Senior Infrastructure Security Engineer – EDA Clusters

Posted 3 Days Ago
5 Locations
Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Build and operate security controls, telemetry, detections, and enforcement for NVIDIA’s large-scale EDA compute, storage, and networking infrastructure across on-premises and multi-cloud environments. Investigate threats, respond to incidents, automate secure configurations and compliance evidence, threat-model infrastructure, and manage security technology lifecycles. The role requires hands-on Linux, networking, programming, infrastructure security, and collaboration with infrastructure and security teams.
Summary Generated by Built In

Securing NVIDIA's EDA clusters is not a matter of deploying a standard security stack. The workloads are too large, too long-running, and too performance-sensitive for an off-the-shelf playbook to simply apply. That constraint is the job. You'll be an individual contributor on Infrastructure Security Engineering for EDA Clusters, the team that implements security controls across the compute, storage, and networking that NVIDIA's hardware engineers design silicon on - spanning on-prem data centers and multi-cloud. You will sit alongside the engineers who run these clusters 24x7, close enough to deploy a control, investigate a behavior, and change the running environment yourself.


This is hands-on build work, not control review. You'll decide where conventional tooling applies, where it actively cannot, and then engineer the alternative. If your depth is in large-scale compute, networking, or storage infrastructure at a hyperscaler, a security product company, or anywhere fleets and fabrics are the day job, and you've carried real accountability for the security properties of those systems, you're who we want to talk to. We don't expect fluency in every security product category. We expect you to own outcomes and pick up the remaining domain breadth fast. Security engineering here is engineering: code, instrumentation, and secure-by-default infrastructure - not tickets, exceptions, and spreadsheets.


What You'll Be Doing:

  • Build and operate security controls and telemetry for EDA compute, storage, and networking - design, ship to production, then own them.
  • Engineer around hard constraints. Protect multi-day, high-value compute jobs without degrading them. Where heavyweight in-node agents are not viable, build the workable answer instead.
  • Make the network and platform the control plane. Protection can't depend solely on what runs inside the node.
  • Instrument for detection. Collect and normalize security signals from the fleet into our SIEM, and build the detections and dashboards that turn it into something actionable. Log collection alone is not monitoring.
  • Investigate and respond. Chase down EDA-specific threats and exposure, and execute containment and remediation hands-on with infrastructure and service owners.
  • Automate enforcement and evidence. Infrastructure-as-code and policy-as-code so secure configuration is the default state, with compliance evidence produced as an engineering output rather than a manual exercise.
  • Run the lifecycle of the security technologies you own: selection, rollout, operation, and eventual replacement.
  • Work across boundaries. Partner directly with data center operations, IT storage and networking, network engineering, CSP teams, and NVIDIA's central security organization on shared outcomes.
  • Think like an adversary. Threat modeling and mitigation planning across network, storage, and compute.

What We Need To See:

  • 8+ years of hands-on infrastructure or infrastructure-security engineering across on-prem and cloud environments.
  • Strong Linux depth - you are comfortable at the system level, not just the console level.
  • Real experience operating or securing compute fleets at scale: provisioning, lifecycle, and the operational realities of long-running jobs.
  • Working networking expertise applied to large compute environments.
  • Programming/scripting fluency (Python, Go, or shell) used for automation, detection, and tooling you've shipped and maintained.
  • Solid foundations in access control, authentication, segmentation, encryption, and vulnerability lifecycle.
  • A track record of landing changes with partners who don't report to you.
  • Clear written and verbal communication - credible with individual engineers and with leadership.
  • A Bachelor's degree in a relevant engineering field or equivalent experience.

Ways To Stand Out from the Crowd:

  • Security or platform engineering inside EDA, HPC, or large research-cluster environments.
  • Breadth across security domains - IAM, EDR/XDR, CNAPP, CSPM, zero-trust architectures - or a demonstrated pattern of picking up new domains fast.
  • Built or operated infrastructure security capabilities at a hyperscaler or a security product company - you engineered detection and enforcement systems rather than deploying someone else's.
  • Experience with kernel- and fabric-level observability and enforcement - eBPF, in-line and out-of-band inspection, DPU/SmartNIC offload - as an alternative to heavyweight in-node agents.
  • Contributions to open-source security or infrastructure tooling.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to outstanding growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 24, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • 8+ years of hands-on infrastructure or infrastructure-security engineering experience across on-premises and cloud environments
  • Strong Linux systems experience
  • Experience operating or securing compute fleets at scale, including provisioning and lifecycle management
  • Working networking expertise applied to large-scale compute environments
  • Programming or scripting proficiency in Python, Go, or shell for automation, detection, and tooling
  • Experience with access control, authentication, segmentation, encryption, and vulnerability lifecycle management
  • Track record of implementing changes with cross-functional partners
  • Clear written and verbal communication skills
  • Bachelor’s degree in a relevant engineering field or equivalent experience
  • Security or platform engineering experience in EDA, HPC, or large research-cluster environments
  • Experience across IAM, EDR/XDR, CNAPP, CSPM, or zero-trust architectures
  • Experience engineering detection and enforcement systems at a hyperscaler or security product company
  • Experience with kernel- and fabric-level observability and enforcement, including eBPF, in-line or out-of-band inspection, or DPU/SmartNIC offload
  • Contributions to open-source security or infrastructure tooling

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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