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Assistant Cuda Jobs in Virginia (NOW HIRING)

Parsons

Software Developer - TS/SCI

Chantilly, VA · On-site

Senior members at BRE also directly assist with winning new work, writing proposals, and ... CUDA/GPU, Grid Systems, Parallel Processing, Threading * An active TS/SCI w/polygraph is preferred ...

Parsons

Senior Software Developer - TS/SCI

Herndon, VA · On-site

$56 - $74/hr

Senior members at BRE also directly assist with winning new work, writing proposals, and ... CUDA/GPU, Grid Systems, Parallel Processing, Threading * An active TS/SCI w/polygraph is preferred ...

GDIT

Data Scientist - TS/SCI w/Poly

Mclean, VA · On-site

$212K - $287K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Optimize existing machine learning services to better utilize current GPU capabilities and assist ... Python, Cuda, Kubernetes, CI/CD. Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object ...

Parsons

Software Developer - TS/SCI

Herndon, VA · On-site

Senior members at BRE also directly assist with winning new work, writing proposals, and ... CUDA/GPU, Grid Systems, Parallel Processing, Threading * An active TS/SCI w/polygraph is preferred ...

Parsons

Senior Software Developer - TS/SCI

Chantilly, VA · On-site

$55.75 - $73.75/hr

Senior members at BRE also directly assist with winning new work, writing proposals, and ... CUDA/GPU, Grid Systems, Parallel Processing, Threading * An active TS/SCI w/polygraph is preferred ...

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Assistant Cuda information

What are the roles and responsibilities of an assistant CUDA developer?

An Assistant Cuda typically supports senior CUDA (Compute Unified Device Architecture) developers or teams working with NVIDIA’s parallel computing platform. Their responsibilities include assisting in developing, testing, and optimizing code written for GPUs to accelerate computing tasks, debugging CUDA applications, and maintaining documentation. They may also handle routine tasks such as performance benchmarking, code reviews, and collaborating with other team members to implement efficient GPU solutions. This role is crucial in organizations that rely on high-performance computing, scientific simulations, or AI workloads.

What skills and qualifications are needed to thrive as an assistant CUDA developer?

To thrive as an Assistant CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and familiarity with GPU architectures, often backed by a degree in computer science or a related field. Proficiency with CUDA development tools, debugging utilities, and version control systems like Git is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and optimizing code. These skills ensure efficient development of high-performance applications and successful integration of GPU acceleration into software solutions.

What are common challenges faced by assistant CUDA developers when optimizing code for GPU performance?

Assistant CUDA developers often encounter challenges such as managing memory efficiently between the host and device, ensuring proper kernel parallelization, and avoiding thread divergence. Balancing occupancy and resource usage can also be tricky, as it requires a deep understanding of how CUDA schedules and executes threads. Collaborating closely with data scientists and other engineers is essential to identify performance bottlenecks and implement effective optimizations.

What is the difference between Assistant Cuda vs Assistant Data Analyst?

AspectAssistant CudaAssistant Data Analyst
Required CredentialsTypically a relevant degree in computer science or related fieldOften a degree in data science, statistics, or related field
Work EnvironmentTech companies, software development teams, AI projectsBusiness, finance, marketing, or research departments
Employer & Industry UsageUsed in tech and AI industries for supporting CUDA programming tasksCommon in data-driven industries for data processing and analysis

Assistant Cuda and Assistant Data Analyst roles share some technical background but differ mainly in focus. Assistant Cuda primarily supports GPU programming and AI development, while Assistant Data Analyst focuses on data interpretation and reporting. Both roles require relevant technical skills and are found in industries leveraging data and technology, but their daily tasks and industry applications vary significantly.

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

The most popular types of Cuda jobs in Virginia are:

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

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

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

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

What cities in Virginia are hiring for Assistant Cuda jobs?

