We're working with a well-funded start-up building a new compiler and software stack for high-performance accelerated computing.

This role sits in the middle of the compiler, transforming models and computational graphs into efficient programs for a recent accelerator architecture. You'll own optimizations that materially affect workload performance rather than maintaining an established toolchain.

What you'll work on

Design graph and IR-level compiler optimizations

Develop transformation, fusion, scheduling and memory-planning passes

Lower workloads through MLIR-based compilation pipelines

Optimize data movement, parallelism and accelerator utilization

Analyze generated programs and eliminate performance bottlenecks

Collaborate with architecture, code-generation and runtime engineers





Help define how ML workloads should map onto the underlying hardware

What we're looking for

Strong C++ and compiler engineering experience

Hands-on knowledge of LLVM, MLIR or comparable compiler infrastructure

Experience with graph optimization, IR transformations or lowering

Ability to reason across compiler decisions and hardware behavior

Experience with PyTorch compilation, Triton, GPUs, AI accelerators, memory optimization or hardware/software co-design would be particularly valuable.

This is an opportunity to shape a compiler while both the software stack and target architecture are still evolving.

📌 Compiler Engineer (Winnipeg)
🏢 Oho Group
📍 Winnipeg