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Remote Nvidia Engineering Jobs in Virginia (NOW HIRING)

Constellis

DevOps Engineer

VA · On-site +1

$55.75 - $76.25/hr

Work is typically based in a remote office environment and subject to frequent interruptions ... 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

Work is typically based in a remote office environment and subject to frequent interruptions ... Hands-on experience with Jenkins, Nvidia GPU toolkits, or broader DevOps toolchains * Monitoring ...

All JobsNvidia Engineering JobsRemote Nvidia Engineering JobsRemote Nvidia Engineering Jobs in Virginia

Remote Nvidia Engineering information

What is a Remote Nvidia Engineer?

A Remote Nvidia Engineer is a professional who works for Nvidia, or with Nvidia technologies, from a location outside of a traditional office setting. These engineers may specialize in areas such as GPU development, AI research, software engineering, or hardware design, and they collaborate with teams virtually. Remote Nvidia Engineers use digital tools to communicate, manage projects, and contribute to cutting-edge technologies in graphics processing, artificial intelligence, and computing platforms. The remote aspect allows for flexible work arrangements and the ability to participate in global projects.

What are some common challenges faced by engineers working remotely for Nvidia, and how can they be overcome?

Remote engineers at Nvidia often encounter challenges related to communication across time zones, staying aligned with fast-paced project developments, and maintaining visibility within distributed teams. To overcome these, it's important to proactively engage in virtual meetings, leverage collaboration tools like Slack and Jira, and regularly update your team on progress. Building strong relationships with peers and seeking out mentorship opportunities can also help remote engineers stay connected and advance within the company.

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

To excel as a Remote Nvidia Engineer, you typically need a strong background in computer engineering, programming (e.g., C++, Python), and experience with GPU architectures, often supported by a relevant degree. Familiarity with Nvidia tools like CUDA, cuDNN, and deep learning frameworks, as well as proficiency in remote collaboration platforms, are crucial. Strong problem-solving skills, self-motivation, and effective communication are vital soft skills for working independently and collaborating across distributed teams. These competencies ensure efficient development, troubleshooting, and innovation in Nvidia's complex, high-performance computing environments.

What is the difference between Remote Nvidia Engineering vs Remote Nvidia Data Scientist?

AspectRemote Nvidia EngineeringRemote Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with GPU programmingBachelor's or higher in Data Science, Statistics, or related; proficiency in machine learning and data analysis
Work EnvironmentDesign, develop, and optimize GPU hardware/software; collaborative teamsAnalyze large datasets, develop models, and generate insights; often cross-functional teams
Employer & Industry UsagePrimarily in hardware, AI, and high-performance computing sectorsPrimarily in AI, analytics, and research sectors

Remote Nvidia Engineering focuses on hardware and software development for GPUs, requiring engineering credentials and technical skills. Remote Nvidia Data Scientists analyze data and build models, requiring expertise in data science. Both roles are remote, but they serve different functions within Nvidia's ecosystem.

What are the most commonly searched types of Nvidia Engineering jobs in Virginia? The most popular types of Nvidia Engineering jobs in Virginia are:
What are popular job titles related to Remote Nvidia Engineering jobs in Virginia? For Remote Nvidia Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Engineering jobs in Virginia look for? The top searched job categories for Remote Nvidia Engineering jobs in Virginia are:
What cities in Virginia are hiring for Remote Nvidia Engineering jobs? Cities in Virginia with the most Remote Nvidia Engineering job openings:
Remote Nvidia Engineering jobs near you
Infographic showing various Remote Nvidia Engineering job openings in Virginia as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 2% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

DevOps Engineer

Constellis

VA • On-site, Remote

$55.75 - $76.25/hr

Full-time

Posted 15 days ago

Constellis rating

7.2

Company rating: 7.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

37th of 116 rated security

Job description

POSITION SUMMARY

Layered Extended Security Operations (LEXSO) is Constellis' advanced multi-sensor integration platform, purpose-built to deliver real-time situational awareness and operational automation. By integrating leading-edge sensors, cloud-native infrastructure, and AI-driven analytics, LEXSO enables responsesat the speed of sensingto protect critical infrastructure, bases of operations, and high-value assets worldwide.

Constellis is hiring a DevOps Engineer to join a team focused towards strengthening our platform delivery and ensure seamless deployment, monitoring, and scaling of LEXSO across government and commercial environments. In this role, you will have the ability to:

  • Work at the intersection ofsecurity, AI, and mission-critical infrastructure.
  • Contribute to protectingUS government and commercial assetswith cutting-edge technology.

RESPONSIBILITIES

  • Design, build, and manageCI/CD pipelinesfor automated deployments across staging, test, and production environments.
  • Manage and optimizeKubernetes clustersfor LEXSO's real-time, sensor-driven workloads.
  • Containerize services usingDocker (or Podman)and manage registries.
  • ImplementInfrastructure as Code(Terraform, Ansible, or equivalent) for repeatable, scalable deployments.
  • Maintainsecure version control practices(Git, GitHub, GitLab, or equivalent).
  • Configure, maintain, and improve monitoring, alerting, and incident response systems.
  • Collaborate closely with developers, data scientists, and sensor integration teams to accelerate feature delivery and ensure resilience in operational deployments.
  • Support compliance withDoD cybersecurity and cloud security standardswhere applicable.
  • Work is typically based in a remote office environment and subject to frequent interruptions. Business work hours are Monday-Friday standard core hours, however some extended or weekend hours may be required.
  • Other duties as assigned.

QUALIFICATIONS

  • 2-5 yearsexperience in DevOps, infrastructure, or cloud engineering.
  • Scripting inBash, Python, or PowerShell.
  • Hands-on experience withCI/CD pipelines and deployment automation.
  • Kubernetes experience(explicit, production-level).
  • Containerizationexperience with Docker or Podman (explicit, production-level).
  • Experience withInfrastructure as Code(Terraform, Ansible, or similar).
  • Experience usingGit or equivalent version control systems.
  • Familiarity with monitoring, logging, andincident response workflows.
  • Strong collaboration skills with software developers.
  • Ability to attain a Secret Clearance
  • Preferred Qualifications:
    • Hands-on experience with Jenkins, Nvidia GPU toolkits, or broader DevOps toolchains
    • Monitoring and alerting with Prometheus, Grafana, ELK, Splunk and/or CloudWatch

BENEFITS

Constellis offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects its commitment to creating a diverse and supportive workplace.

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