Compiler Runtime Engineer

I’m working with an ambitious AI infrastructure company developing a compiler and runtime platform that enables machine-learning workloads to execute efficiently across different hardware architectures.

They are looking for a Runtime Engineer to build the systems layer responsible for turning optimized compiler output into reliable, high-performance execution. You will work closely with compiler and hardware engineers across runtime architecture, parallel execution, scheduling and performance analysis.

• Design a portable runtime for AI workloads
• Build workload partitioning, parallel execution and kernel-scheduling capabilities
• Prototype new runtime techniques and evaluate them against real hardware
• Benchmark compiled workloads and diagnose performance bottlenecks
• Develop profiling tools that inform compiler and runtime improvements
• Help evolve the platform around real ML workloads and deployment requirements

• 4+ years in compiler, runtime or low-level systems engineering
• Strong modern C++
• Deep knowledge of concurrency and asynchronous execution
• Understanding of memory hierarchies and vector/scalar compute
• Experience with OS kernels, hypervisors or similarly low-level systems

Experience with CUDA, ROCm, GPU programming, HPC, large compute clusters, PyTorch, JAX or Triton would be particularly valuable.

This is an opportunity to own a foundational part of a new AI compute platform, working directly between compiler output, hardware execution and distributed systems.