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Remote Nvidia Cyber Security Jobs (NOW HIRING)

AI Researcher II (Intern) - United States

San Jose, CA · On-site +1

$17.50 - $23.50/hr

This role may be eligible for remote work in the United States depending on business needs and ... Familiarity with cybersecurity principles, AI systems for security-focused use cases, safety, and ...

Enterprise Account Executive

New York, NY · Remote

$280K - $330K/yr (+ commission)

Experience in DevOps, Infrastructure, Data, Observability, or Cybersecurity is highly preferred ... with a remote-first culture. We give AI Cloud providers and AI factories a hyperscaler-like ...

Enterprise Account Executive

New York, NY · Remote

$280K - $330K/yr (+ commission)

Experience in DevOps, Infrastructure, Data, Observability, or Cybersecurity is highly preferred ... with a remote-first culture. We give AI Cloud providers and AI factories a hyperscaler-like ...

Enterprise Account Executive

San Francisco, CA · Remote

$280K - $330K/yr (+ commission)

Experience in DevOps, Infrastructure, Data, Observability, or Cybersecurity is highly preferred ... with a remote-first culture. We give AI Cloud providers and AI factories a hyperscaler-like ...

Enterprise Account Executive

Chicago, IL · Remote

$280K - $330K/yr (+ commission)

Experience in DevOps, Infrastructure, Data, Observability, or Cybersecurity is highly preferred ... with a remote-first culture. We give AI Cloud providers and AI factories a hyperscaler-like ...

Showing results 21-27

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 Sep 5, 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.

What is a remote Nvidia Cyber Security professional?

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.

What are the key skills and qualifications needed to thrive as a remote Nvidia Cyber Security professional?

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.

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.

More about Remote Nvidia Cyber Security jobs

What are the most commonly searched types of Nvidia Cyber Security jobs?

The most popular types of Nvidia Cyber Security jobs are:

What states have the most Remote Nvidia Cyber Security jobs?

States with the most job openings for Remote Nvidia Cyber Security jobs include:

What job categories do people searching Remote Nvidia Cyber Security jobs look for?

The top searched job categories for Remote Nvidia Cyber Security jobs are:

Infographic showing various Remote Nvidia Cyber Security job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $132,962 per year, or $63.9 per hour.

AI Researcher II (Intern) - United States

Cisco

San Jose, CA • On-site, Remote

$17.50 - $23.50/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Cisco Systems rating

8.2

Company rating: 8.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

47th of 161 rated electronics manufacturers


Job description

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

This role may be eligible for remote work in theUnited Statesdepending on business needs and hiring manager approval.

Meet the Team

At Foundation AI, we are leading frontier AI research across Cisco. Our mission is to advance the state of AI. We translate that research into purpose-built models, agentic systems, new algorithms, optimization methods, and scalable data processing techniques that solve real-world problems at scale.

We explore new model architectures, pre-training and post-training methods, inference optimization, evaluation techniques, and data pipelines. Together, we are advancing AI at Cisco and for the broader AI community!

Your Impact

As an AI Researcher, you will work on the research, development, and deployment of advanced AI systems. Your focus will span large language models, agentic AI, multimodal learning, and enterprise-scale AI applications. We are looking for researchers who will help translate frontier research into practical systems by designing experiments, developing new methods, and turning research insights into impactful, scalable AI solutions.

We are particularly interested in researchers with deepexpertisein algorithm design for pre-training and post-training, scalable data curation, and reliable AI infrastructure. You will drive improvements to training algorithms, curate and optimize data at scale, and design infrastructure needed to train purpose-built models that can compete with frontier models on specific tasks aligned with Cisco's business priorities and Foundation AI's research agenda.

We place a strong emphasis on publishing research and contributing meaningfully to the AI community. In this role, you willwritescientific articles for top-tier machine learning and AI conferences, publish technical blog posts, and contribute to the open-source AI community!

In this role, you will:

  • Develop scalable data curation and processing methods that improve model training and task-specific performance.

  • Build production-ready AI systems using strong software engineering practices.

  • Optimizelarge language models and agentic systems for enterprise and security-focused use cases.

Minimum Qualifications

  • Currently enrolled in one of the following:

-An undergraduate degree program(Associate's or Bachelor's)with 2 years of work experience; or

-A Master's degree programwith 0 years of work experience.

-Qualifying education and workexperience should be inComputer Science, Machine Learning, Mathematics, Statistics, Physics,Engineeringor a related field.or a relatedfield ora related field.

-Expected to continue enrollment in degree program following completion of the internship.

  • Strong experience with Python,PyTorch, production-grade software engineering practices, and common AI/ML libraries

  • Experience with large language models, model training, fine-tuning, evaluation, inference, and optimization

  • Strong understanding of data pipelines, model experimentation, and scalable AI system design

  • Strong communicationskills, with the ability to explain complex research and engineering concepts to cross-functional partners

Preferred Qualifications

  • Experience designing scalable data curation methods and building reliable infrastructure for large-scale model training, evaluation, inference, and deployment

  • Experience deploying high-performance inference engines such asvLLM, NVIDIA Triton, orTorchServe, and working with cloud-native deployment, Docker, Kubernetes,MLOpspipelines, and major cloud platforms such as AWS, GCP, or Azure

  • Demonstrated history of publishing research in top-tier AI/ML conferences such asNeurIPS, ICML, ICLR, or ACL, or contributing to significant open-source AI projects

  • Experience designing and scaling agentic AI workflows, multi-agent frameworks, and autonomous AI systems

  • Familiarity with cybersecurity principles, AI systems for security-focused use cases, safety, and robust machine learning

Why Cisco?

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

  • 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

  • Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next

  • Additional paid time away may be requested to deal with critical or emergency issues for family members

  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;

  • 1% of incentive target for each 1% of attainment between 75% and 100%; and

  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$44,000.00 - $185,000.00

Non-Metro New York state & Washington state:

$44,000.00 - $185,000.00

* For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.


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About Cisco Systems

Sourced by ZipRecruiter

Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1984

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