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Assistant Compiler Software Engineer Jobs in Texas

Senior LLVM Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... and software requirements into upstream‑viable compiler solutions • Help shape NVIDIA ... D. in Computer Science, Computer Engineering, or related field (or equivalent experience) • 6+ ...

Senior AI Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

What we need to see: * 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 ...

Senior LLVM Compiler Engineer

Austin, TX

$103K - $142K/yr

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a ... Partner with architecture, performance, and product teams to translate NVIDIA hardware and software ...

The tech stack includes a core compiler-like engine, a heavily asynchronous/distributed backend ... Software Engineer - Backend Location : Remote or Austin, TX About the Role Our core innovation, the ...

Senior AI Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

What we need to see: * 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 ...

Software Engineer - Backend

Austin, TX · On-site +1

$175K - $275K/yr

The tech stack includes a core compiler-like engine, a heavily asynchronous/distributed backend ... Software Engineer - Backend Location : Remote or Austin, TX About the Role Our core innovation, the ...

Senior ML Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

Expertisein the software development life-cycle - coding, debugging, optimization, testing ... If you need a reasonable accommodation to assist with your job search or application for employment ...

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Assistant Compiler Software Engineer information

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.

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Senior LLVM Compiler Engineer

Senior LLVM Compiler Engineer

NVIDIA

Austin, TX • On-site

$103K - $142K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
NVIDIA is a leading technology company seeking an expert Senior Compiler Engineer to join their Compute Compiler Team. The role focuses on upstream engagement with the LLVM ecosystem and advancing NVIDIA’s compiler technology through collaboration with open-source communities.
Responsibilities:
• Work closely with LLVM, Clang, MLIR, and related open‑source communities to upstream compiler features, refactors, and infrastructure originating from NVIDIA’s downstream codebases
• Lead and contribute to design discussions, RFCs, and code reviews in upstream communities with an emphasis on long‑term maintainability and broad usefulness
• Refactor, adapt, and decompose downstream NVIDIA compiler code to meet upstream quality, abstraction, and API expectations
• Advocate for NVIDIA’s technical needs through credible engineering arguments, prototypes, and sustained community engagement
• Collaborate with internal compiler teams to identify which downstream capabilities are best suited for upstreaming and how to stage that work effectively
• Partner with architecture, performance, and product teams to translate NVIDIA hardware and software requirements into upstream‑viable compiler solutions
• Help shape NVIDIA’s long‑term open‑source LLVM strategy, balancing ecosystem health with NVIDIA’s platform goals
• Act as a technical ambassador for NVIDIA within the compiler open‑source community, strengthening trust and collaboration over time
Qualifications:
Required:
• B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or related field (or equivalent experience)
• 6+ years experience with LLVM, Clang, MLIR, or similar compiler infrastructures
• Excellent hands‑on C++ programming skills
• Solid understanding of compiler internals, including IR design, transformations, analyses, and code generation pipelines
• Experience engaging with open‑source development workflows, including design discussions, code reviews, and upstream contribution processes
• Ability to navigate complex technical trade‑offs while balancing upstream community expectations with internal product needs
• Strong communication skills, including technical writing, design articulation, and cross‑organizational collaboration
Preferred:
• Proven track record of upstream contributions to LLVM or related open‑source compiler projects
• Experience in successfully upstreaming non‑trivial production code from a downstream or proprietary environment
• Recognition within open‑source communities as a trusted contributor or reviewer
• Background in GPU architectures, CUDA, or parallel programming models
• Familiarity with deep learning frameworks and performance‑critical workloads on NVIDIA GPUs
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