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Cuda Jobs in Virginia (NOW HIRING)

Computer Vision AI Engineer

Mclean, VA ยท On-site

$120 - $160/hr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Computer Vision AI Engineer

Mclean, VA ยท On-site

$99K - $225K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Computer Vision AI Engineer

Mclean, VA ยท On-site

$99K - $225K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Computer Vision AI Engineer

Mclean, VA ยท On-site

$99K - $225K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Showing results 21-40

Cuda information

See Virginia salary details

$110.5K

$204.2K

How much do cuda jobs pay per year?

As of Aug 18, 2026, the average yearly pay for cuda in Virginia is $198,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $203,200.00 and $203,200.00 per year, depending on experience, location, and employer.

What is a CUDA developer?

A CUDA job typically involves developing, optimizing, and implementing parallel computing applications using NVIDIA's CUDA platform. CUDA (Compute Unified Device Architecture) enables developers to leverage the power of GPUs for high-performance computing tasks such as deep learning, simulations, and scientific computing. Professionals in this role often work with C, C++, or Python, using CUDA libraries and frameworks to accelerate processing. Strong knowledge of parallel programming, memory management, and GPU architecture is essential for success in this field.

What are some common challenges faced when working as a CUDA developer, and how can they be addressed?

CUDA Developers often encounter challenges such as debugging complex parallel code, optimizing memory usage, and ensuring compatibility across different GPU architectures. To address these, it's important to leverage profiling tools like NVIDIA Nsight to identify bottlenecks and inefficiencies. Collaborating closely with team members, such as data scientists and software engineers, can also help in resolving integration issues and achieving better performance. Staying updated with the latest CUDA Toolkit releases and best practices is key to overcoming these challenges and delivering robust GPU-accelerated applications.

What are the key skills and qualifications needed to thrive as a CUDA developer, and why are they important?

To thrive as a CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and experience with GPU architectures. Familiarity with the CUDA toolkit, NVIDIA GPUs, and related profiling/debugging tools is typically required, and certifications in GPU programming can be advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills for optimizing code and collaborating with cross-functional teams. These skills are crucial for developing high-performance applications that leverage GPU acceleration, ensuring efficiency and innovation in compute-intensive fields.

What is the difference between Cuda vs GPU Developer?

AspectCudaGPU Developer
Required CredentialsKnowledge of CUDA programming, often with a background in computer science or engineeringExperience with GPU programming, CUDA, OpenCL, or similar; often requires a degree in computer science or related fields
Work EnvironmentPrimarily focused on developing and optimizing CUDA-based applications for NVIDIA GPUsDesigning, developing, and maintaining GPU-accelerated applications across various platforms and hardware
Industry UsageUsed mainly in high-performance computing, AI, and scientific research involving NVIDIA GPUsApplied across gaming, scientific computing, AI, and multimedia industries

In summary, CUDA is a specialized skill set focused on programming NVIDIA GPUs using CUDA, while a GPU Developer has a broader role that may include using various GPU programming tools and working across multiple platforms. CUDA is a subset of the skills a GPU Developer might possess, making them closely related but distinct roles.

What are the most commonly searched types of Cuda jobs in Virginia?

The most popular types of Cuda jobs in Virginia are:

Infographic showing various Cuda job openings in Virginia as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $198,790 per year, or $95.6 per hour.

Linux Systems Engineer - TS/SCI

Plus3 IT Systems

Charlottesville, VA โ€ข On-site

$100K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Job Title: Linux Systems Engineer (HPC)

Location: Charlottesville, VA (Onsite)

Clearance Requirement: Active TS/SCI 

*Compensation Range:  $100K - $175K


Join Plus3 IT Systems! We are at the forefront of cloud computing, providing comprehensive and cutting-edge solutions across a wide array of critical domains. But we don’t stop at implementing technology; we are trusted advisors, delivering expert analysis to fully understand our clients unique challenges and objectives. Our passion is all about empowering our customers to reach their strategic goals. This mission is fueled by our exceptional teams of innovative technology practitioners, who bring deep technical skills and an unwavering commitment to excellence. At Plus3 IT, we foster agile, collaborative processes, working hand-in-hand with our clients to ensure transparency, flexibility, and ultimately, their success in the cloud. 


