2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Advise customers and partners on complex workloads and map them to NVIDIA’s technology stack.
- Co-design scalable architectures, technical direction, integrations, and deployment plans.
- Lead technical engagements for agentic AI workloads from architecture review through production hardening.
- Design and support secure agentic AI infrastructure using sandboxing, policy enforcement, credential management, and network isolation.
- Build and demonstrate secure, scalable agentic AI reference architectures on Kubernetes.
- Collaborate with engineering and product teams to support successful deployments and continuous improvement.
- Resolve sophisticated technical issues and advocate for customer and partner technical needs.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 8+ years of professional experience across software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.
- 3–5+ years of direct, hands-on experience in AI security.
- Deep expertise in agentic AI and security, with experience driving product integrations and contributing to software or hardware platforms, systems, and libraries.
- Ability to communicate complex technical ideas to technical and non-technical audiences, including C-level executives.
- Grounding in enterprise security fundamentals including identity, authorization, network security, secrets management, and threat modeling.
- Preferred experience with secure networking, including mTLS, PKI, service mesh, and egress proxy patterns.
- Preferred background in formal methods, policy verification, or OCSF and structured security-event frameworks.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and other objective job-related factors, with stated ranges for Level 4 and Level 5.
- Applications will be accepted at least until November 14, 2026.
Tech Stack
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.