Cities in Virginia with the most Assistant Cuda job openings:

Assistant Cuda jobs near you

Joint Wargaming AI Integration (Engineer Software 2) - 29101

Huntington Ingalls Industries

Suffolk, VA • On-site

$105 - $115/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Huntington Ingalls Industries rating

7.5

Company rating: 7.5 out of 10

Huntington Ingalls Industries

Based on 147 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,712 frontline employees who took The Breakroom Quiz

Job description

Joint Wargaming AI Integration (Engineer Software 2) - 29101

Location: Suffolk, VA, Virginia, United States

Requisition Number: 29101

Required Travel: 0 - 10%

Employment Type: Full Time/Salaried/Exempt

Anticipated Salary Range: $105,000.00-$115,000.00

Security Clearance: Secret

Level of Experience: Mid

Summary

Mission Technologies, a division of Huntington Ingalls Industries, is seeking a Software Engineer to support the Joint Wargaming and Experimentation Division (JWED) as part of the Globally Integrated Wargame Modernization effort for Joint Staff J7. This hybrid role is based at the Joint Staff Complex in Suffolk, VA. In this position, you will help deploy and configure AI solutions—including large language models (LLMs)—in secure, air gapped environments. We’re looking for someone with strong foundational Linux and containerization skills who is eager to work with emerging AI technologies. Deep model training expertise is not required.

What You Will Do
  • Install and configure LLM solutions in air gapped environments
  • Optimize vLLM performance for efficient model inference
  • Maintain and manage compose.yaml files for vLLM and Open WebUI
  • Write basic Python scripts to support automation and integration
  • Deploy and troubleshoot Docker based applications
  • Configure and administer Linux systems
  • Document deployment processes and troubleshooting steps
  • Monitor system performance and resource utilization
  • Work with cross functional teams to integrate AI capabilities
  • Support testing and validation of AI deployments
  • Follow security and compliance requirements for secure environments
  • Assist with version control and configuration management
What You Must Have
  • 2 years experience with Bachelor’s in a related field; 0 years experience with Master’s in a related field; or High School Diploma or equivalent and 6 years relevant experience.
  • Hands on Linux experience (installation, configuration, command line)
  • Working knowledge of Docker and containerization
  • Basic Python scripting skills
  • Understanding of YAML configuration
  • Familiarity with AI/ML concepts (LLMs, inference, deployment)
  • Strong troubleshooting and problem solving abilities
  • Ability to work independently in isolated or air gapped networks
  • Strong communication and organizational skills
  • Self motivated, quick learner
  • Active Secret security clearance with the ability to obtain a Top Secret/SCI
Preferred Requirements
  • Experience with LLM platforms (vLLM, Ollama, TGI, etc.)
  • Experience with Open WebUI or similar tools
  • Knowledge of GPU accelerated computing and CUDA
  • Experience with system performance monitoring and optimization
  • Understanding of REST APIs and basic API integration
  • Git version control experience
  • Familiarity with infrastructure as code concepts
  • Experience in secure, classified, or air gapped environments
  • GOTS/COTS software integration experience
  • Knowledge of container resource management
  • Exposure to CI/CD concepts
Physical Requirements

Adequate visual acuity and manual dexterity for meeting the requirements Software Engineer family.

Benefits

We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, veteran status or any other basis protected by federal, state, or local law.

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Working at Huntington Ingalls Industries

About Huntington Ingalls Industries, in their own words

From Huntington Ingalls Industries

Our 44,000-strong team includes skilled tradespeople; artificial intelligence and machine learning experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large employers, we are a values and ethics driven organization that puts people's safety and well-being first. Here you'll find a collaborative environment, competitive benefits, and valuable educational and training programs that span our shipbuilding apprentice schools in Virginia and Mississippi to tuition reimbursement programs that support continual career growth at every stage of your career.

Our values of integrity, safety, respect, engagement, responsibility and performance are the foundation of HII's ethical culture that inspires employees to do the right thing each day, regardless of the circumstances.

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