NVIDIA’s Enterprise AI & Automation team seeks a Principal or Distinguished Engineer to architect and build enterprise-grade agentic AI systems using Python and/or Go, focusing on Kubernetes deployment, agent runtimes, memory systems, orchestration, and evaluation pipelines. This role involves defining the architecture through practical implementations and reference systems, developing multi-agent orchestration patterns with frameworks like LangChain, and embedding security features directly into agent runtimes. The ideal candidate has over 15 years of experience in large-scale distributed systems, expertise in Kubernetes and GPU-based inference systems, and a track record of transitioning ideas to robust solutions. They must also have deep knowledge of telemetry, benchmarking, and observability systems, as well as experience with enterprise vector databases and agentic search platforms.
Develop production-quality agentic AI systems using Python or Go, covering Kubernetes deployment and agent runtimes.
Define and advance NVIDIA’s Enterprise Agentic AI architecture through practical implementations and reference systems.
Build multi-agent orchestration patterns with strong regression coverage and observability in frameworks like LangChain.
Run fast POCs on emerging agent architectures and harden successful patterns into reusable platform services.
Architect data flywheels for continuous improvement of agent quality through telemetry, benchmarking, and feedback loops.
What we're looking for
Extensive experience (15+ years) in building large-scale distributed systems with hands-on coding in Python and/or Go.
Proven ability to rapidly prototype and scale agentic AI systems from concept to production.
Expertise in Kubernetes, containerized workloads, networking, APIs, and secure enterprise integration patterns.
Comprehensive knowledge of performance tuning in hybrid environments, including GPU-based inference systems.
Experience crafting benchmarking, regression testing, telemetry, and observability systems for agent quality measurement.
Strong collaboration skills with the ability to influence cross-functional teams and communicate complex architectural concepts effectively.
Market check
Salary context
This
$272,000–$431,250
range sits above
98%
of similar postings on FindRole.
Peer median band
$172,100–$259,425
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$175,350–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.