About the role
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 architecture expert with hands-on development experience to define the architecture of the Retail and Consumer Packaged Goods Platform and collaborate with engineering to build the platform. This is a technical engineering role and requires familiarity with NVIDIA’s GPU acceleration libraries, experience in Retail, CPG, logistics, or marketplaces, and knowledge of enterprise AI architectures will make you an ideal candidate. 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 and build the Retail & CPG platform.
You will be responsible for architecting and collaborating with engineering teams across NVIDIA, to build the 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.
What you'll be doing:
You will work with Retail & CPG product management, business development, and developer relations teams to harness deep expertise in supply chain and retail, to architect and build a platform that makes it easier for our ecosystem and customers to build AI solutions at scale. 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. Critical to this role is developer experience building AI agents and will collaborate with a strong technical retail and supply chain team, as well as horizontal engineering team(s).
Define product, technical vision, and architecture:
Develop platform strategy across supply chain, stores, and e-commerce
Architect and build systems hands-on, using existing Retail and Agentic Commerce, and supply chain blueprints, as well as other key components of NVIDIA platform for hyper-personalization, new formulation discovery with NVIDIA ALCHEMI and CuOpt supply chain optimization solvers.
Build a 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.
Use NVIDIA technologies like NeMo, NIM, RAPIDS, and cuOpt to write the code and create the platform with help from solution engineers on the team, and resources secured from engineering.
Deliver a production-ready platform together with NVIDIA engineering, focusing on latency, throughput, and cost efficiency.
Ensure system reliability through monitoring, evaluation, and fallback strategies.
Work together with Solution engineers and developer relations engineers to present the platform to ISVs, GSIs, and customers.
Contribute to technical thought leadership and engage with the industry.
What we need to see:
15+ years of dynamic work experience within high growth tech companies or building AI and agentic solutions for a major retailer.
7+ years of team management experience.
Builder mentality with proven track record to write code and ship systems. Having experience as a developer of AI agents is a must.
Developer expertise in AI systems, including experience with LLMs, RAG, and agent-based systems.
Strong understanding of data pipelines, embeddings, and systems architecture.
Experience with distributed systems, APIs, and microservices.
Shown success in lean, high-velocity environments, collaborating with engineering.
Bachelor's degree in computer science or electrical engineering (or equivalent experience). A master's degree in computer science is highly desirable.
Ways to stand out from the crowd:
Familiarity with GPU acceleration libraries(CUDA, Triton, TensorRT).
Background in Retail, CPG, logistics, or marketplaces is a plus, but not required.
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.
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.Skills & Tags
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.