Pioneering Analog Compute for AI
Compiler Engineer – Machine Learning Compiler
Location
California
Posted
1 day ago
Salary
Not specified
Seniority
Senior
Job Description
Job Requirements
- 3+ years of experience building compilers or high-performance systems software, especially those involving complex resource management or optimization.
- Expert in modern C++ (C++14/17/20) and strong Python.
- Experience with compiler IRs (SSA-based or graph-based), transformations, and code generation
- Exposure to specialized accelerators (GPU, NPU, FPGA, or custom ASIC) or parallel architectures
- 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
Benefits
- Competitive compensation, equity, and benefits package
- A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design. We foster an environment of shared learning and technical excellence
- The opportunity to shape how deep learning and LLM workloads are compiled on novel hardware.
- A role that spans software and hardware co-design, shaping both the compiler and the accelerator architecture
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