B.Sc. in Computer Science, Mathematics, Physics or a related field
  • 3+ years of experience with ML accelerators, GPU, CPU, SoC architecture and micro-architecture
  • Strong software development skills with the focus on embedded programming
  • Experience profiling and optimizing model performance on embedded compute platforms
  • Experience in working with deep learning frameworks (e.g., PyTorch, JAX, ONNX, etc.)

Skills

Required:ML model optimizationProfiling and benchmarkingDeep learning frameworks

Benefits

  • base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off
Last updated Oct 11, 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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