24 hours ago
Base Salary
$168k - $322k/yr
Responsibilities
- Establish the long-term technical vision for AI automation and agentic workflows.
- Own software projects from architecture and implementation through deployment and ongoing improvement.
- Build agents and services that interpret requests, retrieve knowledge, diagnose issues, and complete approved actions across platform APIs and enterprise systems.
- Automate developer onboarding, provisioning, publishing assistance, and troubleshooting workflows.
- Engineer reliable execution with evaluation, testing, observability, retries, recovery, and human approval controls.
- Implement identity-aware authorization, credential protection, auditability, and data-access boundaries.
- Lead delivery across platform engineering, security, identity, and developer teams.
- Mentor engineers and guide architecture and code reviews.
- Measure workflow execution, reliability, developer adoption, request completion speed, and reduction in manual effort.
Requirements
- 10+ years of software engineering experience building and operating production services, APIs, and distributed systems.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.
- Demonstrated ownership of architecture and delivery for complex software projects with minimal mentorship.
- Proficiency in Python, Go, or another backend language, with strong testing, code review, CI/CD, and production debugging practices.
- Experience building LLM applications or agentic workflows, including tool integration, retrieval, evaluation, and failure handling.
- Experience building secure integrations involving enterprise identity, permissions, credentials, and sensitive data.
- Record of leading cross-team technical initiatives, communicating complex decisions, and mentoring engineers.
- Preferred experience delivering AI automation with measurable reductions in support effort or developer wait time.
- Preferred familiarity with artifact repositories, model registries, experiment tracking, software delivery workflows, ServiceNow, Jira, Artifactory, Hugging Face, CDN platforms, APIs, event-driven systems, or Model Context Protocol.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, employee pay comparisons, and level: $168,000–$270,250 for Level 4 or $200,000–$322,000 for Level 5.
- Applications accepted at least until October 18, 2026.
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.