... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
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 ...
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 ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
Deep Learning Compiler Engineer
OR · On-site +1
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
Deep Learning Compiler Engineer
OR · On-site +1
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
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 ...
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 ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
... learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped ...
Compiler Tools Engineer
Austin, TX · On-site
$117 - $175/hr
Engineering Group, Engineering Group > Compiler Toolchain SoftwareGeneral Summary ... Interested in enabling high-performance machine learning, signal processing, and multimedia ...
Compiler Tools Engineer
Austin, TX · On-site
$117 - $175/hr
Engineering Group, Engineering Group > Compiler Toolchain SoftwareGeneral Summary ... Interested in enabling high-performance machine learning, signal processing, and multimedia ...
Compiler Tools Engineer
Austin, TX · On-site
$81K - $109K/yr
Engineering Group, Engineering Group > Compiler Toolchain Software General Summary ... Interested in enabling high-performance machine learning, signal processing, and multimedia ...
Compiler Tools Engineer
Austin, TX · On-site
$81K - $109K/yr
Engineering Group, Engineering Group > Compiler Toolchain Software General Summary ... Interested in enabling high-performance machine learning, signal processing, and multimedia ...
Junior Machine Learning Engineer - Medical Imaging About Holobeam Holobeam Technologies is a cutting-edge medical technology company developing advanced medical imaging technologies designed to ...
Junior Machine Learning Engineer - Medical Imaging About Holobeam Holobeam Technologies is a cutting-edge medical technology company developing advanced medical imaging technologies designed to ...
... learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which ...
... learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which ...
Junior Machine Learning Engineer
Charlotte, NC · On-site
$65 - $90/hr
Junior Machine Learning Engineer Exp: 1-4 years (Entry level) Role and Responsibilities * 1-4 years of data analyst/ML/AI engineering work experience after your degree. * Must have experience with ...
Junior Machine Learning Engineer
Charlotte, NC · On-site
$65 - $90/hr
Junior Machine Learning Engineer Exp: 1-4 years (Entry level) Role and Responsibilities * 1-4 years of data analyst/ML/AI engineering work experience after your degree. * Must have experience with ...
Senior Deep Learning Compiler Engineer - XLA
OR · On-site +1
$104K - $143K/yr
In this role, develop compiler optimization algorithms for deep learning workloads. You will ... A history of mentoring junior engineers and interns is a bonus. Ways to stand out from the crowd:
Senior Deep Learning Compiler Engineer - XLA
OR · On-site +1
$104K - $143K/yr
In this role, develop compiler optimization algorithms for deep learning workloads. You will ... A history of mentoring junior engineers and interns is a bonus. Ways to stand out from the crowd:
Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$126K - $166K/yr
... learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which ...
Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$126K - $166K/yr
... learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which ...
GPU Compiler Engineer
Austin, TX · On-site
Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... Be part of a team that is at the center of deep-learning compiler technology spanning architecture ...
GPU Compiler Engineer
Austin, TX · On-site
Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ... Be part of a team that is at the center of deep-learning compiler technology spanning architecture ...
... learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which ...
... learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which ...
... learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which ...
... learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which ...
Junior Machine Learning Compiler Engineer information
See salary details
$33.5K - $40.4K
3% of jobs
$40.4K - $47.3K
20% of jobs
$48.8K is the 25th percentile. Wages below this are outliers.
$47.3K - $54.2K
7% of jobs
$54.2K - $61.1K
6% of jobs
$61.1K - $68K
12% of jobs
The median wage is $68.5K / yr.
$68K - $75K
17% of jobs
$78.6K is the 75th percentile. Wages above this are outliers.
$75K - $81.9K
17% of jobs
$81.9K - $88.8K
7% of jobs
$88.8K - $95.7K
4% of jobs
$95.7K - $102.6K
3% of jobs
$102.6K - $109.5K
2% of jobs
$33.5K
$71.8K
$109.5K
How much do junior machine learning compiler engineer jobs pay per year?
As of Sep 6, 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 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 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 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?
| Aspect | Junior Machine Learning Compiler Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworks | Bachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills |
| Work Environment | Software development teams, focusing on compiler optimization for ML models | Data analysis teams, focusing on data interpretation and model development |
| Employer & Industry Usage | Tech companies, AI startups, hardware firms | Tech 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.
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States with the most job openings for Junior Machine Learning Compiler Engineer jobs include:
What job categories do people searching Junior Machine Learning Compiler Engineer jobs look for?
The top searched job categories for Junior Machine Learning Compiler Engineer jobs are:
- Director Google Machine Learning Engineer
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Nvidia rating
9.6
Based on 18 frontline employees who took The Breakroom Quiz
6th of 247 rated software companies
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 hiring software engineers for the Tensor IR & CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image classification and other areas. Come join us to work with a top-notch team and have broad impact across the entire deep learning community.
What you'll be doing:
In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped with CUDA 13.1, and TensorIR is an open-source compiler infrastructure project that uses CUDA Tile to generate high-performance GPU kernels. You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across multiple generations of NVIDIA GPU architectures. The scope of these efforts includes defining public APIs, crafting and implementing compiler and optimization techniques, performance optimization, and other general software engineering work.
What we need to see:
Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering or a related field (or equivalent experience)
3+ years of relevant work or research experience in compiler optimization, performance analysis and IR design.
Ability to work independently, define project goals and scope, and lead your own development effort.
Excellent C/C++ 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:
Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience.
Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms.
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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
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