Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
AWS
Azure
Distributed Systems @ 6
GCP
GPU @ 4
Kubernetes @ 6
Leadership @ 7
Machine Learning
Networking
Oracle
Security @ 7
Technical Leadership
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is transforming computer graphics, PC gaming, accelerated computing, and AI through groundbreaking technology and outstanding people. The company is developing the future of computing across computers, robots, and self-driving cars.
Responsibilities
- Define and guide the complete security architecture for global cloud and datacenter infrastructure.
- Protect critical AI workloads against advanced adversaries.
- Architect robust security frameworks for public cloud infrastructure across AWS, Azure, GCP, and Oracle, as well as private GPU and AI environments.
- Implement network segmentation strategies using software-defined networking techniques for multi-tenant isolation.
- Facilitate the adoption of Confidential Computing and hardware-rooted trust models for high-sensitivity AI workloads.
- Develop layered encryption schemes to mitigate risks and support Zero Trust principles.
- Govern workload identity frameworks to eliminate static credentials and implement identity-based access controls.
- Direct security architecture for container and Kubernetes environments to maintain secure, scalable, multi-tenant clusters.
- Provide technical leadership and mentorship to security architects and engineers, driving architectural improvements across the organization.
Requirements
- 15+ years of experience in security engineering or architecture roles, including at least 8 years in senior leadership positions.
- Expertise in architecting security for both "Security of the Cloud" and "Security in the Cloud."
- Deep knowledge of cloud-native security architectures on major cloud platforms.
- Strong expertise in workload identity and Zero Trust access patterns.
- Demonstrated expertise protecting containerized and Kubernetes environments at scale.
- Ability to communicate complex security risks and architectural trade-offs to technical and management collaborators.
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
Preferred Qualifications
- Experience securing AI/ML infrastructure and GPU compute clusters against novel threats.
- Experience with hardware-rooted trust and secure provisioning pipelines.
- Expertise in post-quantum cryptography and applied cryptography in distributed systems.
Benefits
NVIDIA offers competitive salaries, equity, and a comprehensive benefits package. The company is committed to fostering an inclusive work environment and is an equal opportunity employer. Applications will be accepted at least until October 13, 2026.
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