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Nvidia Cybersecurity Jobs in Virginia (NOW HIRING)

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

... NVIDIA GPU ecosystems Nice to have: * Exposure to tools such as LangGraph, Semantic Kernel, vLLM, Ollama, Ray, and vector databases * Experience in integrating observability, cybersecurity, and ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

... NVIDIA GPU ecosystems Nice to have: * Exposure to tools such as LangGraph, Semantic Kernel, vLLM, Ollama, Ray, and vector databases * Experience in integrating observability, cybersecurity, and ...

Constellis

DevOps Engineer

VA · On-site +1

$55.75 - $76.25/hr

Support compliance withDoD cybersecurity and cloud security standardswhere applicable. * Work is ... Hands-on experience with Jenkins, Nvidia GPU toolkits, or broader DevOps toolchains * Monitoring ...

Constellis

DevOps Engineer

VA · On-site +1

$55.75 - $76.25/hr

Support compliance with DoD cybersecurity and cloud security standards where applicable. * Work is ... Hands-on experience with Jenkins, Nvidia GPU toolkits, or broader DevOps toolchains * Monitoring ...

Leidos

Senior AI Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

... platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric ... Ollama * Ray * NVIDIA GPU ecosystems * Vector databases If you're looking for comfort, keep ...

Sunayu

Contingent AI Engineer - Top Secret

Alexandria, VA · On-site

$111K - $133K/yr

... cybersecurity, and observability in a fast-paced, engineering-centric environment. What You Bring ... NVIDIA GPU ecosystems * Vector databases ----- Who We Are Sunayu, LLC serves as a premier ...

Deloitte

Physical AI Senior Manager

Rosslyn, VA · On-site

$144K - $190K/yr

Hands-on experience with NVIDIA ecosystem elements relevant to Physical AI (e.g., accelerated ... cybersecurity, model drift, human-in-the-loop workflows, and maintenance/operating model ...

Deloitte

Physical AI Senior Manager

Mclean, VA · On-site

$127K - $168K/yr

Hands-on experience with NVIDIA ecosystem elements relevant to Physical AI (e.g., accelerated ... cybersecurity, model drift, human-in-the-loop workflows, and maintenance/operating model ...

Deloitte

Physical AI Senior Manager

Richmond, VA · On-site

$125K - $165K/yr

Hands-on experience with NVIDIA ecosystem elements relevant to Physical AI (e.g., accelerated ... cybersecurity, model drift, human-in-the-loop workflows, and maintenance/operating model ...

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Nvidia Cybersecurity information

Does NVIDIA have cyber security jobs?

NVIDIA offers cybersecurity jobs that involve protecting its hardware, software, and data from cyber threats. These roles often require skills in network security, threat analysis, and familiarity with security tools and protocols. Candidates typically need relevant experience or certifications such as CISSP or CEH.

What are the key skills and qualifications needed to thrive in the Nvidia Cybersecurity position, and why are they important?

To succeed in Nvidia Cybersecurity, candidates typically require a strong background in information security, network defense, and risk assessment, often backed by a degree in computer science or a related field. Familiarity with cybersecurity tools such as SIEMs, IDS/IPS, and certifications like CISSP or CEH are highly valued. Analytical thinking, strong problem-solving abilities, and effective communication help individuals excel in cross-functional environments. These competencies ensure the protection of sensitive data, rapid response to threats, and seamless teamwork in a fast-paced technology landscape.

Can you make $500,000 a year in cyber security?

Cybersecurity professionals, including those working in roles like cybersecurity engineers or managers, can potentially earn $500,000 annually with extensive experience, advanced certifications, and leadership responsibilities. Such high salaries are typically found in senior positions, specialized fields, or executive roles within large organizations. Achieving this level often requires a combination of technical expertise, strategic skills, and years of industry experience.

What does a typical workday look like for someone in Nvidia Cybersecurity?

