NVIDIA DGX Cloud is the AI supercomputing-as-a-service substrate designed to power the next generation of AI and industrial-scale breakthroughs. As an Engineering Manager within our Infrastructure Security Engineering organization, you will enable the engineers who secure a GPU fleet numbering in the hundreds of thousands. Your team does not write reports about risk. It engineers whole classes of risk out of existence, and delivers the result as paved roads the rest of DGX Cloud will happily take.
What You Will Be Doing:
Grow the Team: Manage, coach, and develop a distributed team of senior security and infrastructure engineers. You own hiring, growth, and performance, and you build a bench deep enough that our capability never rests on one person. Heroics signal a system that needs fixing, so you protect sustainable pace.
Set Technical Direction: Partner with your engineers on the roadmap for our security control plane, our foundational security services, and the path toward autonomous security operations. Leadership owns the mission and the strategy; the team owns the execution.
Deliver Outcomes, Not Tickets: Run a lightweight planning rhythm where the team commits to a result and the reason it matters, then reflects openly on what to change next. We are measured by the risks we eliminate, not the tickets we close.
Assemble Teams Around the Work: Staff each effort with the smallest group who can deliver it, and a clear owner accountable for landing it. Teams form around the work and dissolve when it's done. Make that motion fast, fair, and a real growth opportunity.
Raise the Engineering Bar: Hold a high standard for what "done" means: tested code, observability, operational readiness, and documentation someone who didn't build the system can operate from. AI-assisted work ships with real human ownership behind it.
Communicate Risk Upward: Translate a complex, fast-moving risk picture into something executives can act on. Declare the unknowns honestly, turn risk assessment into measurable themes, and make trade-offs legible to the people funding them.
Multi-Functional Collaboration: Build the partnerships that make the work land. We operate horizontally across vertically organized teams, with influence rather than authority. Your credibility with DGX Cloud platform, SRE, networking, and broader NVIDIA security partners is a delivery mechanism, not a nicety.
What We Need to See:
We are looking for high-caliber engineering leaders with deep spikes of expertise in a few of these areas and the intellectual curiosity to dive into the rest. If your experience aligns with the core of this role—building and growing teams that engineer risk out of existence—and you can show us how, we want to hear from you!
Engineering Management: Experience (typically 7+ years) managing engineers, within a broader career (typically 14+ years) across software engineering, SRE, infrastructure, or security. You have grown people, not only shipped projects.
Technical Credibility: Enough hands-on depth in infrastructure, distributed systems, or security engineering to earn the trust of senior engineers. You can review a design honestly and recognize when an estimate doesn't add up. You don't need to be the best engineer in the room; you need to build the room.
Hiring and Developing Talent: A history of attracting, hiring, and growing excellent engineers, including people far more expert than you in their domain. You build interview and calibration practices that make hiring repeatable and fair.
Delivery Under Ambiguity: You can take a high-stakes, loosely defined mandate and turn it into sequenced, measurable delivery. You are comfortable proving a model on a few systems first, then using that success to expand.
Cloud-Native and Security Fluency: Working understanding of cloud-native architecture, container orchestration (Kubernetes), identity and access, policy enforcement, and vulnerability management—enough to build it and ask the questions that matter.
Influence Without Authority: Experience delivering through partner teams you do not own, in environments where relationships, not org charts, determine whether the work ships.
Foundation: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
Ways To Stand Out from the Crowd:
HPC/AI Infrastructure: Experience running teams that secure or operate high-performance computing environments, large GPU fleets, or multi-tenant platforms at cloud scale.
Security as an Internal Product: You have delivered security or infrastructure capabilities with real adoption metrics, where teams took the paved road because it was the easiest path.
Building a Function from Scratch: Experience standing up a team, a practice, or an engineering culture where none existed—charter, agreements, rituals, and all.
Scaling Without Dilution: A history of growing a team quickly while the bar went up rather than down. How have you scaled a team and raised the standard at the same time?
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Skills Required
- Typically 7+ years of experience managing engineers
- Typically 14+ years of experience across software engineering, site reliability engineering, infrastructure, or security
- Technical depth in infrastructure, distributed systems, or security engineering
- Experience hiring, attracting, and developing excellent engineers
- Experience delivering high-stakes, ambiguous initiatives into sequenced and measurable outcomes
- Working understanding of cloud-native architecture, Kubernetes, identity and access, policy enforcement, and vulnerability management
- Experience delivering through partner teams without direct authority
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience
- Experience securing or operating HPC environments, large GPU fleets, or multi-tenant platforms at cloud scale
- Experience delivering security or infrastructure capabilities as internal products with adoption metrics
- Experience building a team, practice, or engineering culture from scratch
- Experience scaling teams while raising engineering standards
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.
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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.
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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.
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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.
NVIDIA Insights
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.”
