# Compiler Engineer - Machine Learning Compiler at Mythic

- Company: Mythic
- What the company does: Backed by NEA and Lux.
- Company website: https://mythic.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Palo Alto, CA
- Work setup: Remote
- Posted: 2025-10-03
- Apply by: 2026-10-08
- Apply: https://jobs.lever.co/mythic-ai.com/e820511b-5aeb-462c-92ac-ee71afe24d56
- Page: https://www.1752.vc/careers/jobs/mythic-compiler-engineer-machine-learning-compiler/

## About the role

Join us in building the next generation of AI compilers. You’ll play a key role in developing the compiler for our novel AI accelerator, working side-by-side with hardware engineers and ML researchers. Your work will shape how deep learning workloads run on cutting-edge dataflow hardware—defining the instruction set, execution model, and developer experience. The result: a compiler that delivers breakthrough performance while remaining seamless and intuitive for ML developers.

## What they're looking for

- Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with contributions to MLIR or LLVM projects a plus
- Experience with optimization methods (LP/MIP, CP, SAT/SMT) using solvers like Gurobi or OR-Tools for scheduling and resource allocation
- Experience compiling for specialized accelerators (GPU, NPU, FPGA, or custom ASIC) on DNN workloads, GPU/DSP experience is valuable if combined with compiler backend work beyond kernel tuning
- Familiarity with heterogeneous compilation, especially mixing custom accelerators with CPUs/GPUs/NPUs, and exposure to analog or in-memory compute is a plus
- Experience collaborating in compiler–hardware co-design (architecture + ISA) for better compiler usability and hardware efficiency

Tags: Compiler