1

Assistant Compiler Software Engineer Jobs (NOW HIRING)

Software Engineer, AI Compiler Austin, Texas, United States Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost ...

Software Engineer - Compiler

Mountain View, CA · On-site +1

$175K - $400K/yr

Software Engineer - Compiler Mountain View, CA MatX is on a mission to be the compute platform for AGI. We are developing vertically integrated full-stack solutions from silicon to systems including ...

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 ...

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 ...

Software Engineer II: AI Compiler Engineer

Austin, TX · Hybrid

$96K - $132K/yr

As a Software Engineer II: AI Compiler Engineer you will work with complex high performance SoC's, and is one of the best kept secrets within the semi IP world powering AR/VR, HiFi Audio and Speech ...

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 ...

next page

Showing results 1-20

Assistant Compiler Software Engineer information

See salary details

$33K

$88.8K

$134.5K

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

As of Jun 18, 2026, the average yearly pay for assistant compiler software engineer in the United States is $88,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $104,500.00 per year, depending on experience, location, and employer.

Will AI replace coders by 2040?

As an Assistant Compiler Software Engineer, it is unlikely that AI will fully replace human coders by 2040. AI tools can automate routine coding tasks and assist in debugging, but complex problem-solving, creativity, and understanding context remain human strengths. Coders will continue to adapt by developing skills in AI integration and advanced programming techniques.

What is L1, L2, L3, and L4 developer?

In the context of an Assistant Compiler Software Engineer, L1, L2, L3, and L4 typically refer to different levels of developer seniority or experience, with L1 being entry-level and L4 representing senior or lead roles. These levels often indicate increasing expertise, responsibility, and complexity of tasks handled, and they may correspond to specific skills such as proficiency with compiler design, programming languages, and development tools. Progression through these levels usually involves gaining experience, technical skills, and sometimes certifications or advanced knowledge in software development.

What is the difference between Assistant Compiler Software Engineer vs Compiler Software Engineer?

AspectAssistant Compiler Software EngineerCompiler Software Engineer
Required CredentialsBachelor's degree in Computer Science or related field; some experience or internshipsBachelor's or Master's degree; more experience in compiler development
Work EnvironmentEntry-level, team-based, collaborative projectsMid-level to senior, focused on designing and optimizing compilers
Industry UsageTech companies, research labs, startupsEstablished tech firms, software development companies

The Assistant Compiler Software Engineer typically has less experience and focuses on supporting compiler development tasks, while the Compiler Software Engineer handles more complex design, optimization, and implementation responsibilities. Both roles require a strong foundation in programming and compiler theory, but the seniority and scope differ.

What is the salary of a compiler engineer?

The salary of a compiler engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in compiler design and optimization can earn higher salaries, often exceeding $160,000.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Roles like principal engineers, engineering managers, or those working in tech giants often reach this compensation level, which may include bonuses and stock options.
More about Assistant Compiler Software Engineer jobs
What cities are hiring for Assistant Compiler Software Engineer jobs? Cities with the most Assistant Compiler Software Engineer job openings:
What are the most commonly searched types of Compiler Software Engineer jobs? The most popular types of Compiler Software Engineer jobs are:
What states have the most Assistant Compiler Software Engineer jobs? States with the most job openings for Assistant Compiler Software Engineer jobs include:
What job categories do people searching Assistant Compiler Software Engineer jobs look for? The top searched job categories for Assistant Compiler Software Engineer jobs are:
Infographic showing various Assistant Compiler Software Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 92% Full Time, 1% Part Time, 1% Temporary, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $88,754 per year, or $42.7 per hour.
Senior Deep Learning Compiler Engineer - XLA

Senior Deep Learning Compiler Engineer - XLA

Nvidia

Santa Clara, CA

$122K - $168K/yr

Full-time

Posted 21 days ago


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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 1, 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