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Remote Nvidia Cyber Security Jobs (NOW HIRING)

STN Incorporated

AI Infrastructure Engineer

Pleasanton, CA · Remote

$145K - $195K/yr

Remote or Onsite - Pleasanton, California At STN , we don't just adapt to the digital future, we ... Our approach is innovation-led and rooted in cybersecurity, with a focus on leveraging the right ...

Armada

Senior Commercial Counsel, Public Sector

$142K - $194K/yr

... partnerships including NVIDIA, Palantir and Dell Technologies. We are looking for the most ... This role is remote within the continental United States. What You'll Do * Draft, review, and ...

Armada

Head of Analyst Relations

... partnerships including NVIDIA, Palantir and Dell Technologies. We are looking for the most ... This role is remote in the continental United States. Key Responsibilities * Develop & Execute ...

All JobsNvidia Cyber Security JobsRemote Nvidia Cyber Security Jobs

Remote Nvidia Cyber Security information

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$57K

$133K

$186K

How much do remote nvidia cyber security jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote nvidia cyber security in the United States is $132,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $150,000.00 per year, depending on experience, location, and employer.

How does a remote Nvidia Cyber Security professional typically collaborate with global teams and stakeholders?

As a remote Nvidia Cyber Security professional, you will frequently collaborate with diverse teams across different time zones, including IT, engineering, and product development units. Communication is often facilitated through secure digital platforms, video conferencing, and project management tools. Regular collaboration ensures swift response to security incidents, alignment on best practices, and knowledge sharing for new threats. Being proactive in communication and adaptable to different schedules is crucial for success in this role.

What is the difference between Remote Nvidia Cyber Security vs Remote Nvidia Network Security?

AspectRemote Nvidia Cyber SecurityRemote Nvidia Network Security
CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, Cisco CCNA Security, CISSP
Work EnvironmentRemote, cybersecurity teams, security operations centersRemote, network infrastructure teams, security operations centers
Industry UsageCybersecurity threats, data protection, incident responseNetwork infrastructure, firewall management, network monitoring

Remote Nvidia Cyber Security focuses on protecting systems from cyber threats, incident response, and security protocols. In contrast, Remote Nvidia Network Security emphasizes securing network infrastructure, managing firewalls, and monitoring network traffic. Both roles often require similar certifications and work remotely within security teams, but their core responsibilities differ in scope and focus.

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

To thrive as a Remote Nvidia Cyber Security professional, you need a solid understanding of network security, threat analysis, risk management, and experience with security frameworks, typically supported by a degree in computer science or cybersecurity and relevant certifications like CISSP or CEH. Familiarity with Nvidia-specific technologies, cloud security tools, SIEM systems, and vulnerability assessment platforms is essential. Strong analytical thinking, attention to detail, effective communication, and the ability to work independently are key soft skills in this role. These skills and qualities are crucial for effectively identifying, mitigating, and communicating security threats while ensuring the protection of sensitive data in a remote environment.

What is a Remote Nvidia Cyber Security job?

A Remote Nvidia Cyber Security job involves protecting Nvidia's digital assets, data, and systems from cyber threats while working from a location outside of Nvidia’s physical offices. Professionals in this role monitor networks for security breaches, respond to incidents, implement security measures, and ensure compliance with industry standards, all while collaborating with teams virtually. They play a crucial role in safeguarding Nvidia’s technologies, intellectual property, and customer information from cyberattacks, such as hacking or malware. Working remotely, they utilize advanced security tools and communication platforms to stay connected and effective in their duties.
More about Remote Nvidia Cyber Security jobs
What cities are hiring for Remote Nvidia Cyber Security jobs? Cities with the most Remote Nvidia Cyber Security job openings:
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Remote Nvidia Cyber Security jobs near you
Infographic showing various Remote Nvidia Cyber Security job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 4% Full Time, and 95% Part Time. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $132,962 per year, or $63.9 per hour.
AI Infrastructure Engineer

AI Infrastructure Engineer

STN Incorporated

Pleasanton, CA • Remote

$145K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Location: Remote or Onsite – Pleasanton, California

At STN, we don't just adapt to the digital future, we engineer it. Our mission is to help organizations thrive in a rapidly evolving technology landscape through strategic insight, cutting-edge solutions, and a security-first mindset. We provide end-to-end services spanning cloud consulting, AI infrastructure, and enterprise security, enabling secure, scalable, and future-ready transformation.

As trusted advisors, we align IT investments with business outcomes that drive performance and growth, starting with deep strategic engagement and delivering tailored solutions built for long-term impact.

Our approach is innovation-led and rooted in cybersecurity, with a focus on leveraging the right technologies to solve real-world challenges. We invest in our people and foster a culture of growth, inclusion, and purpose because we believe empowered teams build transformative technology.

Overview
The AI Infrastructure Engineer will be responsible for designing, deploying, and maintaining robust infrastructure systems tailored for AI and machine learning operations. This role focuses on ensuring seamless performance, scalability, and reliability in distributed computing environments. You'll collaborate with data scientists, ML engineers, and DevOps teams to support large-scale AI training and inference pipelines.

Key Responsibilities

  • Design and implement AI infrastructure solutions, including cluster management, resource allocation, and workload orchestration for high-performance computing (HPC) environments.
  • Deploy, configure, and troubleshoot containerized applications using Kubernetes across various flavors (e.g., vanilla Kubernetes, Amazon EKS, Google GKE, Azure AKS, and on-premises setups).
  • Manage job scheduling and resource management using Slurm for efficient utilization of GPU clusters in AI training workflows.
  • Optimize Ubuntu-based systems for AI workloads, including kernel tuning, security hardening, and performance monitoring.
  • Integrate and maintain NVIDIA GPU technologies, ensuring compatibility with AI frameworks like TensorFlow, PyTorch, and CUDA.
  • Monitor system performance, identify bottlenecks, and implement automation scripts for infrastructure provisioning and scaling.
  • Collaborate on disaster recovery planning, security compliance, and cost optimization for cloud and on-premises AI infrastructure.
  • Stay updated on emerging technologies in AI infrastructure and contribute to best practices documentation.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Proven expertise as an Ubuntu specialist, with hands-on experience in system administration, networking, and scripting (e.g., Bash, Python) on Ubuntu servers.
  • Extensive experience with Kubernetes in all major flavors, including cluster setup, scaling, networking (e.g., CNI plugins), and security (e.g., RBAC, Pod Security Policies).
  • Strong proficiency in Slurm for managing HPC clusters, including job submission, queue configuration, and integration with GPU resources.
  • 3+ years of experience in infrastructure engineering, preferably in AI/ML or HPC environments.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration tools.
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

  • NVIDIA certifications (e.g., NVIDIA Certified Professional in Data Center GPU Management or CUDA Programming) are a strong plus.
  • Experience with other HPC schedulers (e.g., PBS, LSF) or AI-specific tools like Kubeflow.
  • Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible) and CI/CD pipelines.
  • Background in AI model deployment, monitoring tools (e.g., Prometheus, Grafana), or edge computing.

Compensation

  • Full-Time, Exempt
  • Salary: $145K-195K, DOE

Benefits

  • Health Coverage – Medical, Dental & Vision
  • FSA Health and Dependent Care available
  • 401(k) Plan
  • Unlimited Paid Time Off (PTO)
  • Observed Holidays Paid
  • Cell Phone Allowance
  • Collaborative, growth-driven culture

Applicants must be authorized to work in the U.S.  We are unable to provide sponsorship at this time.