18 days ago
Base Salary
$224k - $431k/yr
Responsibilities
- Design agent blueprints with interfaces for authorization, sandboxing, memory, observability, and skills.
- Build runtime safety controls including policy engines, rate and budget caps, circuit breakers, approval gates, action allow-lists, and kill switches.
- Enable declarative skills, multi-agent orchestration, delegation, handoff, and long-running autonomous agents.
- Broker credentials with least-privilege token scoping without exposing secrets to agents.
- Provide checkpoint and recovery capabilities for agent crashes and restarts.
- Build cross-harness tracing, cost anomaly detection, quality scoring, and evaluation feedback loops.
- Participate in an on-call rotation to keep the production platform healthy and reliable.
Requirements
- BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.
- 12+ years building distributed systems, infrastructure, or developer platforms at scale.
- Hands-on experience building agents on a harness, exposing them as APIs, and shipping them with CI/CD.
- Experience deploying and operating long-running services on container orchestration platforms.
- Experience with messaging, caching, and durable storage for scalable systems.
- Proficiency in Python, Go, Rust, or a similar language.
- Preferred experience building runtime safety or policy engines with approval gates and kill switches.
- Preferred experience designing agent evaluation and feedback loops, including self-improving systems based on evaluation and production signals.
- Preferred knowledge of threat modeling, authentication, authorization, least privilege, secrets management, and token exchange.
- Preferred experience designing AI data platform components such as ingestion pipelines, vector stores, and retrieval APIs.
- Preferred experience shipping platform building blocks adopted by multiple engineering teams and leading migrations or greenfield platform builds.
Benefits
- Eligible for equity and benefits.
- Participates in an on-call rotation.
- Applications accepted at least until October 11, 2026.
- This posting is for an existing vacancy.
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.