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Ml Compiler Engineer Jobs in Texas (NOW HIRING)

Tenstorrent

Software Engineer, AI Compiler

Austin, TX · On-site

$100K - $500K/yr

Alignment with hardware, software, and ML teams to ensure the compiler supports realistic ... Insight to identify bottlenecks, debug performance issues, and improve developer workflows across ...

Mythic

Senior Silicon Emulation Engineer

Austin, TX · On-site

$120K - $225K/yr

The engineer will work closely with RTL, verification, compiler, firmware, and ML software teams to ensure functional correctness, performance targets, and system-level integration of AI workloads.

Mythic

Senior Silicon Emulation Engineer

Austin, TX · On-site

$120K - $225K/yr

The engineer will work closely with RTL, verification, compiler, firmware, and ML software teams to ensure functional correctness, performance targets, and system-level integration of AI workloads.

Mythic

Senior Silicon Emulation Engineer

Austin, TX

$120K - $225K/yr

The engineer will work closely with RTL, verification, compiler, firmware, and ML software teams to ensure functional correctness, performance targets, and system-level integration of AI workloads.

Tenstorrent

AI/ML Physical Design Flow Engineer

Austin, TX · On-site

$100K - $500K/yr

The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical ... Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA ...

Olix Computing

Infrastructure Engineer

Austin, TX · On-site

£88K/yr

... and compiler engineers ship without waiting on you. * Tune for performance: optimise networking ... A collaborative communicator who can work with hardware and ML engineers and explain infrastructure ...

Apple

GenAI Physical Synthesis Engineer

Austin, TX · On-site

$134K - $138K/yr

... Compiler or Genus Scripting skills in TCL, Python, or Perl for EDA tool automation Minimum ... AI/ML libraries (PyTorch, TensorFlow, Transformers) and MCP or similar agentic frameworks ...

Info Way Solutions

AI Tool Developer

Plano, TX · On-site

Required : • 5+ years of experience building AI/ML or NLP‐based solutions, including prompt ... or compiler/AST‐type transformations. • Familiarity with LEAP/MM automation concepts or ...

Apple

GenAI Physical Synthesis Engineer

Austin, TX

$150K - $277K/yr

... Compiler, Genus) to create seamless AI-enhanced workflows Collaborate with cross-functional teams ... AI/ML libraries (PyTorch, TensorFlow, Transformers) and MCP or similar agentic frameworks ...

Apple

GenAI Physical Synthesis Engineer

Austin, TX

$150K - $277K/yr

... Compiler, Genus) to create seamless AI-enhanced workflows Collaborate with cross-functional teams ... AI/ML libraries (PyTorch, TensorFlow, Transformers) and MCP or similar agentic frameworks ...

Neurophos Inc

Firmware Engineer

Austin, TX · On-site

$125K - $150K/yr

Cross-Compilation: Hands-on experience with cross-compiler toolchains (preferred ... ML Hardware: Experience with AI/ML accelerators (GPUs, TPUs, FPGAs) and their programming models

Neurophos

Firmware Engineer

Austin, TX · On-site

$110 - $150/hr

Cross-Compilation: Hands-on experience with cross-compiler toolchains (preferred ... ML Hardware: Experience with AI/ML accelerators (GPUs, TPUs, FPGAs) and their programming models

Neuralink

Digital IC Design Engineer

Austin, TX

$134K/yr

... AI/ML accelerators, and communication PHY/MAC will be preferred. * Micro-architecture design and ... Experience in compiler back-end design and customization

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All JobsMl Compiler Engineer JobsMl Compiler Engineer Jobs in Texas

Ml Compiler Engineer information

What does an ML Compiler Engineer do?

An ML Compiler Engineer designs and develops compilers and software tools that optimize machine learning models for deployment on various hardware platforms. Their work involves translating high-level ML code into optimized, low-level instructions that can run efficiently on CPUs, GPUs, or specialized accelerators. They collaborate closely with hardware engineers and ML researchers to ensure models execute quickly and accurately. Additionally, ML Compiler Engineers may work on improving performance, reducing memory usage, and supporting new ML frameworks or hardware.

