Senior Platform Engineer: Autonomous Agent Orchestration

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 200,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Gruppe is seeking a senior platform engineer to engineer agent blueprints, runtimes, and orchestration across enterprise deployments. You will craft scalable, secure primitives for authorization, sandboxing, memory, and observability, enabling long-running autonomous agents with safe execution and continuity.

You will design the safety harness, enable multi-agent orchestration, and ensure robust credential management, checkpointing, and instrumentation.

Qualifications

• BS or MS in Computer Science, Engineering, or 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 building blocks of scalable systems: messaging, caching, and durable storage
• Proficiency in Python, Go, Rust, or similar

Responsibilities

• Design agent blueprints with clean interfaces for authorization, sandbox, memory, observability, and skills, so a new agent inherits its enterprise integrations from the platform.
• Build the runtime safety harness: a policy engine that checks every action before it runs, rate and budget caps, circuit breakers, approval gates, action allow-lists, and a kill switch that works even when an agent goes rogue.
• Enable composing and orchestrating agents: skills as first-class units with declarative manifests, multi-agent orchestration for delegation and handoff, and support for headless, long-running, autonomous agents.
• Broker credentials so multi-agent systems can authenticate and authorize without ever touching secrets, with least-privilege scoping on every token.
• Provide checkpoint and recovery so an agent resumes cleanly after a crash or restart.
• Instrument observability and evaluation that span harnesses: decision-level traces with correlation IDs, what the agent saw and chose and why, cost anomaly alerts that catch looping, and quality scoring across skills, whole agents and products. Then close the loop: turn those signals into insights that make the agents better.

Skills

Distributed systems

Agent harness

CI/CD

Container orchestration

Python

Go

Rust

Security

Cloud

APIs

Education

BS or MS in Computer Science/Engineering or related field

Tools

Kubernetes

Docker

Terraform

CI/CD tooling

Job description

NVIDIA Gruppe is seeking a senior platform engineer to engineer agent blueprints, runtimes, and orchestration across enterprise deployments. You will craft scalable, secure primitives for authorization, sandboxing, memory, and observability, enabling long-running autonomous agents with safe execution and continuity.

You will design the safety harness, enable multi-agent orchestration, and ensure robust credential management, checkpointing, and instrumentation.