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From Home Machine Learning Compiler Engineer Jobs in Texas

SEMRON is redefining what's possible in AI hardware, and they are seeking a Compiler Developer to ... machine learning compiler infrastructure like MLIR/IREE or TVM • experience in polyhedral ...

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Ways to stand out from the crowd: * Proficient in CPU and/or GPU architecture. CUDA or OpenCL ...

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

The ideal candidate brings broad experience across machine learning, including reinforcement ... Design and implement end-to-end compiler optimization workflows, from feature engineering and model ...

Senior Compiler Engineer - AI

Austin, TX

$121K - $160K/yr

The ideal candidate brings broad experience across machine learning, including reinforcement ... Design and implement end-to-end compiler optimization workflows, from feature engineering and model ...

GCC Compiler Engineer

Austin, TX · On-site

$100K - $500K/yr

... machine learning workloads. This role isHybrid, based out of Santa Clara, CA, Austin, TX, or ... Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable ...

Compiler Engineer

Austin, TX · On-site

$128K - $211K/yr

This position is perfect for individuals who thrive on constant learning, diving deep into complex ... Resolving inquiries from customers, support engineers, and internal users You Should Demonstrate ...

Senior Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

Grow with us Senior Compiler Engineer Austin, Texas This is not a remote work opportunity. The ... The compiler takes ML models from StableHLO through orchestration, tiling, memory planning, and ...

Experience developing and deploying machine learning models Compensation: The compensation ... Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you ...

The Staff Compiler Engineer will lead the development of compilers for their novel LLM accelerator ... learning frameworks and neural network optimization Company : Neurophos develops photonic AI ...

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From Home Machine Learning Compiler Engineer information

What is the difference between From Home Machine Learning Compiler Engineer vs From Home Data Scientist?

AspectFrom Home Machine Learning Compiler EngineerFrom Home Data Scientist
Required SkillsProgramming (C++, Python), compiler design, ML frameworksStatistics, data analysis, programming (Python, R), visualization
Work EnvironmentRemote, software development teams, tech companiesRemote, analytics teams, research institutions
Industry UsageTech, AI, hardware optimizationTech, finance, healthcare, research

While both roles often work remotely and require programming skills, the Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Data Scientist analyzes data to generate insights. They serve different functions within tech and research industries but may collaborate on AI projects.

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Compiler Engineer - Machine Learning Compiler

Mythic

Austin, TX

Full-time

Re-posted 12 days ago


Job description

About us

Mythic is building the future of AI computing with breakthrough analog technology that delivers 100 the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications-whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive, aerospace, and defense.
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.

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.
Here's what you will do
  • 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
Here's the background we hope you will have
  • 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
The following would be nice to have, but is not required
  • 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
What we offer
  • 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
  • A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design. We foster an environment of shared learning and technical excellence
  • Competitive compensation, equity, and benefits package
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
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