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Gpu Performance Engineer Jobs in Norfolk, VA (NOW HIRING)

AI/ML Engineer

Chesapeake, VA · Remote

$140K - $220K/yr

Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives ... Exposure to GPU-based or edge inference environments. * Bachelor's or Master's degree in Computer ...

AI/ML Engineer

Chesapeake, VA · On-site +1

$140K - $220K/yr

Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives ... Exposure to GPU-based or edge inference environments. * Bachelor's or Master's degree in Computer ...

AI/ML Engineer

Chesapeake, VA · Remote

$140K - $220K/yr

Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives ... Exposure to GPU-based or edge inference environments. * Bachelor's or Master's degree in Computer ...

AI/ML Engineer

Chesapeake, VA · Remote

$140K - $220K/yr

Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives ... Exposure to GPU-based or edge inference environments. * Bachelor's or Master's degree in Computer ...

AI/ML Engineer

Chesapeake, VA · Remote

$140K - $220K/yr

... performance objectives. * Build, train, and fine-tune models using frameworks such as PyTorch ... Exposure to GPU-based or edge inference environments. * Bachelor's or Master's degree in Computer ...

As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the ... GPU orchestration). * Implement LLMOps to monitor model performance, detect hallucination rates ...

Gpu Performance Engineer information

See Norfolk, VA salary details

$10

$58

$94

How much do gpu performance engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for gpu performance engineer in Norfolk, VA is $58.15, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.82 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a GPU Performance Engineer, and why are they important?

To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.

What are some common challenges faced by GPU Performance Engineers when optimizing graphics workloads?

GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.

What is a GPU Performance Engineer?

A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.

What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical engineering, VLSI design certifications

The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.

What are popular job titles related to Gpu Performance Engineer jobs in Norfolk, VA? For Gpu Performance Engineer jobs in Norfolk, VA, the most frequently searched job titles are:
What job categories do people searching Gpu Performance Engineer jobs in Norfolk, VA look for? The top searched job categories for Gpu Performance Engineer jobs in Norfolk, VA are:
What cities near Norfolk, VA are hiring for Gpu Performance Engineer jobs? Cities near Norfolk, VA with the most Gpu Performance Engineer job openings:
Infographic showing various Gpu Performance Engineer job openings in Norfolk, VA as of May 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 25% In-person, 25% Hybrid, and 50% Remote job distribution, with an average salary of $120,961 per year, or $58.2 per hour.
AI Developer (Agent-Based Systems) with Security Clearance

AI Developer (Agent-Based Systems) with Security Clearance

Versar Global Solutions

Newport News, VA

Other

Posted 22 days ago


Job description

WhoWe Are: Headquartered in Washington, DC, Versar Global Solutions provides full mission lifecycle solutions for challenges faced by our government and commercial Customers in the natural, built, and digital environments. With nearly 2,000 team members around the world, and a rich legacy spanning more than 70 years, Versar Global Solutions delivers a broad array of planning, analysis and risk management solutions, project and program management, operations and maintenance services, and information technology applications for environmental management and remediation projects, mission critical facilities and installations, and in support of readiness and contingency operations. WhoYou Are: Are you a talented and innovative artificial intelligence developer that wants to make a difference in the world? Join us as an AI Developer (Agent-Based Systems) and lead the charge in developing, implementing, and supporting cutting-edge geospatial technologies. In this pivotal role, you will collaborate with our dynamic Geospatial & Digital Solutions (GDS) Market Sector team to support diverse IR&D and customer-focused projects within a multi-disciplinary organization to achieve specific goals and objectives. The ideal candidate will focus on leveraging AI solutions and digital tools to improve efficiency, scalability, and the overall digital experience for both internal teams and external customers. Reporting directly to our Director of our Digital HUB Team, you will be specializing in building and deploying intelligent agent-based systems for customer-facing applications. The ideal candidate will design and implement multi-agent architecture, optimize model performance with GPU acceleration, and manage the infrastructure supporting AI services. What You’ll Do: * Design, develop, and deploy intelligent agents for data analysis and decision-making.
* Implement and manage multi-agent systems to solve complex problems.
* Optimize AI models for performance and scalability.
* Write clean, efficient, and well-documented code supporting the full AI development lifecycle, from data processing to deployment.
* Build production-ready ML systems that integrate LLMs into applications.
* Handle model deployment and scaling infrastructure.
* Create evaluation frameworks for model performance.
* Leverage GPU architecture expertise to optimize computational resource usage and enhance model performance.
* Configure, manage, and deploy local AI models while ensuring adherence to performance, compliance, and security standards.
* Collaborate with GIS teams to integrate AI solutions into geospatial workflows.
* Document system configurations, procedures, and support activities related to AI services.
What You’ll Bring: * Proven experience as an AI/ML Developer with a focus on intelligent agents and multi-agent system design.
* Strong proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
* Hands-on experience developing multi-agent systems (i.e., orchestration, fine tuning, microservices) for customer-facing products.
* In-depth knowledge of GPU architectures (e.g., CUDA) and practical performance optimization techniques.
* Experience supporting customer-facing products with focus on uptime, throughput, and low latency.
* Familiarity with geospatial data formats, tools, and solutions.
* Excellent problem-solving and analytical skills.
* Strong communication and interpersonal skills
* Must be proficient in English, both written and verbal, to ensure effective communication and collaboration.
* Successful results of preemployment screenings, including federal background check, MVR, and drug screen.
* Comply with company drug and alcohol policy.
*Must be able to obtain and maintain a DoD Secret Security Clearance. Preferred Skills & Certifications: * Strong Project Management Skills: Ability to plan, organize, and manage multiple projects simultaneously, ensuring they are completed on time and within budget.
* Digital and Technology Expertise: Understanding of various digital technologies, platforms, and tools relevant to the program's objectives.
* Communication and Interpersonal Skills:Ability to communicate effectively with diverse stakeholders, build relationships, and influence decision-making.
* Problem-Solving and Analytical Skills: Ability to identify and solve complex problems, analyze data, and make data-driven decisions.
* Leadership and Team Management Skills: Ability to lead and motivate teams, build consensus, and drive collaboration.
* Customer Knowledge: Familiarity with Federal Market and technical approaches related to next-generation cloud, network, and cybersecurity technologies.
Location Requirements The position will primarily work onsite at the Newport News, VA office location. EEO Commitment Versar Global Solutions is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Versar Global Solutions complies with applicable state and local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Versar Global Solutions expressly prohibits any form of unlawful employee harassment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, amnesty, or status as a covered veteran. Improper interference with the ability of Versar Global Solutions employees to perform their job duties is not tolerated. #LI-WJ1