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Entry Level Compiler Software Engineer Jobs in California

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 - Compiler

Mountain View, CA · On-site +1

$175K - $400K/yr

Possess outstanding software engineering skills with a focus on efficiency and performance * Possess experience in compiler algorithms, demonstrating proficiency in areas such as register allocation ...

Possess outstanding software engineering skills with a focus on efficiency and performance * Possess experience in compiler algorithms, demonstrating proficiency in areas such as register allocation ...

Our next-generation software stack combines an intuitive command/control interface, a specialized ... Role Overview We're seeking an exceptional Compiler Engineer to join our core platform team. You'll ...

We're building a new kind of software stack: a hardware-agnostic platform that makes every system ... Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any ...

#Embedded Software Engineer

San Diego, CA · On-site

$139K - $183K/yr

Engineering Group, Engineering Group > Software Engineering General Summary: ** This position is ... Experience in Compiler and JIT technologies is a plus * Experience with optimizing for popular CPU ...

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Entry Level Compiler Software Engineer information

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

In the context of an Entry Level Compiler Software Engineer, L1, L2, L3, and L4 typically refer to different levels of developer seniority or experience within a company's engineering hierarchy. L1 is usually an entry-level position, while L2 and L3 indicate increasing experience and responsibility, and L4 often signifies a senior or lead role. These levels can influence salary, expectations, and the complexity of tasks assigned, and they often require progressively advanced skills in programming, debugging, and compiler design.

Will AI replace software engineers in 2040?

Entry level compiler software engineers develop tools that translate code into machine language, and AI is expected to augment rather than replace such roles by automating routine tasks. Skills in programming languages, understanding of compiler design, and familiarity with AI tools will remain valuable for adapting to technological advancements in the field.

What engineers make $300,000 a year?

Senior software engineers, including those specializing in compiler development, often reach or exceed a $300,000 annual salary, especially with extensive experience, advanced skills in programming languages, and work in high-paying industries or companies. Compensation can also include bonuses, stock options, and other benefits, particularly in tech hubs or large organizations.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, data science, or machine learning can earn $500,000 or more annually, especially in senior or executive roles. Achieving this level often requires advanced skills, extensive experience, and sometimes leadership responsibilities or stock options in tech companies.

What is the difference between Entry Level Compiler Software Engineer vs Entry Level Software Developer?

AspectEntry Level Compiler Software EngineerEntry Level Software Developer
Required CredentialsBachelor's in Computer Science or related field; knowledge of compiler designBachelor's in Computer Science or related field; general programming skills
Work EnvironmentResearch labs, development teams focused on language toolsVarious industries including tech, finance, startups; broad application areas
Industry UsagePrimarily in compiler development, programming language companiesAcross multiple sectors developing software applications
Common Search/ComparisonOften compared for specialization in language toolsMore general, broader role

Entry Level Compiler Software Engineers focus on developing and optimizing compilers and language tools, requiring specialized knowledge of compiler architecture. Entry Level Software Developers have a broader scope, working on various software applications across industries. While both roles require a bachelor's degree in a related field, compiler engineers need specific skills in language processing, making them more specialized.

What are the most commonly searched types of Compiler Software Engineer jobs in California? The most popular types of Compiler Software Engineer jobs in California are:
What job categories do people searching Entry Level Compiler Software Engineer jobs in California look for? The top searched job categories for Entry Level Compiler Software Engineer jobs in California are:
Infographic showing various Entry Level Compiler Software Engineer job openings in California as of June 2026, with employment types broken down into 92% Full Time, 2% Part Time, 4% Contract, and 2% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Compiler Engineer, Compute Front-End - New College Grad 2026

Compiler Engineer, Compute Front-End - New College Grad 2026

NVIDIA

Santa Clara, CA

Other

Posted 16 days ago


Job description

We are looking for a highly motivated Compiler Software Engineer to join this dynamic and innovative CUDA Compiler team. You will craft compiler capabilities that enable development and deployment of high performance parallel applications on NVIDIA's next generation GPU's. Our team delivers language extensions and performance improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality.

In this role, as a leader on our team, you have the opportunity of working on the optimizing CUDA C++ compiler, a core component of our platform for accelerating general purpose computation on the GPU. The CUDA programming language defines a unified programming model across a range of system configurations and hardware capabilities. The compiler is responsible for translating parallel programs written in the CUDA/C++ programming language into microcode that is optimized for fast execution on NVIDIA's family of industry-leading GPU architectures. You will be solving challenging problems alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. If you’re excited by these challenges, we’d love to hear from you!

What you'll be doing:

  • Design and implement enhancements to the CUDA C++ compiler driver and front-end, ensuring tight integration with industry-leading third-party compiler software.

  • Contribute to the CUDA C++ programming language specification and its evolution factoring in support for new GPU hardware capabilities.

  • Drive language conformance, front-end robustness, and compile-time improvements that benefit a wide range of users, from deep learning researchers to safety-critical software developers.

  • Provide engineering support for the compiler and deliver targeted changes for production customer releases.

  • Establish strong customer/partner relationships and trust through excellent execution and high-quality software development.

What we need to see:

  • BS/MS/PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience)

  • 1+ years of experience in developing production compilers or related software

  • Knowledge of compiler front-end technology

  • Advanced C++ development skills, including experience working with large, modularized codebases.

  • Strong interpersonal, verbal and written communications skills

  • Capability to achieve objectives under tight deadlines

  • Experience executing tasks while managing competing priorities

  • Experience writing and debugging multithreaded programs

  • Deep understanding of technology and passion for what you do with strong teamwork, specifically a proven ability to effectively guide and influence within a dynamic matrix environment

Ways to stand out from the crowd:

  • Strong track-record in compiler engineering with EDG, LLVM-clang or other industrial strength compiler front-end

  • Prior work on domain-specific front-ends or IRs such as MLIR, including dialect development or integration with custom compilers.

  • CUDA C++ application development experience

  • Strong understanding of parallel programming concepts.

  • Experience working with Programming Language and programming language standards.

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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .

Applications for this job will be accepted at least until May 30, 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.


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