Secure Development Platform Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience)
3+ years of experience in software engineering or platform security, ideally supporting developer productivity or automation tooling
Proficiency in Python and/or Go to build backend services and platform agents
Familiarity with GitHub, GitLab, or Jenkins-based CI/CD environments and secure coding practices
Experience building or integrating secret scanning, OSS vulnerability scanning (e.g., SCA tools), and code quality tooling
Understanding of container security fundamentals and cloud-native architectures (Docker, Kubernetes, AWS)
Ability to synthesize software risks into actionable remediations for developers and product teams
Strong written and verbal communication skills for collaborating with collaborators across engineering, security, and compliance

Responsibilities

Design and build agent-based security tooling to monitor and evaluate secure development practices across SDLC workflows
Develop backend services that ingest data from version control, CI/CD pipelines, SBOMs generation platforms, and container registries to surface security and compliance risks
Find risks in security, legal, and SDLC areas and direct to collaborators for timely resolution
Build and maintain OSS security automation pipelines that enable early detection and resolution of known vulnerabilities (e.g., CVEs)
Integrate with internal platforms for secret scanning, vulnerability analysis, and policy enforcement to deliver real-time contextual feedback to developers
Improve the precision of alerts and reduce noise through context-aware signal processing and risk-based prioritization; build clear, actionable checklists that help assess release readiness based on the release’s context and risk profile
Partner with DevSecOps, Legal, and Engineering teams to align OSS governance and enforce NVIDIA’s security guardrails
Contribute to the development of metrics, dashboards, and reports to drive adoption and track improvements in SDLC security posture

Skills

DevSecOps

CI/CD

SBOM

OSS Security

Secret Scanning

Vulnerability Analysis

Container Registries

Backend Services

Policy Enforcement

Agent Development

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

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 products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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