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Junior Compiler Software Engineer Jobs (NOW HIRING)

The Browser Company

Software Engineer, Compiler

Browsers are unique in that they are one of the only pieces of software that you share with your ... As a Compiler Engineer at The Browser Company, you'll advance Windows support for Swift and build ...

Tenstorrent

Software Engineer, AI Compiler

Austin, TX · Hybrid

$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 ...

Sigma Computing

Software Engineer - Compiler

New York, NY · On-site

$170K - $235K/yr

As a member of the Compiler Team, you will join a group of engineers dedicated to building the core ... high-quality software systems * Demonstrated success building and maintaining complex ...

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 ...

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How much do junior compiler software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for junior compiler software engineer in the United States is $94,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $95,500.00 per year, depending on experience, location, and employer.

What does a junior compiler software engineer do?

A Junior Compiler Software Engineer assists in the development, optimization, and maintenance of compiler software. They typically work under the guidance of more senior engineers to write code that translates programming languages into machine code, debug issues, and ensure programs run efficiently on various hardware. Their responsibilities may include implementing new features, fixing bugs, writing tests, and collaborating with other team members. This role usually requires a solid understanding of programming languages, data structures, algorithms, and computer architecture.

What are the key skills and qualifications needed to thrive as a junior compiler software engineer?

To thrive as a Junior Compiler Software Engineer, you need a solid understanding of programming languages, computer architecture, and compiler theory, usually supported by a degree in computer science or a related field. Familiarity with C/C++, LLVM, GCC, debugging tools, and version control systems like Git is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate and tackle complex technical challenges. These skills and tools are essential for developing efficient, reliable compilers and contributing to high-quality software projects.

What are some typical challenges faced by junior compiler software engineers when working on large codebases?

Junior Compiler Software Engineers often encounter challenges such as understanding legacy code, navigating complex codebases, and adapting to different compiler architectures. Collaborating with senior engineers to debug intricate issues and ensuring that new features or optimizations maintain backward compatibility are common tasks. Over time, juniors develop strong problem-solving skills and a deeper understanding of compiler theory and systems programming, which are essential for career growth in this field.
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Junior Compiler Software Engineer jobs near you
Infographic showing various Junior Compiler Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $94,542 per year, or $45.5 per hour.

Senior Deep Learning Compiler Engineer - XLA

Nvidia

Austin, TX

$103K - $142K/yr

Full-time

Re-posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We are looking for versatile software engineers for our XLA team. NVIDIA is at the center for the AI revolution that's transforming how people live, work, and interact with technology. Come join us to build high-performance, production-grade software that's at the core of next-generation AI systems.

What you will be doing:

In this role, develop compiler optimization algorithms for deep learning workloads. You will optimize inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You'll collaborate with our partners in deep learning framework teams and our hardware architecture teams to accelerate the next generation of deep learning software. The scope of these efforts include:

  • Crafting and implementing compiler optimization techniques for deep learning network graphs.

  • Designing novel graph partitioning and tensor sharding techniques for distributed training and inference.

  • Performance tuning and analysis.

  • Code-generation for NVIDIA GPU backends using open-source compilers such as MLIR, LLVM and OpenAI Triton.

  • Designing user facing features in JAX and related libraries and other general software engineering work.

  • Working closely with GPU hardware engineering teams to design AI compiler software features for next-generation GPUs.

What we need to see:

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

  • 4+ 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 effort adopting clean software engineering and testing practices.

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

  • Strong foundation in architecture of CPU, GPUs or other high performance hardware accelerators. Knowledge of high-performance computing and distributed programming.

  • CUDA or OpenCL programming experience is desired but not required.

  • Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, and deep learning framework design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. A history of mentoring junior engineers and interns is a bonus.

Ways to stand out from the crowd:

  • Experience working deep learning frameworks such as JAX, PyTorch or TensorFlow.

  • Extensive experience with CUDA or with GPUs in general.

  • Experience with open-source compilers such as XLA, LLVM, MLIR or TVM.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 18, 2026.

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

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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