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
• Proactively 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

Benefits

• Base salary, equity, and comprehensive benefits
• Health, dental, vision, life, and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

About the Company

Applied Intuition is a Tier 1 vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. We provide the digital infrastructure and toolchains needed to bring intelligence to every moving machine, serving the automotive, defense, trucking, construction, mining, and agriculture industries.