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Junior Machine Learning Compiler Engineer Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX

$103K - $142K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

OR · On-site

$104K - $143K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia Corporation

Senior AI Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate will bring broad experience across the machine learning ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA

$117K - $160K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior AI Compiler Engineer

Austin, TX

$103K - $142K/yr

We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate will bring broad experience across the machine learning ...

Nvidia

Senior AI Compiler Engineer

Redmond, WA

$117K - $160K/yr

We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate will bring broad experience across the machine learning ...

Nvidia

OR · On-site

$104K - $143K/yr

We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate will bring broad experience across the machine learning ...

Nvidia

Senior AI Compiler Engineer

Santa Clara, CA

$122K - $168K/yr

We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate will bring broad experience across the machine learning ...

TetraMem Inc

Compiler Engineer

San Jose, CA · On-site

$160K - $300K/yr

Design, develop, and maintain compiler toolchains that translate machine learning models from ... Mentor junior engineers, contribute to technical documentation, and help define the long-term ...

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Junior Machine Learning Compiler Engineer information

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$33.5K

$71.8K

$109.5K

How much do junior machine learning compiler engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for junior machine learning compiler engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are typical projects and responsibilities for a Junior Machine Learning Compiler Engineer in a collaborative team setting?

As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.

What does a Junior Machine Learning Compiler Engineer do?

A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Compiler Engineer, and why are they important?

To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.

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

AspectJunior Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworksBachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization for ML modelsData analysis teams, focusing on data interpretation and model development
Employer & Industry UsageTech companies, AI startups, hardware firmsTech firms, finance, healthcare, research institutions

The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.

More about Junior Machine Learning Compiler Engineer jobs
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Junior Machine Learning Compiler Engineer jobs near you
Infographic showing various Junior Machine Learning Compiler Engineer job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 94% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.
Senior Deep Learning Compiler Engineer

Senior Deep Learning Compiler Engineer

Nvidia

Austin, TX

$103K - $142K/yr

Full-time

Posted 15 days ago

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world

We are looking for a Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Tine and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.

What you'll be doing:

  • Analyzing deep learning networks and developing compiler optimization algorithms.

  • Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.

  • Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience

  • 3+ years of relevant work or research experience in performance analysis and compiler optimizations.

  • Ability to work independently, define project goals and scope, and lead your own development efforts.

  • Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

  • Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.

  • Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.

  • Experience with the following technologies: MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.

  • GPU kernel generation with high performance and fast build time.

  • A track record of success in mentoring junior engineers and interns is a bonus.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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