What are some typical collaboration points between an ML Compiler Engineer and other teams during a project?

ML Compiler Engineers frequently collaborate with machine learning researchers to understand model requirements, with hardware engineers to optimize for specific accelerators, and with software developers to ensure seamless integration into production systems. This role often involves participating in cross-functional meetings, code reviews, and design discussions to align compiler optimizations with both hardware capabilities and end-user needs. Effective communication and teamwork are essential, as these engineers play a central role in bridging the gap between algorithm design and efficient execution on target platforms.

What is the difference between Ml Compiler Engineer vs Machine Learning Engineer?

AspectMl Compiler EngineerMachine Learning Engineer
Required SkillsProgramming, compiler design, optimization, ML frameworksData analysis, model development, programming, ML frameworks
Work EnvironmentResearch labs, tech companies, AI hardware firmsTech companies, startups, data-driven organizations
CertificationsComputer science, software engineering, specialized compiler coursesMachine learning, data science, AI certifications
Industry UsageAI hardware, software optimization, ML infrastructureModel development, deployment, data analysis

While both roles involve machine learning, Ml Compiler Engineers focus on optimizing ML models through compiler design and software performance, whereas Machine Learning Engineers develop and deploy ML models for applications. The roles often overlap in skills but differ in their primary focus areas.

What are the key skills and qualifications needed to thrive as an ML Compiler Engineer, and why are they important?

To thrive as an ML Compiler Engineer, you need a strong background in computer science, compiler design, machine learning concepts, and typically a degree in computer science or a related field. Familiarity with tools like LLVM, MLIR, TensorFlow XLA, and programming in C++ and Python is often required, along with experience in optimizing machine learning workloads. Strong problem-solving abilities, attention to detail, and effective collaboration skills help set top professionals apart. These skills ensure efficient translation and optimization of ML models for diverse hardware, enhancing performance and scalability.
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Ml Compiler Engineer jobs near you
Infographic showing various Ml Compiler Engineer job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Software Engineer, AI Compiler

Tenstorrent

Austin, TX • On-site

$100K - $500K/yr

Full-time

Re-posted 21 days ago

Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Join the team revolutionizing AI computing at Tenstorrent. In this role you will lead development on TT-Forge, our MLIR-based compiler, and manage a team focused on scaling graph transformations, lowering passes, and kernel-level optimizations. You'll help shape the future of AI computing through compiler technology that is fast, flexible, and built for real-world models.
This role is hybrid based in Austin, TX.
We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who You Are
  • Leadership to drive compiler development across multiple layers of the stack, including custom dialects, transformation passes, and runtime integration.
  • Alignment with hardware, software, and ML teams to ensure the compiler supports realistic performance and deployment needs.
  • Technical ownership of roadmap priorities, planning, and mentorship for a high-performing engineering team.
  • Insight to identify bottlenecks, debug performance issues, and improve developer workflows across the stack.

What We Need
  • Experience building compilers or similar systems, with strong fluency in C++ and Python.
  • Strong knoweledge of MLIR, LLVM, or related infrastructure, with hands-on work in dialect design or optimization passes.
  • You have a strong understanding of modern AI frameworks like PyTorch, TensorFlow, or JAX, including how models are transformed and executed.
  • A background in working across teams to ship reliable, scalable tools in fast-paced engineering environments.

What You'll Learn
  • How to build compiler infrastructure that supports both training and inference at scale across custom chip architectures.
  • New approaches for human-in-the-loop optimization using TT-Explorer and other internal tooling.
  • Best practices for evolving MLIR dialects like TTIR, TTNN, and TTKernel to support next-generation AI workloads.
  • How Tenstorrent delivers open, performant, and developer-friendly AI infrastructure that scales with industry demands.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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