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Part Time Nvidia Engineering Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Autonomy SME, Lead

Washington, DC · On-site

$116K - $152K/yr

As an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Master's degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New York University

RESEARCH SCHOLAR

New York, NY · On-site

$27/hr

Description Part-Time Research Scholar Biomedical Engineering New York University Biomechatronics ... Nvidia Isaac Gym, Simulator, as exemplified by a strong publication record. Expected start date and ...

BOOZ, ALLEN & HAMILTON, INC.

$225K/yr

You Have: * 3+ years of experience in software engineering, including AI/ML systems * Experience ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

All JobsPart Time Nvidia Engineering Jobs

Part Time Nvidia Engineering information

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$12

$31

$57

How much do part time nvidia engineering jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for part time nvidia engineering in the United States is $31.55, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $37.98 per hour, depending on experience, location, and employer.

Can you work from home at NVIDIA?

Part-time engineering roles at NVIDIA may offer remote work options depending on the specific position and team requirements. Many engineering jobs at NVIDIA can be performed remotely, especially if they involve software development or design work, but some roles may require on-site presence for hardware testing or collaboration. Candidates should review the job listing for remote work policies and expectations.

How difficult is it to get hired at NVIDIA?

Getting hired for a part-time engineering role at NVIDIA can be competitive, often requiring a strong technical background, relevant skills in areas like GPU architecture or software development, and a solid academic record. The application process typically involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit.

What is the difference between Part Time Nvidia Engineering vs Part Time Nvidia Data Scientist?

AspectPart Time Nvidia EngineeringPart Time Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with hardware/software developmentBachelor's or Master's in Data Science, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentHardware labs, software development teams, collaborative projectsData analysis teams, research environments, cross-functional collaboration
Employer & Industry UsageTech companies, hardware/software development, AI/ML projectsResearch institutions, tech companies, AI/ML applications

Part Time Nvidia Engineering focuses on hardware and software development, requiring engineering credentials and hands-on technical work. In contrast, Part Time Nvidia Data Scientist emphasizes data analysis and machine learning, requiring expertise in data science. Both roles are common in tech and AI industries but differ in their core skills and work environments.

Can engineering be a part-time job?

Yes, engineering roles, including those in hardware and software fields like Nvidia engineering, can be available as part-time positions. These roles often require specialized skills and may involve flexible schedules, but availability depends on the employer and project needs.
More about Part Time Nvidia Engineering jobs
What cities are hiring for Part Time Nvidia Engineering jobs? Cities with the most Part Time Nvidia Engineering job openings:
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What job categories do people searching Part Time Nvidia Engineering jobs look for? The top searched job categories for Part Time Nvidia Engineering jobs are:
Part Time Nvidia Engineering jobs near you
Infographic showing various Part Time Nvidia Engineering job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $65,624 per year, or $31.6 per hour.
Simulation Engineer, Lead

Simulation Engineer, Lead

Booz Allen Hamilton, Inc.

Honolulu, HI • On-site

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 2 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants

Job description


Remote Work:
No
Job Number:
R0241636
Location:
Honolulu,HI,US
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Simulation Engineer, Lead
The Opportunity:
You build the synthetic worlds that help warfighters decide faster. As a Lead Simulation Engineer, you'll fuse Program of Record (PoR) sims, including NGST, AFSIM, AFMSTT, and SAFESIM, with real-time engines such as Unity and Unreal Engine as well as NVIDIA Omniverse to deliver credible, interoperable LVC environments for Indo-Pacific missions. You'll set technical direction, mentor engineers, and partner with operators to turn mission questions into data-driven outcomes.
What You'll Work On:
  • Lead architecture and technical delivery of mission-grade simulation solutions spanning AFSIM, AFMSTT, SAFESIM, and NGST and real-time engines such as Unity, Unreal, and Omniverse, ensuring scale, fidelity, and interoperability.
  • Integrate DIS, HLA, TENA, USD, and Omniverse pipelines for multi-domain LVC exercises, wargames, and operational analysis.
  • Translate operational concepts, including CONOPS, TTPs, MOP, and MOE into scenarios, models, and data flows aligned to Indo-Pacific mission threads.
  • Own software quality and implement DevSecOps, CI/CD, automated testing, code reviews, and model validation against ground truth.
  • Mentor and grow a high-performing team to drive backlog, estimation, and delivery against mission milestones.
  • Engage with stakeholders across Service components such as air, maritime, cyber, and space to capture needs and demonstrate outcomes.
  • Advance performance and realism via GPU acceleration, multi-node orchestration, and sensor or weapon modeling.
  • Support capture and proposals with credible technical volumes, BOEs, and demos that reflect Indo-Pacific realities.

Join us. The world can't wait.
You Have:
  • Experience with PoR sims such as NGST, AFSIM, AFMSTT, and SAFESIM, including integrating models, scenarios, and data sources
  • Experience with Unity and Unreal Engine with C# or C++
  • Experience with real-time or near-real-time simulations
  • Experience with Git, including GitHub, GitLab, or Azure DevOps, CI/CD, test automation, and containerization such as Docker or Kubernetes
  • Experience with modeling and analysis translating operational needs into measurable outcomes such as MOP and MOE, scenario design, and validation
  • Knowledge of HLA, DIS, and TENA LVC architectures and gateway translation
  • Ability to obtain a TS/SCI clearance
  • Bachelor's degree in Computer Science, Engineering, or Applied Mathematics and 2+ years of experience in data engineering, or 5+ years of experience in data engineering in lieu of a degree

Nice If You Have:
  • Experience bridging AFSIM with Unity, Unreal, or Omniverse and composing multi-engine pipelines
  • Experience with NVIDIA Omniverse, including USD pipelines, Render and Kit, and SimReady assets for collaborative simulation workflows
  • Experience with GPU and HPC optimization such as CUDA and multi-GPU orchestration, physics-based modeling, or synthetic sensor simulation
  • Experience with Agile leadership, including Scrum and Kanban, backlog management, and mentorship of mid-level engineers
  • Experience with Cloud and edge deployment such as AWS, Azure, and GovCloud/IL environments, IaC, including Terraform, and secure networking
  • Knowledge of RMF or STIG and secure software practices for classified environments
  • Knowledge of JADC2, Indo-Pacific operational context, and mission thread decomposition
  • TS/SCI clearance
  • Master's degree preferred; Doctorate degree in Engineering or Computer Science a plus
  • DoD 8570 Baseline, NVIDIA Omniverse, Unity, or Unreal Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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