Full-Time

Staff Security Engineer

Data Science Platform

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$184k - $356.5kAnnually

+ Equity

Senior, Expert

Company Historically Provides H1B Sponsorship

Austin, TX, USA + 1 more

More locations: Santa Clara, CA, USA

Category
Cybersecurity
IT & Security
Data & Analytics
Required Skills
Kubernetes
Microsoft Azure
Python
Grafana
Data Science
AWS
Prometheus
Terraform
Google Cloud Platform

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • A Master's or Ph.D. in Computer Science or a related field, or equivalent experience.
  • 8+ years of hands-on experience in designing and building security controls to support large-scale, fault-tolerant distributed services.
  • Strong experience with cloud infrastructure platforms like AWS, Azure, or Google Cloud.
  • Expertise in Cloud Security, Kubernetes security, application security, and performing security code reviews.
  • Familiarity with Infrastructure as Code and Configuration Management tools like Terraform.
  • Proficiency in scripting languages such as Python.
  • Proficiency in various monitoring tools such as Prometheus, Grafana, Cloudwatch etc.
Responsibilities
  • Engage actively with product engineering teams to conduct detailed security reviews of new services and features being developed.
  • Utilize threat modeling techniques to identify potential security risks and vulnerabilities.
  • Design security controls to mitigate all identified risks.
  • Collaborate with product engineering teams to ensure successful implementation of the identified security controls.
  • Assess security issues flagged by diverse scanning tools and guide product engineering teams on the identified risks and the mitigation plan.
  • Perform code reviews to identify security issues and work with engineers to address these issues.
  • Design and implement cloud security controls to secure the cloud infrastructure, Kubernetes cluster, and services that run on it.
  • Monitor the infrastructure and services to alert on security events.
  • Develop tooling to automate the remediation of security events.
  • Collaborate between multiple business units, vendors, and engineer teams on security and compliance certifications such as PCI, SOC2, etc.
Desired Qualifications
  • You're always looking for ways to improve the security of existing systems and processes.
  • Have a deep understanding of the latest technologies and trends in cloud security and distributed systems.
  • Committed to personal and professional growth. You're always seeking opportunities to learn new skills and deepen your expertise.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to a wide range of clients, from gamers to enterprises.

Company Size

10,001+

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
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