Six Figure Work

Senior AI Engineer

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $224,000  to $356,500

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

Join the AI & Automation Supply Chain Business Transformations team in NVIDIA Operations to develop the future of agentic AI at scale. As the Senior AI Engineer in Operations, you implement our vision for codifying our decision logics and implement decision intelligence ensuring the AI Agents delivers value that are trusted, scalable, and innovative. This is a rare opportunity to define the AI agents for Supply Chain Operations inside one of the world’s most advanced AI companies. If you thrive at the intersection of AI innovation, and Supply Chain transformation, join us and make your mark on the future of agentic AI.

What you will be doing:

  • Develop and own enterprise-grade Agentic AI systems for Supply Chain use cases, including multi-agent architectures, orchestration frameworks, RAG pipelines, deployment, monitoring, and full lifecycle management.

  • Capture design requirements, translate requirements into user stories, perform technical design, drive end to end integration testing, support data set up and issue remediation during UAT, manage development team activities, develop Hypercare support model

  • Be hands on in development and implement enterprise grade Agentic AI Supply Chain solutions

  • Partner with Enterprise IT engineering, product, and research teams while using  LLMs, agentic frameworks, and NVIDIA’s own NeMo and AIQ technologies.

  • Ensure integration with enterprise IT and Operations data sources and Industry’s best Agentic platforms with strong content security focus.

  • Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.

  • Lead technical design reviews, develop technical design documentation, and follow principles of code development.

  • Define agent autonomy boundaries, human-in-the-loop workflows, and escalation strategies for enterprise supply chain use cases.

  • Design and implement agent observability and evaluation frameworks (latency, accuracy, cost, failure modes, and hallucination analysis).

What we need to see:

  • Bachelor’s degree in Computer Science or related field (or equivalent experience) and 12+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering.

  • Strong hands-on expertise in Python for building production-grade AI systems, with experience in SQL, JSON, and backend service development (Java a plus)

  • Must have been at least 2+ years as Palantir AI Foundry and AIP platform Forward Deployment Engineer

  • Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks.

  • Experience working with LLMs, RAG architectures, and agent orchestration frameworks such as ReAct patterns, LangChain-based systems, and AutoGPT-style workflows.

  • Hands-on experience with vector databases, embeddings, and retrieval optimization, including indexing strategies, similarity search tuning, and relevance evaluation for production systems.

  • Experience designing multi-agent communication and coordination patterns (planner/executor/critic, supervisor agents, etc.).

  • Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services.

  • Strong technical solution design, analytical skills, and the ability to perform technical and business process modeling

  • Excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships as well as the ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.

Ways to stand out from the crowd:

  • Hands-on experience with containerized deployments, Kubernetes, and hybrid cloud/on-prem environments.

  • Prototyping skills in Python with ability to build proof-of-concept agent workflows.

  • Experience with NVIDIA AI technologies such as NeMo, Guardrails, AIQ, or GPU-optimized inference stacks.

  • Track record of publishing technical papers, architecture patterns, or thought leadership in AI systems.

  • Knowledge of observability tools, telemetry dashboards, and evaluation frameworks for AI agent performance as well as experience solving real-world problems with AI in supply chain domain.

NVIDIA is widely considered to be one of the technology world’s most desirable 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 inspired to shape the agentic AI at scale for NVIDIA’s Supply Chain Operations, 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 224,000 USD – 356,500 USD.

You will also be eligible for equity and 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.

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($224,000) is above 72% of the 1,503 Data & ML roles in California listed on this site; 16 others list the same floor. Their median floor is $187,000; the middle half runs from $158,941 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior AI Engineer (this listing)$224,000 - $356,500
Senior Full-Stack Lead Engineer$224,000 - $356,500
Senior Developer Relations Manager, Data Platforms$224,000 - $431,250
Senior Developer Relations Lead, AI-Enabled Drug Discovery Science$224,000 - $431,250
Manager, Solutions Architecture - AI Infrastructure Build Readiness$224,000 - $356,500
Senior Research Engineer - AI Coding Tools$224,000 - $431,250
Senior Retail Developer Relations Manager, Digital Commerce$224,000 - $431,250

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara

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 224,000 USD – 356,500 USD.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.