NVIDIA Logo

NVIDIA

Senior Compiler Engineer - Backend GPU

Posted 2 Months Ago
Be an Early Applicant
In-Office or Remote
4 Locations
152K-242K Annually
Senior level
In-Office or Remote
4 Locations
152K-242K Annually
Senior level
Design and implement an LLVM-based backend JIT compiler for NVIDIA GPUs. Develop compiler passes and optimizations, focusing on high performance and low compile time. Collaborate with hardware, compiler, and application teams to resolve issues and influence future GPU architectures.
The summary above was generated by AI

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 searching for a Senior Backend Compiler Engineer with experience in LLVM code generation for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.

What you will be doing:

  • Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs

  • Design and develop new compiler passes and optimizations required to meet the high performance and low compilation time requirements of the compiler

  • Work with global compiler, hardware and application teams to oversee improvements and problem resolutions

  • Apply and adapt the latest compiler technologies to produce premier, robust, supportable compiler and tools

  • Get a chance to influence and work on new GPU architectures

What we need to see:

  • B.S. or higher degree in Computer Science/Engineering or equivalent experience

  • 4+ years of compiler development experience including 3+ years of experience in LLVM with a focus in code generation

  • Expertise in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR)

  • Proficient in compiler design and in performance analysis tools

  • Excellent hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks

  • Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems

  • Good communication and documentation skills and self-motivated

Ways to stand out from the crowd:

  • Masters or PhD preferred, with 5+ years of relevant experience

  • Experience developing compiler optimizations and code generation for GPUs

  • Experience in developing CUDA, DirectX, OpenGL/Vulkan applications

  • You should have strong interpersonal skills and be capable of leading and influencing others in the department

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 August 17, 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.

HQ

NVIDIA Seattle, Washington, USA Office

4545 Roosevelt Way NE 6th Floor, Seattle, Washington, United States, 98105

NVIDIA Bellevue, Washington, USA Office

Bellevue, United States

NVIDIA Redmond, Washington, USA Office

Redmond, United States

Similar Jobs

27 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
86K-146K Annually
Entry level
86K-146K Annually
Entry level
Cloud • Security • Software • Cybersecurity • Automation
Supports GitLab’s partner ecosystem operations from account setup and deal registration through quoting, ordering, and post-sales support. The role manages Salesforce and partner-system data, processes partner transactions, monitors workflows, builds dashboards, resolves standard issues, supports compliance and month-end controls, and improves processes through documentation, automation, and self-service. It also provides operational guidance, training, and communications to partners, sellers, and cross-functional teams.
Top Skills: Business Intelligence ToolsConfigure Price Quote (Cpq) ToolsGenerative AiImpartnerPartner-Management SystemsSalesforceSnowflakeSQLTableau
27 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
115K-162K Annually
Mid level
115K-162K Annually
Mid level
Cloud • Security • Software • Cybersecurity • Automation
Build and operate GitLab’s Rust-based Knowledge Graph backend supporting SDLC and code indexing, graph queries, MCP endpoints, AI agents, and analytics. Integrate with Rails, ClickHouse, NATS JetStream, and Data Insights systems. Improve reliability, observability, scalability, and operational readiness through testing, metrics, runbooks, alerts, and on-call participation. Collaborate asynchronously across product, data, infrastructure, security, and AI teams while contributing to system design and occasional Ruby or frontend work.
Top Skills: Change Data Capture (Cdc)ClickhouseGitlab Duo Agent PlatformGitlab RailsGoKafkaMcpNats JetstreamOlapProperty GraphsRubyRustTypescriptVue
35 Minutes Ago
Remote or Hybrid
USA
89K-179K Annually
Senior level
89K-179K Annually
Senior level
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.
Top Skills: ExcelLookerPowerPointSQLTableau

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account