A typical workday in Nvidia Cybersecurity involves monitoring security alerts, investigating potential threats, and collaborating with IT, engineering, and security teams to implement protective measures. Professionals frequently conduct vulnerability assessments, review system logs, and participate in incident response activities to ensure the organization's assets are secure. They may also help develop security protocols and provide guidance during code reviews. This dynamic environment offers continuous learning and a chance to work on cutting-edge technology alongside industry experts.

Can you make $200,000 in cyber security?

Cybersecurity professionals, including roles like cybersecurity analyst or engineer, can earn $200,000 or more annually with extensive experience, advanced certifications, and specialized skills such as penetration testing or threat analysis. High salaries are often found in senior positions, management, or in industries with high security demands, and may require working in high-cost-of-living areas or for large organizations.

Is IT hard to get hired at NVIDIA?

Getting hired for cybersecurity roles at NVIDIA can be competitive, often requiring relevant technical skills, certifications, and experience in areas like network security or threat analysis. Candidates typically go through a rigorous interview process that assesses technical knowledge and problem-solving abilities.

What is a Nvidia Cybersecurity job?

An Nvidia Cybersecurity job involves protecting the company's systems, data, and infrastructure from cyber threats. Professionals in this role work on threat detection, risk assessment, vulnerability management, and incident response. They collaborate with IT and security teams to develop and implement security policies, ensuring compliance with industry standards. Additionally, they may use AI-driven security solutions to enhance threat analysis and mitigation.

What are the most commonly searched types of Nvidia Cybersecurity jobs in Virginia? The most popular types of Nvidia Cybersecurity jobs in Virginia are:
What are popular job titles related to Nvidia Cybersecurity jobs in Virginia? For Nvidia Cybersecurity jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Nvidia Cybersecurity jobs in Virginia look for? The top searched job categories for Nvidia Cybersecurity jobs in Virginia are:
What cities in Virginia are hiring for Nvidia Cybersecurity jobs? Cities in Virginia with the most Nvidia Cybersecurity job openings:
Nvidia Cybersecurity jobs near you
Infographic showing various Nvidia Cybersecurity job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
AI Engineer

AI Engineer

Accenture Federal Services

Arlington, VA • On-site

Other

Posted 4 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

59th of 487 rated business services

Job description

The work

As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a modern Hub-and-Spoke architecture designed to accelerate enterprise AI adoption, support mission-critical applications, and enable robust AI governance.

You will be responsible for integrating AI solutions with DevSecOps, data engineering, platform engineering, and cybersecurity practices, ensuring seamless delivery and continuous monitoring of scalable AI-powered software. Your contributions will directly impact the deployment of agentic AI systems, orchestration frameworks, and operational workflows tailored to complex, real-world missions.

Key responsibilities:

  • Design, develop, and operationalize AI and agentic AI systems for production mission environments
  • Implement and optimize AI/ML production engineering workflows, including LLMOps and MLOps best practices
  • Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks
  • Manage Kubernetes-based AI deployments and ensure seamless integration with OpenAI-compatible APIs
  • Develop and maintain Python-based AI applications, focusing on GPU inference optimization
  • Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions
  • Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability
  • Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering, and cybersecurity
  • Support enterprise AI governance, continuous monitoring, and observability for mission-critical applications
  • Contribute to the delivery of scalable, secure, and reliable AI software within a modern Hub-and-Spoke architecture
  • Participate in the integration of operational workflows to accelerate AI adoption and mission impact

Here's what you need:

  • Experience AI/ML production engineering, LLMOps or MLOps, and the deployment of Retrieval-Augmented Generation (RAG) architectures.
  • Familiarity with Kubernetes-based AI deployments, OpenAI-compatible APIs, and Python development 
  • Experience in GPU inference optimization and working within NVIDIA GPU ecosystems

Nice to have:

  • Exposure to tools such as LangGraph, Semantic Kernel, vLLM, Ollama, Ray, and vector databases 
  • Experience in integrating observability, cybersecurity, and scalable software delivery into AI platforms will help you succeed in supporting the continuous evolution and governance of enterprise AI systems

Eligibility requirements:

  • US Citizen 
  • An active TS/SCI federal security clearance is required

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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