Compiler Engineer - Machine Learning Compiler jobs in United States
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Mythic · 3 months ago

Compiler Engineer - Machine Learning Compiler

positionUnited States
timeFull-time
remoteRemote
seniorityMid Level
date3+ years exp

Mythic is building the future of AI computing with breakthrough analog technology that delivers exceptional performance. They are seeking a Compiler Engineer to develop the compiler for their novel AI accelerator, working closely with hardware engineers and ML researchers to optimize deep learning workloads on advanced dataflow hardware.

AI InfrastructureArtificial Intelligence (AI)Computer VisionMachine LearningSemiconductorSoftware Engineering
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Contribute across the full compiler stack, including operator lowering, graph/IR transformations, optimization passes, and backend code generation
Optimize for dataflow architectures, developing pipelined schedules, memory orchestration, and resource-constrained execution strategies
Collaborate with hardware architects to influence architectural features, ensuring the compiler and hardware evolve together
Develop compilation strategies that unify our analog compute with digital subsystems
Build and maintain a compiler that produces high-performance binaries with strong debugging support, clear error messages, and predictable performance models

Qualification

Compiler developmentModern C++PythonCompiler IRsOptimization methodsSpecialized acceleratorsTechnical excellenceCollaborationProblem-solving

Required

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

Preferred

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

Company

Mythic

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Mythic develops analog matrix processors and key cards based on analog compute-in-memory.
dateFounded in 2012
location
Austin, Texas, USA
people-size11-50 employees
web-link
https://mythic.ai

H1B Sponsorship

Mythic has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (7)
2021 (4)
2020 (6)

Funding

Current Stage
Growth Stage
Total Funding
$289.65M
Key Investors
DCVCValor Equity PartnersSBVA
2025-12-17Series Unknown· $125M
2023-03-09Series Unknown· $13M
2021-05-11Series C· $70M

Leadership Team

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Dave Fick
CTO & Co-Founder
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