NVIDIA Logo

NVIDIA

Senior Engineering Manager, Infrastructure Security Engineering - DGX Cloud

Posted 2 Hours Ago
Be an Early Applicant
Remote
5 Locations
248K-391K Annually
Senior level
Remote
5 Locations
248K-391K Annually
Senior level
Leads a distributed team securing NVIDIA DGX Cloud’s large-scale GPU infrastructure. Responsibilities include hiring and developing engineers, setting strategy for security control planes and foundational services, delivering measurable risk reduction, maintaining engineering standards, communicating security risks to executives, and collaborating with platform, SRE, networking, and security teams. The role requires strong engineering management, infrastructure or security expertise, cloud-native fluency, and influence across partner organizations.
The summary above was generated by AI

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 (7+ years) managing engineers, within a broader career (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?

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 4, 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.

Similar Jobs

11 Minutes Ago
Remote
US
Senior level
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Design and develop scalable cloud-based backend architectures for PSA’s consumer-facing Set Registry platform. Own features through architecture, implementation, testing, deployment, and production release. Build APIs for web and mobile applications, improve databases and existing applications, troubleshoot complex systems, and collaborate with product and engineering teams. Contribute to technical design reviews, documentation, monitoring, security practices, and automated testing.
Top Skills: Amazon Api GatewayAmazon EcsAmazon EventbridgeAmazon SnsAmazon SqsAws CdkAws CloudformationAws LambdaBatch ProcessingDockerDynamoDBEvent-Driven ArchitecturesKubernetesMicroservicesPostgresPythonRest ApisTerraform
13 Minutes Ago
Remote or Hybrid
United States
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop autonomy evaluation metrics, statistical and machine-learning analyses, dashboards, and pipelines for simulation and on-road autonomous vehicle testing. Analyze perception, prediction, and planning performance; identify anomalous behavior and critical scenarios; apply VLMs and LLMs where appropriate; and support release gating and safety decisions. The role requires production Python, C++ debugging, technical leadership, cross-functional collaboration, and rigorous software engineering practices.
Top Skills: C++Computational GeometryLarge Language ModelsLinear AlgebraMachine LearningNumpyPandasPythonPyTorchRosScipySQLStatistical ModelingTime-Series AnalysisVision-Language Models
14 Minutes Ago
Remote or Hybrid
United States
76K-114K Annually
Senior level
76K-114K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads dealers across Central and Southern Alberta to achieve retail sales, market share, vehicle ordering, customer satisfaction, and accessory, service, OnStar, and leasing revenue goals. Develops district and dealer action plans, analyzes sales and market data, improves dealership performance, resolves customer issues, supports digital retail innovation, and builds dealer relationships. Requires frequent travel, independent work, cross-functional collaboration, and occasional extended hours.
Top Skills: Field Sales ToolsGm FinancialOem Distribution ProcessesOnstarSales Reporting Systems

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account