Software Engineer - Performance Optimization

Responsibilities

• Analyze runtime performance of the application layer and identify potential resource contentions
• Optimize compute usage to fit within embedded platform constraints without sacrificing algorithm accuracy or latency
• Profile and tune performance on embedded targets under real-world operating conditions
• Collaborate with ML runtime optimization engineers to ensure smooth model inference execution
• Design for contention avoidance and thread safety through code and architecture reviews
• Deploy and validate production code on QNX, Linux-based embedded, or similar RTOS platforms
• Contribute to improving system-wide runtime, latency, and performance monitoring tools

Requirements

• Bachelors or Masters in Electrical Engineering, Computer Science, or a 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 performance on constrained compute
• Proven ability to debug complex runtime issues and resolve onboard resource contention

Preferred Qualifications

• Exposure to ML models and runtime frameworks such as PyTorch, ONNX, or TensorRT
• Experience with memory-constrained deployments and concurrent scheduling
• Prior experience with autonomous driving software stacks
• Scripting experience for performance profiling and automation

About the Company

Applied Intuition is a Tier 1 vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide, providing the digital infrastructure for the future of physical AI.