Senior Infrastructure Security Engineer
NVIDIA
Senior Infrastructure Security Engineer
NVIDIA
Designs the chips and software that power AI
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:
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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 other objective job-related factors. The expected base salary ranges for this position are:You will also be eligible for equity and benefits.
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.NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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