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ML Runtime Optimization Engineer

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Sunnyvale, CA$159.1k - $199.3kfull-timePosted 10mo ago

About the role

Software engineer role focused on optimizing ML models and deploying them on production-grade embedded runtime environments for on-road and off-road ADAS/AD stacks, across multiple ML framework stacks and 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 optimizationEmbedded programmingModel pruning and quantizationDL frameworks

Benefits

  • base salary and equity
  • comprehensive health, dental, vision, life and disability insurance
  • 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

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