Jobs in the United States

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Added 4 mins ago
Member of Product Staff
Meta
Salt Lake City, UT
lead strategic technical decisions with engineering leadership.
Added 4 mins ago
Lead Director - Security Operations Center (SOC)
CVS Health
Salt Lake City, UT
The Lead Director - Security Operations Center (SOC) is responsible for leading the cybersecurity operations function for a rapidly evolving healthcare business, ensuring the organization…
Added 4 mins ago
Applied AI Health Data System Engineer-Senior Manager
PwC
Salt Lake City, UT
What You Must Have
Added 4 mins ago
EG
AI Automation Analyst
Eliassen Group
Salt Lake City, UT
- $70 to $75 USD / hour
…systems, leveraging Python, UI Path RPA, Workato, and GenAI to re-engineer workflows, reduce waste, and improve expert experiences. The engagement is a 12-month remote assignment working…
Added 15 mins ago
L
Principal Member of Technical Staff, ASIC Implementation Lead
Lumotive
Milpitas, CA
- $190,000 to $220,000 USD / year
Lumotive is seeking a Principal Lead ASIC Design Implementation Engineer to lead the design and implementation of our mixed-signal beam-steering ASIC controller. As a hands-on lead, you…
Added 16 mins ago
EG
AI Automation Analyst
Eliassen Group
Oklahoma City, OK
- $70 to $75 USD / hour
…systems, leveraging Python, UI Path RPA, Workato, and GenAI to re-engineer workflows, reduce waste, and improve expert experiences. The engagement is a 12-month remote assignment working…
Added 19 mins ago
Data Engineer - Remote
Mindex
Remote, United States
Convert Informatica pipelines to Maia (Matillion) and Snowflake using the Solution Lead’s factory-style patterns, and build reusable shared jobs, templates, and validation utilities.
Added 29 mins ago
Backend Application Engineer
Accenture
Washington, DC
A Backend Application Engineer who enjoys turning complex business and mission needs into dependable enterprise software. You build the services, APIs, business logic, data interactions,…
Added 30 mins ago
EG
AI Automation Analyst
Eliassen Group
Washington, DC
- $70 to $75 USD / hour
…systems, leveraging Python, UI Path RPA, Workato, and GenAI to re-engineer workflows, reduce waste, and improve expert experiences. The engagement is a 12-month remote assignment working…
Added 36 mins ago
Databricks Engineering Manager
Deloitte US
Austin, TX
As a Lead Data Engineer II on the AI & Data team, you will be responsible for:
Added 36 mins ago
Databricks Engineering Jr. Consultant
Deloitte US
Austin, TX
As a Data Engineer I on the AI & Data team, you will be responsible for:
Added 52 mins ago
Senior Staff Software Engineer, Fintech Invoicing & Payments
Intuit
MOUNTAIN VIEW, CA
Come join Intuit as a Senior Staff Software Engineer! We're constantly evolving to deliver on our mission to power prosperity around the world. As a Senior Staff Engineer, you'll lead…
Added 53 mins ago
Software Engineering Tech Lead, Platform Security
Google
Sunnyvale, CA
Share Software Engineering Tech Lead, Platform Security
Added 53 mins ago
Principal Engineer, AI Ecosystem
Google
Sunnyvale, CA
corporate_fare Google place Sunnyvale, CA, USA; Kirkland, WA, USA; +2 more; +1 more bar_chart DirectorShare Principal Engineer, AI Ecosystem
Added 53 mins ago
Lead Principal Engineer, Enterprise Agentic AI Platform
Nvidia
Santa Clara, CA
…world’s most advanced AI companies. NVIDIA’s Enterprise AI Platform drives production AI agents that securely link with enterprise systems to boost employee efficiency and accelerate…
Added 53 mins ago
Strategic Partnerships, Technical Program Manager
ServiceNow, Inc.
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 54 mins ago
Applied AI Health Data System Engineer-Senior Manager
PwC
Sacramento, CA · San Diego, CA · San Jose, CA · San Francisco, CA · Los Angeles, CA · Irvine, CA
What You Must Have
Added 54 mins ago
AI Engineer / Data Scientist, AI Director
PwC
San Jose, CA · San Francisco, CA · Los Angeles, CA
What You Must Have
Added 54 mins ago
Sr. Software Engineer - Big Data
LiveRamp
San Francisco, CA
Department: Platform and Identity Engineering
Added 54 mins ago
Tactical Networks Systems Engineer
BOOZ, ALLEN & HAMILTON, INC.
San Diego, CA
As a systems engineer on our team, you have the chance to design tactical networks to support the US Navy and other afloat commands. Your technical expertise will be vital as you modernize…
Added 54 mins ago
DevOps Platform Engineer
BOOZ, ALLEN & HAMILTON, INC.
San Diego, CA
Experience serving as a technical lead, principal engineer, lead systems engineer, solution architect, chief engineer support lead, or technical authority for a complex platform, product,…
Added 1 hour ago
TT
Lead AI Engineer
True Talent Solutions Partners
New York, NY
- $175,000 to $300,000 USD / year
On-site, five days per week in New York, NY.
Added 1 hour ago
WI
(USA) Staff, Software Engineer
Walmart Inc.
United States
- $110,000 to $220,000 USD / year
Our team builds Walmart's next-generation Agentic AI platform: backend services, APIs, agent tooling, and user experiences that bring Generative AI to associates at enterprise scale. We run…
Added 1 hour ago
Principal Machine Learning Engineer, Vision AI
Toast
Remote, United States
We're looking for a Principal Machine Learning Engineer, Vision AI to architect and build the platform behind these products. You'll have an outsized influence on how Vision AI is built and…
Added 2 hours ago
Customer Engineer III, Platform, Financial Services, Google Cloud
Google
Chicago, IL
Share Customer Engineer III, Platform, Financial Services, Google Cloud

Nvidia

Lead Principal Engineer, Enterprise Agentic AI Platform

Santa Clara, CA, United States

The expected base salary range for this position is 272,000 USD – 431,250 USD.

