2 days ago
Santa Clara, CA, USAMid Level
H1B sponsor
Base Salary
$152k - $242k/yr
Responsibilities
- Support customer and partner technical engagements by analyzing workloads and identifying applicable NVIDIA technologies.
- Design and validate scalable architectures, integration plans, and deployment approaches.
- Build, test, and validate solutions for adopting and scaling NVIDIA technologies.
- Drive agentic AI technical engagements from initial architecture review through production hardening.
- Own the security and infrastructure narrative for agentic AI deployments, including sandboxing, policy enforcement, credential management, and network isolation.
- Build and demonstrate secure, scalable agentic AI reference architectures on Kubernetes.
- Document customer and partner needs and communicate technical feedback to internal product and engineering teams.
- Collaborate with engineering and product teams to support successful customer deployments.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- At least 3 years of professional experience in software or hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field.
- Hands-on exposure to AI safety and security and foundational technical knowledge of agentic AI.
- Production experience designing, deploying, or operating agentic AI systems, including agent frameworks, tool use, evaluation, and observability patterns.
- Ability to communicate technical concepts clearly to technical and non-technical audiences.
- Strong problem-solving skills, intellectual curiosity, and interest in helping customers and partners succeed.
- Ability to build relationships with customers and partners and develop technical credibility for complex product decisions.
- Preferred experience with Linux security primitives such as namespaces, seccomp, and Landlock; policy-as-code systems such as OPA/Rego, Cedar, and Sentinel; and Rust production code.
Benefits
- Eligible for equity and benefits.
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.