NVIDIA Logo

NVIDIA

Senior Manager, Compute Compiler Engineering

Job Posted 16 Days Ago Reposted 16 Days Ago
Be an Early Applicant
In-Office
2 Locations
272K-472K
Senior level
In-Office
2 Locations
272K-472K
Senior level
Lead teams in developing CUDA C++ and OpenCL compilers, providing mentorship, ensuring software quality, and managing projects. Collaborate with cross-functional teams and clients to meet evolving needs.
The summary above was generated by AI

We are looking to hire an accomplished Engineering Leader for an exciting and fun role in our GPU Compiler Software organization. We deliver features and 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. Our compiler organization makes its mark on every GPU that NVIDIA produces. Would you like to be part of this world-class organization and lead the charge to even greater accomplishments?

We need you to lead the teams responsible for the CUDA C++ and OpenCL compilers which are core elements of our platform offering for accelerating general purpose computation on NVIDIA GPUs. These key programming languages define a unified programming model across a range of system configurations and hardware capabilities. The compilers are responsible for efficiently translating parallel programs written in a high-level programming language into microcode that is optimized for fast execution on NVIDIA's family of industry-leading GPU architectures. In this role you will be solving critical problems working alongside world-class engineering leaders with vision in GP-GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we want to hear from you!

What you will be doing:

  • Providing supervisory mentorship and technical direction to a geographically distributed team of compiler development engineers, including planning, scheduling and execution of projects and activities.

  • Guiding the design and implementation of the CUDA C++ compiler driver, front-end, dynamic compilation library and related binary tooling support (including a device linker and ELF binary dynamic loader), ensuring tight integration with industry-leading third-party compiler software.

  • Advising the design and implementation of the OpenCL ‘just-in-time’ compiler ensuring standards conformance and competitive performance for industry-standard benchmarks on Nvidia’s GPU architectures.

  • Offering end-to-end stewardship for both compiler product offerings, interacting with product managers, key customers and ISVs to ensure responsiveness to critical needs.

  • Nurturing the roadmap for the compiler product offerings, informed by customer needs and proactive innovation choices including evolutionary extensions to the CUDA C++ programming language specification.

  • Collaborating closely with multi-functional teams developing other related components to ensure language conformance, robustness, high-quality code generation and suitability for developing programs used in deep learning and safety-critical execution environments.

  • Establishing strong customer/partner relationships and trust through excellent execution and high quality software delivery.

What we need to see:

  • BS or MS degree in Computer Science, Computer Engineering, or related field or equivalent experience

  • 10+ overall years of production software development

  • 5+ years of technical lead/management experience

  • Experience in developing production compilers or related software and have collaborated on the development of large code bases.

  • Excellent verbal and written communications skills

  • A team player with proven leadership and mentorship skills

  • Demonstrated track record of success in achieving objectives under tight deadlines and have led projects with consequential priorities.

  • Strong hands-on C++ programming skills with experience using industry standard C++ compilers and development frameworks.

  • Familiar with parallel programming paradigms and hardware accelerators.

  • Track-record of success as a technical manager/ leader

Ways to stand out from the crowd:

  • CUDA C++ and/or OpenCL application development experience

  • Experience with compiler development for parallel programming languages targeting hardware accelerators.

  • Familiarity with deep learning frameworks and NVIDIA GPUs.

  • Up-to-date with current ISO C++ programming language standards with engagement with the language standard committees being a plus.

  • Customer support for production compiler software.

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.

The base salary range is 272,000 USD - 471,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

C++
Cuda C++
Opencl
HQ

NVIDIA Seattle, Washington, USA Office

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

Similar Jobs

11 Hours Ago
Hybrid
3 Locations
200K-200K
Senior level
200K-200K
Senior level
eCommerce • Legal Tech • Professional Services • Software • Data Privacy
Lead and mentor engineering teams for software development, focusing on culture, technical feasibility, and strategic product execution.
Top Skills: AgileAWSRuby
11 Hours Ago
Remote or Hybrid
Spokane, WA, USA
100K-100K Annually
Mid level
100K-100K Annually
Mid level
eCommerce • Legal Tech • Professional Services • Software • Data Privacy
As a Linux Systems Engineer, you'll design and deploy infrastructure solutions, ensuring optimal performance and service standards while collaborating with a technical team.
Top Skills: AnsibleAWSCephChefDockerEcsEximGoIamJavaLinuxMySQLNginxOpen VswitchPHPPostfixPuppetPythonRdsRubyTcp/Ip
11 Hours Ago
Remote or Hybrid
Spokane, WA, USA
150K-150K Annually
Senior level
150K-150K Annually
Senior level
eCommerce • Legal Tech • Professional Services • Software • Data Privacy
The Senior Linux Systems Engineer will design and deliver technical solutions, manage infrastructure services, and ensure optimal customer experience in a dynamic team.
Top Skills: AnsibleAsteriskAWSChefCloudwatchDockerEcsEximGoIamJavaKvmLinuxLxcMySQLNginxPHPPostfixPuppetPythonRdsRubyTcp/Ip

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
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account