Software Engineer - Performance Optimization

About this role

Applied Intuition seeks a Software Engineer to optimize embedded autonomous driving software for performance-constrained platforms. You'll profile and tune complex software stacks on real hardware, balancing computational efficiency with algorithmic accuracy while collaborating with ML optimization teams.

What you'll do

• Analyze and optimize application-layer runtime performance on embedded compute platforms
• Profile CPU, GPU, and memory usage to fit software within platform constraints
• Identify and resolve resource contention and thread safety issues through code reviews
• Collaborate with ML runtime engineers on efficient model inference execution
• Deploy and validate production code on QNX, Linux-based embedded, or RTOS platforms
• Develop monitoring tools for system-wide runtime, latency, and performance metrics

What they're looking for

• C++ development with focus on runtime performance
• Performance profiling and optimization on constrained hardware
• Embedded systems and RTOS platforms (QNX, Linux)
• Concurrent programming and lock-free architecture design
• Debugging complex runtime issues and resource contention
• ML frameworks and runtime optimization (PyTorch, ONNX, TensorRT)
• Scripting for performance profiling and automation
• Autonomous driving software stack familiarity

Benefits

• Work on cutting-edge autonomous vehicle technology
• Collaborate with top global automakers and defense organizations
• Primarily in-office (5 days/week) with flexibility for occasional remote work
• Opportunity to impact widespread adoption of intelligent machines
• Access to real-world embedded platforms and deployment scenarios
• Company valued at $15 billion with extensive global offices