Senior Staff Software Engineer, Enterprise AI Platform

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$200,000–$322,000 / yr
Posted
8 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $261k
$131k most similar roles pay here $342k

This role pays more than 89% of similar roles. Most pay $151,475–$236,503 — the shaded band above. At the midpoint, this role pays about $261k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 899 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 886 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Staff Software Engineer, Enterprise AI Platform

As a Senior Staff Software Engineer - Enterprise AI Platform, you will join the team building a platform for long-running autonomous agents to operate safely within an enterprise environment. You will design and build core components including agent blueprints, runtime safety harnesses with policy engines, credential brokering, and multi-agent orchestration systems. Your daily work involves developing tools for authorization, sandboxing, memory, and observability while ensuring seamless integration across various execution models like Claude or Codex. The role requires expertise in distributed systems, infrastructure, and developer platforms at scale. You will utilize Python, Go, or Rust to build features such as circuit breakers, action allow-lists, and automated evaluation loops. This position solves the technical challenges of managing autonomous agent fleets that require continuous operation, secure credential management, and self-improving capabilities across complex enterprise systems.

What does a Software Engineer earn in California?

Median $214000 from 778 postings across 63 companies.

See salary data

What you'll do

  • Design agent blueprints with standardized interfaces for authorization, sandbox, memory, and observability.
  • Build a runtime safety harness including policy engines, rate limits, circuit breakers, and kill switches.
  • Develop multi-agent orchestration systems to support delegation, handoffs, and long-running autonomous operations.
  • Implement secure credential brokering to manage authentication and least-privilege scoping for multi-agent systems.
  • Create checkpointing and recovery mechanisms to ensure agents resume correctly after crashes or restarts.
  • Instrument comprehensive observability tools including decision-level traces, cost alerts, and quality scoring.
  • Build automated feedback loops that allow agents to improve based on production telemetry and evaluation signals.
  • Maintain the reliability of the platform through active participation in an on-call rotation.

What we're looking for

  • BS or MS in Computer Science, Engineering, or a related field (or equivalent experience).
  • 12+ years of experience 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.
  • Proficiency in Python, Go, Rust, or similar programming languages.
  • Experience with the building blocks of scalable systems including messaging, caching, and durable storage.
  • Built a safety or policy engine that enforces rules on agent actions at runtime (preferred).
  • Designed evaluation and feedback loops for agent behavior tied to versioned skills or blueprints (preferred).

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