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Volunteer Nvidia Research Jobs (NOW HIRING)

Software Engineer 2 (Hybrid)

Laurel, MD · On-site

$64.04 - $120.27/hr

You will work individually or as part of a small research/SDK team 25% Telework ***This position is ... Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT ...

You will work individually or as part of a small research/SDK team 25% Telework This position is ... Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT ...

Software Engineer 2 (Hybrid)

Laurel, MD · On-site +1

$64.04 - $120.27/hr

You will work individually or as part of a small research/SDK team 25% Telework ***This position is ... Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT ...

... NVIDIA, Whirlpool, Sony, and Trek - supporting 1.2M users and generating $200M+ in annual revenue ... Research and navigate accounts, identify key players & technology, cold call and develop accounts ...

Senior Software Engineer, Storage

Sunnyvale, CA · On-site

$143K - $189K/yr

Research publications or open-source contributions to storage-related projects. Benefits ... Volunteer time off Compensation: Compensation will be paid in the range of $166,000 - $201,000 ...

Senior Software Engineer, Storage

San Francisco, CA · On-site

$144K - $190K/yr

Research publications or open-source contributions to storage-related projects. Benefits ... Volunteer time off Compensation: Compensation will be paid in the range of $166,000 - $201,000 ...

Senior Software Engineer, Storage

San Francisco, CA · On-site

$144K - $190K/yr

Research publications or open-source contributions to storage-related projects. Benefits ... Volunteer time off Compensation: Compensation will be paid in the range of $166,000 - $201,000 ...

Showing results 21-28

Volunteer Nvidia Research information

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How much do volunteer nvidia research jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for volunteer nvidia research in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

What is the difference between Volunteer Nvidia Research vs Nvidia Research Intern?

AspectVolunteer Nvidia ResearchNvidia Research Intern
Required CredentialsTypically no formal credentials, open to enthusiasts and studentsUsually pursuing or holding a degree in computer science, engineering, or related fields
Work EnvironmentRemote or on-site, flexible hours, volunteer basisOn-site or remote, structured internship program, paid or unpaid
Employer & Industry UsageNon-profit, open-source projects, community-drivenCorporate research division of Nvidia, industry-focused
Search & Comparison IntentUnderstanding volunteer opportunities in Nvidia researchSeeking internship experience at Nvidia research

Volunteer Nvidia Research involves contributing without formal compensation, often focusing on open-source or community projects. Nvidia Research Internships are structured programs for students or recent graduates seeking industry experience. While both roles involve Nvidia's research environment, internships typically require relevant credentials and offer more formal training, whereas volunteer roles are more flexible and accessible to a broader audience.

More about Volunteer Nvidia Research jobs

What cities are hiring for Volunteer Nvidia Research jobs?

Cities with the most Volunteer Nvidia Research job openings:

What are the most commonly searched types of Nvidia Research jobs?

The most popular types of Nvidia Research jobs are:

What states have the most Volunteer Nvidia Research jobs?

States with the most job openings for Volunteer Nvidia Research jobs include:

Infographic showing various Volunteer Nvidia Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

Software Engineer 2 (Hybrid)

Wyetech

Laurel, MD • On-site

$64.04 - $120.27/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
ML Deployment Engineer moves video,image,speech,and text analytics (VISTA)models from research prototype to production inference services that downstream engineering teams can run in Kubernetes or similar environments. You will work individually or as part of a small research/SDK team
25% Telework
***This position is eligible for a $5k bonus! (Includes 20% SEP IRA contribution)***
Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).
Capabilities
  • Collaborate cross-functionally working directly with end users to understand requirements and with researchers to align development with real-world neds.
  • Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT execution providers and Business Logic Scripting (BLS) in-service pipelines.
  • Tune pipelines for throughput, and support them through customer transition.
  • Review and test software components against design requirements.
  • Create comprehensive user documentation and establish deployment best practices.
  • Resolve system problem reports and contributes to system design, including hardware/software trade-offs, software reuse, infrastructure-as-code, and requirements analysis from the system level down to individual components.

Required Qualifications
  • TS/SCI with agency appropriate poly
  • Bachelor's Degree in Computer Science or a related discipline.
  • 14+ years of software engineering experience.
  • Four (4) years of additional software development experience on comparable projects may be substituted for a bachelor's degree.

Required Technical Skills
  • Strong Python experience
  • Solid understanding of DevOps practices and CI/CD pipelines
  • Intermediate/Advanced experience with containerization (Docker) container creation and performance optimization
  • Beginner/Intermediate experience with orchestration tools such as Kubernetes
  • Experience taking projects from prototype to production
  • Strong communication skills for technical and non-technical audiences
  • Self-motivated with ability to work independently and collaboratively

Desired Technical Skills
  • Software Development experience: C++, Java, GoLang, CUDA
  • Experience supporting production ML systems
  • Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing
  • Knowledge of model formats and optimization (ONNX, TensorRT)

The Benefits Package
  • Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.

Additional benefits include:
  • Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.

Full-time employees have the option to participate in a variety of voluntary benefit plans including:
  • A Choice of Medical Plan Options, some with Health Savings Account (HSA)
  • Vision and Dental
  • Life and AD&D Benefits
  • Short and Long-Term Disability
  • Hospital Indemnity, Accident, and Critical Illness Insurances
  • Optional Identity Theft and Legal Protection Services

Company Environment & Perks
  • Employee Referral Bonus Eligibility up to $10,000
  • Mobility Among Wyetech-supported Contracts
  • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
  • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.
  • Employees receive two complementary branded clothing orders annually.

$64.04 - $120.27 an hour
Pay Range: $64.04 - $120.27per hour*
Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.
Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Affirmative Action Statement:
Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.
Accommodations:
Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or [email protected]. We are happy to provide reasonable accommodations to ensure equal access to all candidates.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.