What You’ll Do: 

  • Deploy, configure, and sustain multi-node Linux HPC cluster environments, including node provisioning, integration, and day-to-day operational support. 
  • Administer and troubleshoot workload scheduling platforms, including queue configuration, job submission workflows, and scheduler performance optimization.
  • Support distributed and containerized compute workloads leveraging parallel frameworks and container technologies within the cluster environment.
  • Monitor and analyze performance across compute, storage, and network layers including high-performance networking technologies and drive resolution of cluster communication issues.
  • Support GPU-enabled compute environments and CUDA-based workloads, ensuring proper resource allocation and integration with the scheduling platform.
  • Develop and maintain operational scripts and automation tooling (Bash, Python) to improve cluster administration efficiency and reduce manual toil.


QUALIFICATIONS

Clearance and Certification Requirements:

  • Active TS/SCI clearance required
  • Active or ability to obtain DoD 8140 IAT Level II certification (e.g., Security+)
  • Bachelor's degree in Computer Science, Information Technology, Engineering or similar; an additional 4 years of experience will be considered in lieu of degree


Minimum Requirements: 

  • Minimum 6 years of Linux systems administration experience in enterprise, research computing, or distributed compute environments
  • Demonstrated experience supporting HPC cluster platforms or distributed compute environments at scale
  • Hands-on experience with workload schedulers, queue management and job troubleshooting
  • Proficiency in Linux command-line administration, including server configuration and system troubleshooting in distributed environments
  • Ability to work onsite (hybrid and remote options not available)


Preferred Skills: 

  • Direct administration experience with multi-node HPC cluster environments, including provisioning workflows and lifecycle management
  • Experience with parallel or distributed file systems in a cluster context
  • Familiarity supporting MPI or OpenMP parallel workloads and understanding of how they interact with schedulers and underlying hardware
  • Experience supporting GPU-enabled compute environments and CUDA-based workloads within an HPC cluster
  • Proficiency with configuration management tools such as Ansible or Puppet applied to cluster-scale infrastructure
  • Prior experience supporting systems within DoD, IC, or research laboratory environments 


What You’ll Love About Plus3:

  • Agile & Collaborative: Work in a highly collaborative environment where your ideas are heard, and you can quickly adapt and innovate.
  • Invested in You: Your growth is our priority. We offer a culture of continuous learning and support designed to keep your skills sharp and help you advance your career.
  • Culture That Connects: Be part of a supportive team that values collaboration, quality, and a sense of belonging from the moment you join.
  • Cutting-Edge Work: Engage with advanced cloud and AI solutions that are at the forefront of technology.


What You’ll Bring to Plus3:

  • A passion for working on cutting-edge, high-profile projects and a drive for delivering solutions 
  • An insatiable curiosity: you ask why, proactively exploring and sharing ideas
  • A love for learning new technologies and sharing them with your team
  • A keen interest in utilizing Cloud-based and Open Source tools for problem-solving
  • A strong self-starter that flourishes in a team environment; and love the ability to work on multiple projects simultaneously
  • Strong verbal and written communication skills for effective collaboration with customers, vendors, and engineering teams to solve complex business problems


EEO: At Plus3 IT Systems, we believe our success is driven by the contributions of every employee. As an Equal Opportunity Employer, we make employment decisions based solely on an individual’s qualifications, skills and merit, and without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact hr@plus3it.com.
*Compensation:  Actual compensation will be determined based on the candidate's specific blend of experience, qualifications, and performance location. Salaries or compensation for part-time roles may be prorated or adjusted based upon the agreed upon number of hours to be regularly worked.


Benefits: Plus3 IT Systems offers eligible employees a variety of benefits including Employer-paid health, dental, vision, life, short/long term disability, contribution to health savings account, 401(k) matching, parental leave, flexible paid vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.plus3it.com/work-here.


Application Duration: The anticipated duration for applications is 30 days from the date of posting. Please note that this timeframe is subject to change—it may be extended or shortened—based on business requirements and the availability of qualified applicants.


Position: This is a full-time position and work days are Monday through Friday.  Specific work hours are established with Team Lead. Work location may vary, including onsite requirements which are outlined in the requirements and confirmed with Team Lead.