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Cuda Engineer Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA * Experience with infrastructure as code frameworks and services, including Terraform or ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA * Experience with infrastructure as code frameworks and services, including Terraform or ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA * Experience with infrastructure as code frameworks and services, including Terraform or ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA * Experience with infrastructure as code frameworks and services, including Terraform or ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Arlington, VA

$141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA * Experience with infrastructure as code frameworks and services, including Terraform or ...

Leidos

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

  • Retirement

  • PTO

Hand crafting bespoke CUDA kernels for high performance * Designing and implementing multi-threaded ... Bachelor's Degree in Computer Engineering, Electrical Engineering, or Computer Science * 8+ years ...

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Cuda Engineer information

See Virginia salary details

$36.2K

$106.4K

$136.3K

How much do cuda engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for cuda engineer in Virginia is $106,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a CUDA engineer?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

How much do Cuda engineers make?

Cuda engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and parallel computing tend to have higher salaries. Certifications and a strong understanding of CUDA tools can also influence compensation.

What are some common challenges faced by CUDA engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What are the key skills and qualifications needed to thrive as a CUDA engineer?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

Are CUDA engineers in demand?

CUDA engineers are in high demand due to the increasing use of GPU computing in fields like artificial intelligence, machine learning, and high-performance computing. Skills in CUDA programming, parallel processing, and related tools are highly valued by employers across technology, research, and industry sectors.

What are popular job titles related to Cuda Engineer jobs in Virginia?

For Cuda Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Cuda Engineer jobs in Virginia look for?

The top searched job categories for Cuda Engineer jobs in Virginia are:

What cities in Virginia are hiring for Cuda Engineer jobs?

Cities in Virginia with the most Cuda Engineer job openings:

Cuda Engineer jobs near you
Infographic showing various Cuda Engineer job openings in Virginia as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $106,361 per year, or $51.1 per hour.

Staff Data Engineer (TS/SCI with Full Scope Polygraph) {S}

The Stratagem Group

Herndon, VA • On-site, Remote

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

ARKA Group L.P. ("ARKA") is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.
Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!
Position Overview:
We are looking for a Staff Data Engineer/Scientist looking for new challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from large language models, natural language processing, and time-series predictive analytics. Additionally, we have a team of excellent researchers and software developers who are eager to mentor and teach their craft. We have multiple positions available and welcome all experience levels!
We offer generous relocation benefits for eligible candidates.
In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that's of interest to you.
Responsibilities:
Lead and mentor an interdisciplinary team consisting of both developers and researchers. The team's core focus is the implementation of ETL pipelines to support a variety of AI/ML and LLM solutions, which in turn address a broad range of customer challenges.
  • Assembles large, complex sets of data to support AI/ML algorithm implementation
  • Builds required infrastructure for optimal extraction, transformation and loading of data from various data sources
  • Curate and maintain data that is stored in support of metrics and evaluation
  • Implement Artificial Intelligence/Machine Learning algorithms
  • Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Using Agile methodologies to develop software.

Required Qualifications:
  • B.S. in data science, AI/ML, computer science, or related field
  • Minimum six (6) years of relevant experience as a Data Engineer/Scientist.
  • Experience developing data pipelines and normalizing data with canonical Python packages (e.g. NumPy, Pandas, Polars)
  • Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
  • Active TS/SCI U.S. Government Security Clearance with a recent Full-Scope Polygraph (FSP)

Preferred Qualifications:
  • M.S. or PhD in data science, AI/ML, computer science, or related field
  • Experience with Gitlab, DevSecOps utilizing test-driven development, containers, (e.g. Docker, Docker Compose), cloud services (e.g. AWS), tools for distributed computing (e.g. Spark, Pyspark)
  • Experience leading an interdisciplinary team of researchers and software developers
  • Experience with any of the following:
    • Large Language Models and experience identifying ways to incorporate them into new domains and applications
    • Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
    • Natural Language Processing algorithms such as BERT
    • Reinforcement learning and familiarity with Gymnasium Gym, OpenEnv, TorchRL, RLlib, and Stable Baselines
    • Applying clustering algorithms and/or deep neural networks to real life problems
    • Implementing tracking and pattern-of-life algorithms
  • Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
  • Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
  • Experience with Linux
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, Bedrock, etc.
  • Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
  • Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
  • Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Experience shaping and writing proposals

Location: Herndon, VA
Herndon offers a charming blend of small-town ambiance and modern conveniences. In historic Herndon you'll find small town charm while maintaining all the amenities of big city life. The area has beloved farms to explore, historic sites, festivals, local parks, breweries, and some of the best restaurants in the area. Its proximity to Dulles International Airport and the Herndon Metrorail Station provides easy travel to over 400 shops and restaurants in the malls of Tysons or stay on the train and see the monuments and memorials of Washington, DC. Overall, Herndon provides a perfect mix of small-town charm, and big-city amenities complimented with many family local attractions, events, music, restaurants and a great lifestyle!
What We Offer:
  • Comprehensive medical/vision/dental insurance packages
  • Company contributions to qualified HSA accounts
  • 401k retirement plan with industry leading company contributions
  • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
  • 13 paid holidays
  • Upfront tuition assistance for approved degree programs
  • Annual bonus program based on company and employee performance
  • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
  • 4 weeks paid Parental Leave
  • Employee assistance program (EAP)

EHS/Environmental Requirements:
This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.
ITC & Security Clearance Requirements:
This position requires an active TS/SCI U.S. Government Security Clearance with a recent Full-Scope Polygraph (FSP).
Visa Restrictions:
No visa sponsorship is available for this position.
Pre-employment Screenings:
Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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