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Job details

Pay: The expected base salary range for this position is 272,000 USD – 431,250 USD.
Experience: 15+ years of experience building and shipping large-scale distributed systems with significant hands-on coding in Python, Go, or similar systems languages.
Posting language: English
Posted: Feb 26, 2026

Original job description

US, CA, Santa Clara

Full time

JR2013809

Join NVIDIA IT’s Enterprise AI & Automation team to develop and expand enterprise-grade agentic AI systems at one of the world’s most advanced AI companies. NVIDIA’s Enterprise AI Platform drives production AI agents that securely link with enterprise systems to boost employee efficiency and accelerate business results across engineering, IT, supply chain, finance, HR, and sales. We need a Principal or Distinguished Engineer–level architect who defines systems through direct construction. This role calls for a deeply involved technical leader writing code daily in Python and/or Go. They quickly develop prototypes using modern code-generation tools like Cursor, Claude Code, and Claude Cowork. The candidate must grasp infrastructure aspects from Kubernetes to GPU inference stacks and translate new agent development patterns into scalable platform capabilities. You will build NVIDIA’s enterprise agent architecture by delivering functional systems, developing reference implementations, and elevating the technical standards across the organization. This is not a strategy-only or governance-only role. Architecture authority is earned through production systems, measurable impact, and technical depth.

If you prosper in unclear environments, rapidly move from concepts to operational systems, and view the full agent development process - create, sandbox, launch, observe, control, and continuously enhance using data-driven cycles - this position lets you define enterprise-grade agentic AI at NVIDIA scale. You will invent systems that incorporate persistent memory, controlled runtime environments, strict assessment, and GPU-powered performance, ensuring agents are intelligent, trackable, protected, and production-ready from day one.

What You Will Be Doing:

Develop and deliver production-quality agentic AI systems from start to finish using Python and/or Go, covering Kubernetes deployment, agent runtimes, memory systems, orchestration, tool integration, and evaluation pipelines.
Define and advance NVIDIA’s Enterprise Agentic AI architecture through practical implementations, reference systems, and production deployments - not abstract diagrams.
Build and implement multi-agent orchestration patterns (planner, executor, reviewer, tool agents) using frameworks such as LangChain, LangGraph, or similar orchestration systems, with strong regression coverage and observability.
Run fast, high-quality POCs on emerging agent architectures; harden successful patterns into reusable platform services, APIs, SDKs, and developer templates.
Architect and implement data flywheels that continuously improve agent quality through telemetry, benchmarking, automated evaluation, and structured feedback loops.
Embed security, guardrails, sandbox isolation, auditability, and policy enforcement directly into agent runtimes in partnership with security and governance teams.
Evaluate, integrate, and extend open-source and third-party agent platforms; drive disciplined build-vs-use decisions based on performance, scalability, control, and long-term platform ownership.
Collaborate closely with engineering, infrastructure, product, and business collaborators to align architectural direction with enterprise priorities and accelerate adoption.

What We Need to See:

Bachelor’s degree in Computer Science or related field or equivalent experience; Master’s or PhD preferred.
15+ years of experience building and shipping large-scale distributed systems with significant hands-on coding in Python, Go, or similar systems languages.
Proven skill in quickly transitioning from an idea to a functional prototype and then to a robust, scalable platform solution.
Proven track record in constructing agentic AI systems, including RAG pipelines, long-lasting memory models, multi-agent management (e.g., LangChain, LangGraph), tool frameworks, and evaluation infrastructure.
Expert-level depth in Kubernetes, containerized workloads, networking, APIs, and secure enterprise integration patterns.
Experience crafting benchmarking, regression testing, telemetry, and observability systems that measure agent quality, latency, cost, reliability, and safety.
Comprehensive knowledge of performance tuning in hybrid environments, including GPU-based inference systems.
Excellent collaboration skills with the ability to influence cross-functional collaborators, build positive relationships, and clearly communicate complex architectural concepts to both technical and business audiences.

Ways to Stand Out from the Crowd:

Proven experience delivering reusable developer-acceleration components such as SDKs, APIs, templates, reference implementations, and CI/CD automation.
Experience integrating enterprise vector databases and retrieval systems, and working with agentic search and orchestration platforms such as Glean, Microsoft Copilot Studio, Google Agentspace, or similar enterprise AI ecosystems.
Experience embedding fine-grained policy enforcement, access controls, sandbox isolation, and audit trails directly into AI runtimes.
GPU-acceleration approach with experience optimizing model inference, batching strategies, memory utilization, and efficiency on NVIDIA hardware.
Evidence of meaningful open-source contributions, including core commits, maintainership, widely adopted libraries, or public technical artifacts demonstrating system-level depth.

NVIDIA is widely recognized as one of the technology world’s most sought-after employers. We have some of the most forward-thinking and creative people in the world working here. If you are driven by impact, passionate about enterprise AI, and encouraged to develop the blueprint of agentic AI at scale, we want to hear from you. Apply today!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA .

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More about this job

Skills

Supply chain management
Python
Go
Kubernetes
LangChain
Computer science
Collaboration
CI/CD

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Work requirements

Jobs in the United States