ZipRecruiter

Log In

1

Senior Crowd Compute Jobs (NOW HIRING)

Nvidia

We are seeking a motivated Senior HPC Support Engineer - Compute/GPU (DGX Platform) passionate ... Ways to stand out from the crowd: * Knowledge and working experience with InfiniBand, RDMA/RoCEv2 ...

Nvidia

OR

You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring ... Ways to stand out from the crowd: * Deep Learning framework skills. * Exposure to using and ...

Nvidia

You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring ... Ways to stand out from the crowd: * Deep Learning framework skills. * Exposure to using and ...

Nvidia

Senior Software Engineer, Agentic AI

Santa Clara, CA · On-site

$143K - $189K/yr

Build and maintain high-performance, large-scale production systems that handle the compute ... Ways to stand out from the crowd: * Low-Level Mastery: Experience writing CUDA kernels and deep ...

Nvidia

Senior Software Engineer, Agentic AI

Redmond, WA · On-site

$137K - $180K/yr

Build and maintain high-performance, large-scale production systems that handle the compute ... Ways to stand out from the crowd: * Low-Level Mastery: Experience writing CUDA kernels and deep ...

previous pagenext page

Showing results 21-40

All JobsCrowd Compute JobsSenior Crowd Compute Jobs

Senior Crowd Compute information

See salary details

$25K

$80.3K

$163.5K

How much do senior crowd compute jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior crowd compute in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Crowd Compute vs Data Labeler?

AspectSenior Crowd ComputeData Labeler
Required CredentialsExperience in crowdsourcing platforms, basic technical skillsBasic computer skills, attention to detail
Work EnvironmentRemote, collaborative, project-basedRemote or on-site, task-specific
Employer & Industry UsageTech companies, AI/ML projectsAI/ML, data annotation firms
Common Search & ComparisonOften compared for roles in crowdsourcing and data annotationEntry-level data annotation roles

Senior Crowd Compute professionals oversee large-scale data collection and manage crowdsourcing projects, requiring experience with platforms and technical skills. Data Labelers perform specific annotation tasks, focusing on accuracy and attention to detail. While both roles are integral to AI/ML data pipelines, Senior Crowd Compute roles involve higher-level project management and strategic oversight, whereas Data Labelers focus on task execution.

More about Senior Crowd Compute jobs
What cities are hiring for Senior Crowd Compute jobs? Cities with the most Senior Crowd Compute job openings:
What are the most commonly searched types of Crowd Compute jobs? The most popular types of Crowd Compute jobs are:
What states have the most Senior Crowd Compute jobs? States with the most job openings for Senior Crowd Compute jobs include:
What job categories do people searching Senior Crowd Compute jobs look for? The top searched job categories for Senior Crowd Compute jobs are:
Senior Crowd Compute jobs near you
Infographic showing various Senior Crowd Compute job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 87% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Systems Software Engineer, Compute Stack Acceleration

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 19 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA is growing a senior engineering team focused on making our compute software stack first-class on NVIDIA CPU platforms. The team turns modern toolchains, build and code-health practices, performance-analysis workflows, and optimization techniques into repeatable improvements across real software components.
We are looking for an experienced systems software engineer who can lead cross-stack engineering efforts from an ambiguous adoption problem to a measurable outcome. You will work closely with compiler, platform, performance, library, and application teams to validate new capabilities, resolve integration blockers, produce credible before-and-after evidence, and turn successful approaches into reusable engineering practices. Depending on your background and project needs, your initial work may emphasize toolchain, build, and code-health adoption or profiling, optimization, and evidence-routing workflows. The role is intentionally broad enough to evolve as the team identifies the highest-leverage opportunities across the stack.
What You'll Be Doing:
  • Lead toolchain, build, code-health, and performance-workflow adoption projects across large software components.
  • Evaluate and deploy supported GCC and LLVM/Clang toolchains, compiler options, linkers, sysroots, and cross-compilation configurations.
  • Integrate modern toolchains and workflows into complex build systems and continuous-integration environments.
  • Establish useful Clang diagnostic builds and targeted sanitizer coverage in partnership with component owners. Evaluate techniques such as link-time optimization, profile-guided optimization, AutoFDO, and BOLT on representative software.
  • Use profiling, PMU data, flamegraphs, and binary/source analysis to identify actionable performance and code-quality findings.
  • Build automation, wrappers, validation scripts, dashboards, and migration helpers where they improve adoption and repeatability. Measure changes in runtime, code size, build time, launch latency, throughput, quality, or engineering velocity.
  • Drive complex blockers to the appropriate compiler, runtime, library, infrastructure, or component owner.
  • Document validated approaches as reusable playbooks for other engineering teams. Communicate technical results and tradeoffs clearly to engineers and leadership.

What We Need to See:
  • BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience. 8+ years of relevant systems software engineering experience.
  • Strong C and C++ development, debugging, and code-review skills.
  • Strong Linux systems knowledge and hands-on experience with complex native software stacks.
  • Practical experience with GCC or LLVM/Clang, linkers, compiler options, and build systems.
  • Experience working in large, multi-component codebases and CI environments.
  • Experience with performance profiling, root-cause analysis, and before-and-after validation.
  • Ability to lead projects with substantial technical and organizational ambiguity.
  • Excellent written and verbal communication and a record of effective cross-team collaboration.

Ways to Stand Out From the Crowd:
  • Experience with Arm64 systems, CPU architecture, vectorization, or SVE. Experience with LTO, PGO, AutoFDO, BOLT, binary optimization, or code-layout analysis.
  • Hands-on experience with Clang diagnostics, AddressSanitizer, or other code-health workflows.
  • Familiarity with PMU analysis, perf, flamegraphs, BRBE, SPE, ETM, or similar profiling technologies.
  • Experience with cross-compilation, sysroots, large monorepositories, Perforce-scale development, or distributed build systems.
  • Experience turning a successful migration or optimization into a maintained workflow used by multiple teams. Python or other scripting experience for engineering automation and data analysis.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking exceptional individuals like you to help us drive the next wave of artificial intelligence.
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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 6, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

View All Nvidia Jobs

Apply