Senior ML Performance Engineer, Inference Optimisation

📋 Description

• Profiling inference performance across model graphs, compiler/runtime behaviour, kernel execution
• Implementing and validating optimisations in compilers, runtimes and/or kernels, including fusion
• Building benchmarking and regression tests to track performance across models, devices and software
• Optimising for edge targets such as NVIDIA Orin/Thor and Qualcomm platforms
• Contributing to team tooling, documentation and technical discussions around ML performance

🎯 Requirements

• Experience improving performance in production or production-adjacent systems with latency, memory
• Strong hands-on experience with at least one relevant stack, such as TensorRT, CUDA, Qualcomm QNN
• Comfortable working from high-level model behaviour down to kernel/runtime-level execution
• Strong software engineering fundamentals, including debugging, profiling, testing and maintainable
• Clear communication and ability to work across ML, systems and deployment teams

🎁 Benefits

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship
• Hybrid working, core hours and hands-on work in vehicle workshops and labs
• Learning and development budgets
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave