1 day ago
Base Salary
$168k - $270k/yr
Responsibilities
- Develop shift-left security solutions that apply constraints, scaffolds, rules, and guardrails to AI-generated code during development.
- Convert written security standards into machine-enforceable formats for programming assistants and pipelines.
- Build verification workflows, evaluation harnesses, regression suites, reference repositories, and known-bad cases for non-deterministic code-generating systems.
- Create secure runnable reference implementations, including templates, Helm charts, container images, and worked examples.
- Productize AI solutions for enterprise use with versioning, observability, latency and cost controls, access control, audit, graceful failure, support, and deprecation models.
- Set architecture qualification standards for AI tooling in a security context and monitor adoption, outcomes, and residual-risk closure.
- Collaborate with teams building AI and automation solutions by reviewing implementations, sharing platforms, and improving engineering standards.
Requirements
- 8+ years of experience in security engineering, platform engineering, product security, infrastructure security, DevSecOps, developer experience engineering, or software engineering for large distributed systems.
- Expertise with AI coding agents, context and constraint injection, rules, scaffolds, plan-mode workflows, tool integrations, and specification-guided development.
- Experience building evaluation harnesses and regression suites for non-deterministic systems, including result verification, conformance measurement, and regression detection.
- Proficiency with Kubernetes, Helm, containerized environments, container image hardening, and secure identity, networking, and infrastructure primitives.
- Strong software engineering fundamentals in Python or Go, with experience in static analysis, code generation tooling, policy-as-code, schema validation, Git workflows, and automated publishing.
- Experience taking systems from prototype to enterprise production with reliability, versioning, observability, access control, documentation, and support models.
- Practical security architecture experience with threat modeling, control selection, isolation boundaries, workload identity, secrets handling, logging, audit, and machine-checkable specifications.
- Ability to operate as both an architect and engineer, explain trade-offs, influence without direct authority, and improve team capabilities.
- BS/MS in Computer Science, Engineering, or equivalent experience.
- Preferred experience includes generation-time agent constraints, attestation or provenance, AI tooling productization, internal developer platform programs, open-source or standards work, technical writing, conference talks, mentoring, or community participation.
Benefits
- Base salary range of 168,000 USD to 270,250 USD, determined by location, experience, and comparable employee pay.
- Eligible for equity and benefits.
- Position is based in Santa Clara, California.
- Applications accepted at least until October 20, 2026.
Tech Stack
Categories
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.