채용
Benefits & Perks
•Top Tier compensation with equity
•Health, dental, and vision coverage
•Remote work flexibility
•Learning and development stipend
•Flexible PTO policy
•Annual team offsites
Required Skills
SQL
PyTorch
TensorFlow
Join the AI & Automation Supply Chain Business Transformations team in NVIDIA Operations to architect the future of agentic AI at scale. We Implement AI agents to transform employee productivity and accelerate business impact. As the senior systems architect in Operations, you implement our vision for codifying our decision logics, decision intelligence, AI agent design, build and deployment, integration, security, and lifecycle management, 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:
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Capture business requirements, translate requirements into functional design, user stories, 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
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Define and architect AI agents for Supply Chain use cases, using the right frameworks, multi-agent coordination, RAG, deployment, monitoring, and life cycle management.
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Be hands on in quick proof of concepts development to demonstrate technical feasibility and implement enterprise grade Agentic Supply Chain solutions
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Partner with Enterprise IT engineering, product, and research teams while evaluating LLMs, agentic frameworks, and NVIDIA’s own Ne Mo technologies.
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Ensure integration with enterprise IT and Operations data sources and Industry’s best Agentic platforms with strong content security focus.
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Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.
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Lead design reviews, develop technical documentation, and guide developers in principles of architecture and code development.
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Champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable AI agents.
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Influence Supply Chain Operations adoption of the platform by partnering with stakeholders across IT, supply chain and serve as a reference adopter providing feedback to strengthen NVIDIA’s ecosystem.
What we need to see:
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Bachelor’s or Master’s degree in Computer Science or related field (or equivalent experience)
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8+ years of demonstrable experience in solutions design
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Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks.
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Familiarity with large language models, RAG pipelines, orchestration frameworks (e.g., Re Act, Lang Chain, AutoGPT-like flows).
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Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services.
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Technical solution design, Analytical skills, Technical and business process modeling
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Excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships.
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Ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.
Ways to stand out from the crowd:
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Hands-on experience with containerized deployments, Kubernetes, and hybrid cloud/on-prem environments.
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Prototyping skills in Python with ability to build proof-of-concept agent workflows.
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Experience with NVIDIA AI technologies such as Ne Mo, Ne Mo Guardrails, AIQ, or GPU-optimized inference stacks.
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Track record of publishing technical papers, architecture patterns, or thought leadership in AI systems.
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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!
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
L3
L4
L5
L3 · Data Scientist IC2
0 reports
$177,542
total / year
Base
-
Stock
-
Bonus
-
$150,910
$204,174
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago