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Compiler Software Engineer Jobs in California (NOW HIRING)

Intel

Senior Compiler Engineer

Santa Clara, CA

$149.60K - $284.58K/yr

As a Senior Compiler Engineer, you will play a critical role in defining, designing, and advancing ... Develop, enhance, test, debug, release, andmaintaincompiler software for Intel's GPU programming ...

Qualcomm

GPU AI Compiler Engineer

San Diego, CA · On-site

Qualcomm Technologies, Inc. is a leading technology company specializing in engineering and graphics software. They are seeking a GPU AI Compiler Engineer to evaluate and improve performance of ...

Nvidia

Senior Compiler Engineer - DL

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...

Nvidia

Manager, Compiler Engineering

Santa Clara, CA · On-site

NVIDIA's HPC Compiler team is looking to hire a Compiler Engineering Manager to join the team ... A software engineer with 10+ overall years of experience with at least 4+ years of hands-on ...

Nvidia

Senior AI Inference Compiler Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...

Persimmons

Compiler Engineer (Frontend)

San Jose, CA · On-site

Collaborate with cross-functional teams to design, test, and optimize our hardware and software ... Provide technical leadership across the compiler team, mentoring engineers in advanced compiler ...

Intel

Compiler Engineer

Folsom, CA

$149.60K - $211.20K/yr

Collaborate with hardware architects and software developers to define and implement optimizations for nextgeneration Intel hardware. * Execute comprehensive testing and validation of compiler ...

Persimmons

Compiler Engineer (Frontend)

San Jose, CA · On-site

Collaborate with cross-functional teams to design, test, and optimize our hardware and software ... Provide technical leadership across the compiler team, mentoring engineers in advanced compiler ...

Nvidia

Senior Compiler Engineer - AI

Santa Clara, CA

$143.90K - $189.70K/yr

What we need to see: * BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools. * 8+ years of software engineering ...

Revel

Compiler Engineer

Los Angeles, CA

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 ...

Qualcomm

CPU Server Compiler Engineer

San Diego, CA · On-site

Engineering Group, Engineering Group > Compiler Toolchain Software General Summary: Are you passionate about maximizing server CPU performance and pushing the boundaries of optimization? Join our ...

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Compiler Software Engineer information

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$62.7K

$145.6K

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How much do compiler software engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for compiler software engineer in California is $145,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $170,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Compiler Software Engineer, and why are they important?

To thrive as a Compiler Software Engineer, you need a strong background in computer science, programming languages (such as C/C++), and compiler theory, usually supported by a relevant degree. Familiarity with tools like LLVM, GCC, and debuggers, as well as experience with code optimization and static analysis, is typically required. Strong problem-solving abilities, attention to detail, and effective communication set outstanding engineers apart. These skills ensure robust, efficient compiler development and seamless collaboration with development teams.

What are some common challenges faced by Compiler Software Engineers when optimizing code for different hardware architectures?

Compiler Software Engineers often encounter challenges when adapting and optimizing code for various hardware architectures, such as balancing performance improvements with maintaining code portability and correctness. Each architecture may have unique instruction sets, memory hierarchies, and parallelization capabilities, requiring careful tuning of compiler optimizations. Additionally, collaboration with hardware engineers and staying updated on evolving processor technologies are essential to ensure efficient code generation. This aspect of the role provides continuous learning opportunities and keeps the work both dynamic and technically rewarding.

What is a Compiler Software Engineer?

A Compiler Software Engineer is a specialized software developer who designs, implements, and maintains compilers. Compilers are programs that translate source code written in one programming language into another, typically from high-level languages like C++ or Python into machine code that a computer can execute. Compiler engineers work on optimizing code performance, ensuring correctness, and supporting new programming language features. They often have strong backgrounds in computer science, algorithms, and systems programming.

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

AspectCompiler Software EngineerSoftware Developer
Required CredentialsBachelor's or higher in Computer Science, specialized knowledge in compilersBachelor's or higher in Computer Science or related field
Work EnvironmentResearch labs, tech companies, compiler development teamsVaried environments including startups, corporations, freelance projects
Industry UsagePrimarily in compiler design, programming language development, systems softwareWeb, mobile, enterprise applications, software solutions

Compiler Software Engineers focus on designing and optimizing compilers and language tools, often working in specialized teams. Software Developers create a wide range of applications across industries. While both roles require programming skills, Compiler Software Engineers have a niche expertise in language translation and optimization, making their work 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 are popular job titles related to Compiler Software Engineer jobs in California? For Compiler Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Compiler Software Engineer jobs in California look for? The top searched job categories for Compiler Software Engineer jobs in California are:
Compiler Software Engineer jobs near you
Infographic showing various Compiler Software Engineer job openings in California as of May 2026, with employment types broken down into 1% Internship, 91% Full Time, and 8% Contract. Highlights an 27% Hybrid, and 73% Remote job distribution, with an average salary of $145,592 per year, or $70 per hour.
Senior Software Engineer - Deep Learning Compiler CI Infrastructure

Senior Software Engineer - Deep Learning Compiler CI Infrastructure

Nvidia

Santa Clara, CA • On-site

$143.90K - $189.70K/yr

Full-time

Posted yesterday

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".

In this role you will work closely with deep learning compiler engineers to own and evolve the CI/CD infrastructure that powers the development lifecycle of NVIDIA's deep learning compiler stacks. Responsibilities include designing and operating scalable CI systems that orchestrate ML workloads across diverse GPU and accelerator environments, deliver reliable correctness and performance signals, and serve as a primary technical point of contact for CI health, new project onboarding, and new architecture bring-up.

What you'll be doing:

  • Build, maintain, and improve CI infrastructure that supports development, verification, and release of NVIDIA's deep learning compiler stacks across GPU and accelerator environments

  • Improve CI reliability and signal quality by reducing flakes, improving reproducibility, strengthening diagnostics, and making correctness and performance failures easier to understand and act on

  • Apply automation, AI, and agent-based workflows to reduce manual CI operations, speed up failure triage, and improve developer efficiency

  • Build reusable and self-service CI platforms that support multiple products, projects, model suites, hardware targets, and software configurations while partnering closely with compiler, infrastructure, and release teams

What we need to see:

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

  • 5+ years of experience designing, scaling, and operating CI/CD, build/release, or developer infrastructure for complex software systems

  • Proven experience building CI platforms end-to-end using systems such as GitLab CI, GitHub Actions, Jenkins, or similar tools, including pipeline orchestration, compute/runner management, artifact and package systems, and observability, with strong emphasis on reliability, reproducibility, and debuggability

  • Strong software engineering skills (Python required), with the ability to design, implement, and debug distributed systems end-to-end

  • Proven track record of designing, building, and deploying AI/LLM-based systems in real engineering workflows, demonstrating skill in evaluating trade-offs, failure modes, maintainability, and measurable impact on developer productivity, signal quality, or operational efficiency

Ways to stand out from the crowd:

  • Experience crafting and shipping sophisticated AI/agent-based systems that improve continuous integration or developer efficiency. These systems include intelligent test selection, automated triage and routing, regression localization, autonomous remediation, and developer-assist workflows

  • Experience operating CI for DL/GPU software environments, including multi-GPU / multi-node workloads on Slurm, Kubernetes, or cloud platforms

  • Familiarity with compiler IRs and infrastructure such as LLVM/MLIR, XLA/HLO, Triton IR, cuTile, or TileIR, especially in the context of testing, debugging, and validating compiler-driven workloads

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 140,000 USD - 224,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 3, 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

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