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Junior Machine Learning Compiler Engineer Jobs (NOW HIRING)

NVIDIA

Senior AI Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

They are seeking a Machine Learning Compiler Engineer with expertise in compiler technologies to innovate in machine learning and development tools, influencing global products. Responsibilities ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

$160K - $240K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Lead a team of engineers focused on advancing machine learning compiler technologies for cutting-edge AI ...

Qualcomm

Machine Learning Compiler

Raleigh, NC

$160K - $240K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Lead a team of engineers focused on advancing machine learning compiler technologies for cutting-edge AI ...

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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 AI Compiler Engineer

Senior AI Compiler Engineer

NVIDIA

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Posted 20 days ago

Job description

Job Summary:
NVIDIA is a leader in computer graphics and accelerated computing, now focusing on the potential of AI for the next era of computing. They are seeking a Machine Learning Compiler Engineer with expertise in compiler technologies to innovate in machine learning and development tools, influencing global products.
Responsibilities:
• Become part of the team committed to progressing novel and inventive solutions in compilers and development tools, focusing on applied machine learning and artificial intelligence.
• Join committed team members in leading tech sectors.
• Innovate in machine learning, system design, and more.
• Influence global products.
Qualifications:
Required:
• BS/MS/PhD in Computer Science or related field (or equivalent experience) with focus on machine learning and compiler development tools
• 8+ years of software engineering and ML experience (tools development preferred)
• Strong knowledge of compilers, code generation, and GPU architecture
• Demonstrated technical proficiency and hands-on experience in Python, C/C++, Julia, and Lisp/Scheme
• Solid mathematical and scientific foundation relevant to ML and compiler technologies
Preferred:
• Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems
• Expertise in developing and deploying AI/ML solutions to production environments and embedded systems
• Hands-on experience building compilers or compiler components using the LLVM framework, including optimization passes, code generation, or frontend integration
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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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