채용
NVIDIA is the Accelerating Computing Platform and infrastructure leading the AI revolution. Are you excited to compose the future of AI and join a team that is redefining computing? NVIDIA is advancing AI through our accelerated computing and infrastructure platform. We are looking for a dynamic, hands-on Director to define and build the Retail & CPG Industries product platform in Santa Clara, CA. This role presents a rare opportunity to demonstrate NVIDIA’s powerful technology to develop a platform that will reshape digital commerce, supply chains, and intelligent stores. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We’re looking for a technical, hands-on Product Leader to define the architecture of the Retail and Consumer Packaged Goods Platform and collaborate with engineering to package the platform. Familiarity with GPU acceleration libraries, experience in Retail, CPG, logistics, or marketplaces, and knowledge of enterprise AI architectures will make you an ideal fit. Join us and take the lead in building the retail platform and help us develop the future of AI in retail! Your mission is to leverage NVIDIA’s existing retail and supply chain blueprints, along with proven workflows and best practices codified through customers and ISV engagements, to define the architecture of the Retail & CPG platform. Built on NVIDIA’s full stack—including Agentic AI, Physical AI, and accelerated computing—this platform will power our three strategic pillars: digital commerce, supply chain, and intelligent stores. It will enable customers and partners to build and deploy agentic solutions faster at scale. This role will promote the platform and collaborate with NVIDIA engineering team to build the platform. You will work with Retail & CPG product management, Business Development and Developer Relations to harness their deep expertise in supply chain and retail, to architect a platform that makes it easier and faster for our ecosystem and customers to build AI solutions. The platform will use our NVIDIA Nemo microservices and Nemotron open-source models, with initial priority on Agentic AI for supply chain, digital commerce and employee productivity.
What you'll be doing:
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Define product, technical vision and architecture.
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Develop platform strategy across supply chain, stores, and e-commerce
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Architect and build systems hands-on, using existing blueprints Retail and Agentic Commerce, and supply chain blueprints, as well as other key components of NVIDIA Retail used for hyper-personalization, new formulation discovery with NVIDIA ALCHEMI and Cu Opt supply chain optimization solvers.
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Create reusable reference architectures for industry adoption. Define the product, technical vision, and architecture for the Retail & CPG platform using NVIDIA’s existing blueprints and workflows.
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Use NVIDIA technologies like Ne Mo, NIM, RAPIDS, and cu Opt to contribute code, debug systems, and make key technical decisions.
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Deliver a production-ready platform together with NVIDIA engineering, focusing on latency, throughput, and cost efficiency.
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Ensure system reliability through monitoring, evaluation, and fallback strategies.
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Work together with Solution engineers and developer relations engineers to present the platform to ISVs, GSIs, and customers.
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Contribute to technical thought leadership and engage with the industry.
What we need to see:
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15+ overall years of sales or business development experience in Biopharma technology with proven track record running an overlay sales organization.
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7+ years of team management experience.
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Builder mentality with proven track record to write code and ship systems.
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Expertise in AI systems, including experience with LLMs, RAG, and agent-based systems.
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Strong understanding of data pipelines, embeddings, and systems architecture.
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Experience with distributed systems, APIs, and microservices.
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Ability to build real-time or near-real-time systems and complete work in small teams.
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Shown success in lean, high-velocity environments, collaborating with engineering.
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Bachelor’s degree or equivalent experience; an MBA or Masters degree is highly desirable.
Ways to stand out from the crowd:
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Familiarity with GPU acceleration libraries(CUDA, Triton, TensorRT).
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Background in Retail, CPG, logistics, or marketplaces is a plus, but not required.
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Experience working with enterprise AI architectures.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD for Level 5, and 340,000 USD - 517,500 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 2, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
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NVIDIA 소개

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
직원 수
Santa Clara
본사 위치
$4.57T
기업 가치
리뷰
4.1
10개 리뷰
워라밸
3.5
보상
4.2
문화
4.3
커리어
4.5
경영진
4.0
75%
친구에게 추천
장점
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
단점
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
연봉 정보
47개 데이터
L3
L4
L5
L6
L7
L3 · Product Manager IC2
0개 리포트
$183,722
총 연봉
기본급
-
주식
-
보너스
-
$156,163
$211,281
면접 경험
7개 면접
난이도
3.1
/ 5
경험
긍정 0%
보통 86%
부정 14%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
자주 나오는 질문
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
뉴스 & 버즈
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.
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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.
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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.
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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.
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