Compiler Engineer

Compiler Engineer

We’re partnered with an AI infrastructure company building next-generation systems for large-scale AI workloads.

Their platform is rethinking how AI execution runs across heterogeneous hardware — dynamically partitioning workloads, optimizing execution paths, and orchestrating inference across multiple accelerator types to unlock major gains in performance and efficiency.

What You’ll Work On

• Building compiler pipelines for large-scale AI inference workloads
• Designing and evolving multi-level IRs across graph, tensor, and kernel representations
• Implementing lowering and partitioning strategies across heterogeneous hardware
• Optimizing execution for latency, throughput, and memory efficiency
• Improving scheduling, kernel orchestration, and runtime behavior
• Working on compiler infrastructure spanning execution systems, runtime optimization, and memory movement
• Integrating new model architectures and inference execution patterns into the stack
• Collaborating closely with runtime, systems, and kernel engineers to drive end-to-end performance improvements

What They’re Looking For

• Strong systems and performance engineering fundamentals
• Experience building compiler systems or compiler-adjacent infrastructure
• Deep understanding of execution behavior, memory systems, and hardware efficiency
• Experience with MLIR, LLVM, XLA, TVM, Triton, or similar compiler/runtime infrastructure
• Familiarity with IR transformations, compiler passes, lowering systems, or runtime optimization
• Experience working with GPUs, AI accelerators, or heterogeneous compute environments
• Strong C++ and/or Python engineering skills

Why Join

• Work on cutting-edge compiler infrastructure for modern AI systems
• Solve hard problems across inference, runtimes, scheduling, and heterogeneous execution
• Build foundational infrastructure for next-generation AI workloads
• Small, deeply technical engineering team
• Significant ownership and technical impact from day one