Software Engineer - Performance Optimization
Applied Intuition · Sunnyvale
Roboticsonsitesenior$199k–$265k
At a glance
Highlights
- Optimize autonomous driving stack to fit tight embedded compute budgets.
- Analyze runtime behavior and resolve resource contention across applications.
- Deploy and validate production autonomy code under real-world conditions.
Ideal candidate
An experienced systems-minded engineer who thrives squeezing maximum performance from constrained embedded platforms and enjoys digging into runtime behavior to make complex autonomy stacks run reliably.
Requirements
- Bachelor's or Master's in Electrical Engineering, Computer Science or related field
- 5+ years of experience in software development
- Strong C++ development skills with a focus on runtime performance
- Experience profiling CPU, GPU, and memory usage on constrained compute
- Proven ability to debug complex runtime issues and resolve onboard resource contention
- Exposure to ML models and runtime frameworks (PyTorch, ONNX, TensorRT)
- remote policy
- In-office 5 days a week with occasional flexibility
Lab profile
About Applied Intuition
Builds simulation, vehicle OS, and autonomy infrastructure for automotive, defense, and heavy industries.
What they build
- Autonomy software stacks
- Vehicle operating systems
- Simulation and validation tooling
Known for
- Trusted by 18 of top 20 global automakers
- Expertise across automotive, defense, trucking, mining and agriculture
- Full-stack coverage from tooling to OS to autonomy
Key facts
- Founded in 2017
- Headquartered in Silicon Valley
- Valued at $15 billion
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