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From Home Machine Learning Compiler Engineer Jobs in Texas

Neurophos Inc

Staff Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

Familiarity with deep learning frameworks and neural network optimization Technical Skills * Programming Languages: Python and C (essential), Assembly * Compiler Frameworks: LLVM, MLIR, GCC, custom ...

Nvidia

Senior LLVM Compiler Engineer

Austin, TX

$103K - $142K/yr

Your influence will come not from authority, but from technical credibility, respect for community ... Familiarity with deep learning frameworks and performancecritical workloads on NVIDIA GPUs With ...

Qualcomm

Compiler Toolchain Engineer

Austin, TX · On-site

$98K - $148K/yr

... for machine learning, wireless communication, audio, and image processing applications on the ... at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to ...

Nvidia

Senior Compiler Engineer - Rust GPU

Austin, TX

$121K - $160K/yr

... CUDA PTX and machine code. * Build compiler IRs and Optimizers: Work with modern compiler ... Ways to stand out from the crowd: * A track record of contributing to the Rust compiler (rustc ...

Ericsson

Staff Compiler Design Engineer

Austin, TX · On-site

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

General Motors

Senior ML Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

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 ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ... Notice As permitted by applicable law and from time-to-time, Confie may use a computer system that ...

Pluralsight, LLC

Machine Learning Engineer

Westlake, TX · On-site

$160K/yr

You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or ... This role is primarily performed in an office or home office setting and involves standard computer ...

Dow Chemical

Machine Learning Engineer

Deer Park, TX · On-site

$130 - $190/hr

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions, you will work with a cross-functional team whose objective is to deliver solutions ...

Dow

Machine Learning Engineer

Houston, TX · On-site

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions , you will work with a cross-functional team whose objective is to deliver solutions ...

Dow Chemical

Machine Learning Engineer

Stafford, TX · On-site

$120 - $180/hr

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions, you will work with a cross-functional team whose objective is to deliver solutions ...

Dow

Machine Learning Engineer

Houston, TX · On-site

$120 - $160/hr

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions, you will work with a cross-functional team whose objective is to deliver solutions ...

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All JobsMachine Learning Compiler Engineer JobsFrom Home Machine Learning Compiler Engineer JobsFrom Home Machine Learning Compiler Engineer Jobs in Texas

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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From Home Machine Learning Compiler Engineer jobs near you

Staff Compiler Engineer

Neurophos Inc

Austin, TX • On-site

$250K - $315K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

About Neurophos
The demand for new data centers and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of traditional silicon. Conquering this bottleneck means rethinking the fundamental architecture of inference compute. The industry's current path can't meet the need, so we're taking a different approach.
Instead of traditional electronic circuits, we use silicon photonics and an active, programmable metasurface to perform matrix multiplications at the speed of light. Our optical cells are 10,000x smaller than traditional photonic components, enabling unprecedented density. By using photonics instead of electricity, our chips become more efficient as they scale. This architecture will deliver up to 100 times the energy efficiency of existing solutions while significantly improving performance for large-scale AI inference.
We've assembled a world-class team of industry veterans and recently raised a $110M Series A led by Gates Frontier. Participants include M12 (Microsoft's Venture Fund), Carbon Direct Capital, Aramco Ventures, Bosch Ventures, Tectonic Ventures, Space Capital, and others.
Join us and shape the future of computing!
Position Overview:
We are seeking a talented ML Compiler Engineer to join our engineering team and lead the development of our compiler. This role focuses on compiler development for our novel LLM accelerator architecture. This is one of several software stacks that seamlessly bridge high-level AI workloads with our custom hybrid optical-electronic compute hardware, enabling customers to realize game-changing performance.
Location: San Jose, CA or Austin, TX. Full-time onsite position.
Key Responsibilities:
  • Design and implement toolchains for our custom LLM accelerator architecture
  • Develop optimization strategies that bridge software algorithms to hardware implementations
  • Design and implement custom compiler components, including IR dialects, graph transformations, and lowering passes
  • Optimize computational graphs and memory access patterns for our hardware architecture
  • Integrate with existing ML frameworks (e.g., PyTorch, JAX, Triton).
  • Build and maintain test infrastructure to ensure compiler correctness and performance

Qualifications:
  • Master's degree in Computer Science or related field
  • 5+ years of experience in compiler development
  • Expert-level proficiency in Python and C
  • Experience with hardware compilers
  • Familiarity with Large Language Model architectures and their computational requirements
  • Hands-on experience with compiler frameworks and code optimization techniques
  • Deep understanding of computer architecture, memory hierarchies, and parallel computing concepts
  • Experience with AI/ML accelerators (GPUs, TPUs, FPGAs) and their programming models

Preferred Skills:
  • PhD in Computer Science or related field
  • 7+ years of industry experience
  • Strong background in graph theory and graph transformations in a compiler or optimization context; MLIR experience is a plus
  • Experience writing programs that parse, analyze, and mutate programs as abstract syntax trees
  • Experience in instrumenting and debugging parallel programs
  • Experience with structured, human-supervised AI/agentic coding workflows
  • Experience with LLM quantization techniques and model optimization
  • Experience with high-performance computing and low-latency system design
  • Familiarity with deep learning frameworks and neural network optimization

Technical Skills
  • Programming Languages: Python and C (essential), Assembly
  • Compiler Frameworks: LLVM, MLIR, GCC, custom backend development
  • Graph Theory: Graph algorithms, graph rewriting systems, DAG optimization
  • AST Processing: Parsing, analysis, and transformation of abstract syntax trees
  • Testing & QA: pytest, GoogleTest, or similar frameworks; static analysis tools
  • CI/CD: Jenkins, GitHub Actions, GitLab CI, or similar systems
  • LLM Technologies: Transformer architectures, attention mechanisms, quantization techniques
  • Development Tools: CMake, Git, Docker
  • Parallel Tools: Profilers, debuggers, and instrumentation for parallel/concurrent programs

Technical Environment
  • Languages: Python and C (primary), Assembly for low-level optimization
  • Compiler Tools: LLVM, MLIR, GCC, custom compiler backends
  • Testing: Automated test suites, continuous integration pipelines
  • Frameworks: PyTorch/JAX/Triton integration, custom inference engines
  • Focus Areas: Compiler backend development, optimization passes, hardware-software co-design

What We Offer
This is an opportunity to play a pivotal role in an innovative startup redefining the future of AI hardware. Work on game-changing technology at the intersection of photonics and AI as part of a collaborative, brilliant team. You'll contribute to a platform that redefines computational performance and accelerates the future of artificial intelligence. Come help us bring this transformative technology to the world.
Benefits
Join a team that invests in your future and your well-being. At Neurophos, we offer:
  • 100% coverage of base health plan premiums for you and your dependents, plus HSA contributions.
  • Unlimited PTO. No rigid vacation banks, just a focus on delivery.
  • 401(k) matching and stock option opportunities to ensure our success is your success.
  • Full suite of voluntary benefits, including Dental, Vision, Life, Hospital, Critical Illness, and Accident insurance.
  • Personalized Benefits. Choose the plans that fit your life and take the cash back for those that don't.

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