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Part Time Gpu Engineer Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of applications and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Intel

AI Software Engineering Intern

Folsom, CA

This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and is interested in building strong foundations in AI software stacks, GPU programming, and performance ...

Intel

AI Software Engineering Intern

Hillsboro, OR

This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and is interested in building strong foundations in AI software stacks, GPU programming, and performance ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site

$99K - $225K/yr

Experience in GPU programming, including CUDA or RAPIDs * Experience with AWS and containerization ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

HPC Engineer, Mid

Beavercreek, OH · On-site

$61K - $141K/yr

Experience with GPU computing, including CUDA and ROCm, or GPU-accelerated workflows * Experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

HPC Engineer, Mid

Beavercreek, OH · On-site

$61K - $141K/yr

Experience with GPU computing, including CUDA and ROCm, or GPU-accelerated workflows * Experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Sciton

Computer Vision (Software) Engineer

Palo Alto, CA · On-site

$170K - $190K/yr

GPU/CUDA acceleration * FPGA, NPU, or hardware-accelerated vision pipelines * Memory-mapped I/O ... PART-TIME Full-Time POSITION Computer Vision (Software) Engineer LOCATION Palo Alto, HQ Pay Range ...

AST SpaceMobile

AI Lab Manager

Midland, TX · On-site

Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by ... You will hire, train, schedule, and supervise a part-time labeling workforce on AST's in-house ...

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Part Time Gpu Engineer information

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$39K

$101.8K

$137.5K

How much do part time gpu engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for part time gpu engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced GPU engineers working in leading technology companies or specialized roles in AI and graphics development can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such roles typically require advanced skills in hardware design, programming, and deep knowledge of GPU architectures, often combined with years of industry experience.

What engineers make 300,000 a year?

Senior GPU engineers, especially those with extensive experience, specialized skills in graphics processing, and knowledge of hardware architecture, can earn salaries of $300,000 or more annually. High compensation often includes bonuses, stock options, and benefits, particularly in leading technology companies or specialized industries like gaming, AI, and data centers.

Is it possible to work part-time as an engineer?

Part-time work is possible for GPU engineers and other engineering roles, often depending on the employer and project needs. Many companies offer flexible schedules or part-time positions, especially in consulting, research, or freelance work, but full-time roles are more common in the industry. Skills such as proficiency with GPU programming and relevant certifications can enhance opportunities for part-time employment.

How much do GPU engineers make?

GPU engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in graphics processing and hardware design can earn higher salaries, often exceeding $180,000.
More about Part Time Gpu Engineer jobs
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Part Time Gpu Engineer jobs near you
Computer Vision Software Engineer, Senior

Computer Vision Software Engineer, Senior

Booz Allen Hamilton, Inc.

Dayton, OH • On-site

$119K - $157K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 7 days ago

Key responsibilities

  • Develop and implement deep learning computer vision models focused on sensor fusion and target tracking.

  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python or C++.

  • Utilize GPU programming, including CUDA or RAPIDS, to optimize the performance of computer vision applications.

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 57 rated business consultants

Job description


Remote Work:
No
Job Number:
R0242681
Location:
Dayton,OH,US
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Computer Vision Software Engineer, Senior
The Opportunity:
As a Senior Computer Vision Engineer, you will design, develop, and optimize advanced computer vision and multi-sensor fusion algorithms supporting GEOINT-mission workflows. You will lead the development of deep learning models, real-time tracking systems, and GPU-accelerated pipelines deployed in operational environments. You will shape next-generation tools that integrate imaging physics, ML-based behavior inference, and multi-sensor fusion.
You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, user-centric tools that accelerate mission outcomes.
What You'll Work On:
  • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking
  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python or C++
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications
  • Contribute to the architecture and implementation of novel single and multi-sensor detection and tracking and fusion of targets

Join us. The world can't wait.
You Have:
  • 6+ years of experience developing computer vision algorithms for detection, tracking, or multi-sensor fusion in remote sensing or GEOINT-relevant environments
  • 2+ years of experience applying deep learning to computer vision problems using transformer-based or self-supervised architectures
  • Experience implementing model pipelines in Python or C++, including training, evaluation, and deployment workflows
  • Knowledge of GPU-accelerated development using CUDA, RAPIDS, or GPU programming frameworks
  • Experience with administration of continuous integration/continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with Agile methodology, extreme programming, software engineering, product management, and software products, and with acquiring client requirements and resolving workflow problems through automation optimization
  • Knowledge of classical tracking or estimation methods, such as Kalman or extended filters, to support real-time algorithm development
  • Ability to design, test, and optimize algorithms for operational performance in constrained computing environments such as multi-GPU servers or cloud
  • TS/SCI clearance
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with GPU-accelerated deep learning, including CUDA kernel development, TensorRT optimization, RAPIDS, or distributed multi-GPU training
  • Experience developing synthetic data, kinematic target models, or scenario simulation tools to support algorithm training or evaluation
  • Experience with advanced estimation, tracking, and fusion techniques such as joint multi-sensor registration, Bayesian fusion, particle filters, or deep multi-object tracking pipelines
  • Knowledge of geospatial data formats, sensor phenomenology, or remote-sensing exploitation workflows
  • Experience with MLOps or scalable deployment systems, including Docker, Kubernetes, ONNX Runtime, Triton Inference Server, or similar
  • Experience building or optimizing microservice architectures or distributed systems for real-time data processing
  • Experience integrating CV models into edge, embedded, or latency-constrained operational environments
  • Experience with transformer-based vision architectures beyond DINO/CLIP/SAM such as ViT variants or self-supervised multi-modal encoders
  • Experience with cloud ML platforms such as AWS GovCloud, Azure ML, or on-premesis GPU clusters
  • Master's degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics or other related field preferred; Doctorate degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics or other related field a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
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 $112,800.00 to $257,000.00 (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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