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Virtual Upstream Scientist Jobs (NOW HIRING)

Senior LLVM Compiler Engineer

Santa Clara, CA

$122.70K - $168.50K/yr

Work closely with LLVM, Clang, MLIR, and related opensource communities to upstream compiler ... D. in Computer Science, Computer Engineering, or related field (or equivalent experience) * 6+ ...

OR

$104.40K - $143.40K/yr

Work closely with LLVM, Clang, MLIR, and related opensource communities to upstream compiler ... D. in Computer Science, Computer Engineering, or related field (or equivalent experience) * 6+ ...

Senior LLVM Compiler Engineer

Austin, TX

$103.60K - $142.20K/yr

Work closely with LLVM, Clang, MLIR, and related opensource communities to upstream compiler ... D. in Computer Science, Computer Engineering, or related field (or equivalent experience) * 6+ ...

Senior LLVM Compiler Engineer

Redmond, WA ยท On-site

$117K - $160.70K/yr

Work closely with LLVM, Clang, MLIR, and related opensource communities to upstream compiler ... D. in Computer Science, Computer Engineering, or related field (or equivalent experience) * 6+ ...

Virtual machine performance optimization, live migration, and resource scheduling * Virtualized ... MBA or advanced degree in computer science or engineering preferred. * 10+ years of experience in ...

Virtual machine performance optimization, live migration, and resource scheduling * Virtualized ... MBA or advanced degree in computer science or engineering preferred. * 10+ years of experience in ...

Virtual machine performance optimization, live migration, and resource scheduling * Virtualized ... MBA or advanced degree in computer science or engineering preferred. * 10+ years of experience in ...

Virtual machine performance optimization, live migration, and resource scheduling * Virtualized ... MBA or advanced degree in computer science or engineering preferred. * 10+ years of experience in ...

Virtual machine performance optimization, live migration, and resource scheduling * Virtualized ... MBA or advanced degree in computer science or engineering preferred. * 10+ years of experience in ...

Virtual machine performance optimization, live migration, and resource scheduling * Virtualized ... MBA or advanced degree in computer science or engineering preferred. * 10+ years of experience in ...

Virtual machine performance optimization, live migration, and resource scheduling * Virtualized ... MBA or advanced degree in computer science or engineering preferred. * 10+ years of experience in ...

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Showing results 1-20

Virtual Upstream Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do virtual upstream scientist jobs pay per year?

As of May 31, 2026, the average yearly pay for virtual upstream scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Virtual Upstream Scientist vs Geoscientist?

AspectVirtual Upstream ScientistGeoscientist
Required CredentialsTypically requires a master's or Ph.D. in geology, geophysics, or related fieldsUsually requires a bachelor's or higher degree in geology, geophysics, or earth sciences
Work EnvironmentRemote or virtual settings, often collaborating with on-site teamsPrimarily on-site or field-based, with some remote work possible
Industry UsageCommonly used in oil and gas exploration companies, especially in remote rolesWidely used across energy, environmental consulting, and research sectors

The Virtual Upstream Scientist and Geoscientist roles share similar educational backgrounds and industry applications. However, Virtual Upstream Scientists often work remotely and focus on data analysis and modeling, while Geoscientists may work more on-site conducting fieldwork. Both roles are essential in the exploration and production of natural resources, but their work environments and daily tasks differ.

More about Virtual Upstream Scientist jobs
What cities are hiring for Virtual Upstream Scientist jobs? Cities with the most Virtual Upstream Scientist job openings:
What are the most commonly searched types of Upstream Scientist jobs? The most popular types of Upstream Scientist jobs are:
What states have the most Virtual Upstream Scientist jobs? States with the most job openings for Virtual Upstream Scientist jobs include:
What job categories do people searching Virtual Upstream Scientist jobs look for? The top searched job categories for Virtual Upstream Scientist jobs are:
Infographic showing various Virtual Upstream Scientist job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 66% Full Time, 4% Part Time, and 29% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior LLVM Compiler Engineer

Senior LLVM Compiler Engineer

Nvidia Corporation

Santa Clara, CA โ€ข On-site

$122.70K - $168.50K/yr

Full-time

Posted 24 days ago


Job description

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a focus on upstream engagement with the LLVM ecosystem and advancing NVIDIA's compiler technology through trusted, sustained participation in open-source communities. In this role, you will work directly with LLVM, Clang, MLIR, and related open-source projects to upstream compiler functionality that currently lives in NVIDIA's downstream repositories. Your collaboration with the broader LLVM community to shape designs, influence technical direction, and ensure NVIDIA's needs are met by supplying high-quality, maintainable solutions that benefit the ecosystem as a whole.
We are seeking an experience engineer who proficient in combining deep compiler expertise with a strong appreciation for open-source norms, collaboration, and long-term stewardship. Your influence will come not from authority, but from technical credibility, respect for community processes, and sustained contribution to the health and evolution of the LLVM project. If you are passionate about open-source compiler development, upstreaming real-world production code, and representing NVIDIA as a trusted partner in the LLVM community, we would love to hear from you.
What you will be doing:
  • 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

What we need to see:
  • 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

Ways to stand out from the crowd:
  • 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

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 11, 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