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Ml Compiler Engineer Jobs (NOW HIRING)

Tenstorrent

GCC Compiler Engineer

Austin, TX · On-site

$100K - $500K/yr

Collaborate with ML engineers to identify and implement compiler support for emerging AI workloads and frameworks. What You'll Learn * How compiler design directly impacts the performance and ...

Nvidia

Senior Compiler Engineer - AI

Redmond, WA

$137K - $180K/yr

We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ... Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies. * Hands ...

Nvidia

Senior Compiler Engineer - AI

Austin, TX

$121K - $160K/yr

We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ... Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies. * Hands ...

Neurophos

Staff Compiler Engineer

Austin, TX · On-site

The Staff Compiler Engineer will lead the development of compilers for their novel LLM accelerator ... ML frameworks (e.g., PyTorch, JAX, Triton) • Build and maintain test infrastructure to ensure ...

DensityAI

Compiler Engineer -- MLIR

Mountain View, CA

$200K - $360K/yr

... compiler engineering experience, with hands-on MLIR contributions or equivalent IR-design ... Strong C++ fluency and experience integrating with ML frameworks (PyTorch, JAX, ONNX, TensorFlow ...

DensityAI

Compiler Engineer - MLIR

Mountain View, CA · On-site

$200K - $360K/yr

... compiler engineering experience, with hands-on MLIR contributions or equivalent IR-design ... Strong C++ fluency and experience integrating with ML frameworks (PyTorch, JAX, ONNX, TensorFlow ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

$160K - $240K/yr

Drive innovation in ML compiler optimization algorithms, leveraging advanced mathematics, programming language theory, and modern compiler techniques. * Oversee feature design, code reviews, and ...

Nvidia

Senior Compiler Engineer Infrastructure

Redmond, WA · On-site +1

$121K - $165K/yr

We are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler ... Practical experience applying AI or ML-based tools to improve engineering workflows * Background in ...

Nvidia

Senior Compiler Engineer Infrastructure

Santa Clara, CA · On-site +1

$127K - $173K/yr

We are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler ... Practical experience applying AI or ML-based tools to improve engineering workflows * Background in ...

Persimmons

Compiler Engineer (Frontend)

San Jose, CA · On-site

Design and build the compiler that converts AI models from popular ML frameworks into assembly code ... Provide technical leadership across the compiler team, mentoring engineers in advanced compiler ...

Persimmons

Compiler Engineer (Frontend)

San Jose, CA · On-site

Design and build the compiler that converts AI models from popular ML frameworks into assembly code ... Provide technical leadership across the compiler team, mentoring engineers in advanced compiler ...

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Ml Compiler Engineer information

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$33K

$89.2K

$142K

How much do ml compiler engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for ml compiler engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.

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.
More about Ml Compiler Engineer jobs
What cities are hiring for Ml Compiler Engineer jobs? Cities with the most Ml Compiler Engineer job openings:
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Ml Compiler Engineer jobs near you
Infographic showing various Ml Compiler Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $89,183 per year, or $42.9 per hour.

GCC Compiler Engineer

Tenstorrent

Austin, TX • On-site

$100K - $500K/yr

Full-time

Re-posted 28 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.
We are seeking a GCC Compiler Engineer to design, develop, and optimize compilers for next-generation RISC-V and AI compute architectures. You will work across hardware and software teams to improve performance, programmability, and integration of our custom toolchains into real applications. This role is fully hands-on and central to how developers interact with Tenstorrent hardware across both traditional compute and advanced machine learning workloads.
This role isHybrid, based out of Santa Clara, CA, Austin, TX, or Toronto, ON.
We welcome candidates at various experience levels for this role. 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
  • Experienced compiler engineer with deep knowledge of GCC and LLVM internals, comfortable optimizing for custom hardware targets.
  • Strong C/C++ developer with a solid grasp of algorithms, data structures, and performance analysis.
  • Collaborative and analytical, able to work across hardware and software domains to deliver efficient, high-performance toolchains.
  • Passionate about enabling breakthrough compute architectures through compiler innovation and software-hardware co-design.

What We Need
  • Design, develop, and optimize GCC and/or LLVM compilers for Tenstorrent's custom RISC-V hardware and AI vector engines.
  • Contribute to the co-design of Tenstorrent's hardware and software stack to maximize performance and programmability.
  • Benchmark, analyze, and tune performance of core applications across RISC-V and AI software environments.
  • Collaborate with ML engineers to identify and implement compiler support for emerging AI workloads and frameworks.

What You'll Learn
  • How compiler design directly impacts the performance and efficiency of next-generation RISC-V and AI architectures.
  • Advanced techniques in hardware-software co-optimization and compiler-driven performance tuning.
  • Integration of custom compilers with leading ML frameworks and runtime environments.
  • The end-to-end toolchain flow that enables Tenstorrent's scalable, high-performance AI compute systems.

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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