Software Engineer Performance Optimization
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
About Applied Intuition
Founded in 2017, Applied Intuition builds physical-AI tooling and infrastructure, a Vehicle OS, and a Self-Driving System for automotive, defense, trucking, construction, mining, agriculture, and robotics applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will analyze application-layer runtime performance, optimize compute use within embedded constraints, and profile software on embedded targets. You will work with ML runtime engineers, design for safe concurrent execution, deploy production code on embedded platforms, and improve system-wide latency and monitoring tools.
Requirements
- Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field
- 5+ years of software development experience
- C++ development skills focused on runtime performance
- Experience profiling CPU, GPU, and memory performance on constrained compute
- Ability to debug complex runtime issues and resolve onboard resource contention
Responsibilities
- Analyze application-layer runtime performance and identify resource contention
- Optimize compute usage within embedded platform constraints
- Profile and tune performance on embedded targets
- Collaborate with ML runtime optimization engineers
- Design for contention avoidance and thread safety
- Deploy and validate production code on QNX, Linux-based embedded, or similar RTOS platforms
- Improve system-wide runtime, latency, and performance monitoring tools
Benefits
- Equity
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- 401k retirement benefits with employer match
- Learning stipend
- Wellness stipend
- Paid time off