Business Development Manager, Metropolis

NVIDIA•Santa Clara, CA

6d•$104,000 - $218,500

About The Position

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. 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. As an engineering professional at NVIDIA, you will join a team that values innovation and collaboration. This opportunity offers a chance to work for an outstanding company leading in computer graphics and AI. NVIDIA is defining the future of computing through groundbreaking technology. Your role will be essential in driving the business development strategy for NVIDIA Metropolis. You will position it as the leading operational intelligence solution across industries.

Requirements

5+ years of experience in business development, enterprise sales, or strategic partnerships in high-tech.
You have a proven track record of driving adoption of complex AI, hardware/software, or platform solutions. You convert that adoption into measurable revenue growth.
Strong domain expertise in one or more target industries: manufacturing, industrial automation, supply chain & logistics, construction, mining, smart cities/spaces, or related operational technology sectors—you understand the workflows, difficulties, and buyer dynamics.
Demonstrated success building partner and customer ecosystems from the ground up. You know how to identify the right relationships and develop them with patience and precision. You can translate these into scalable commercial outcomes.
Proficient knowledge of AI and computer vision topics—video analytics, vision AI agents, Vision-Language Models (VLMs), visual inspection, and multi-camera systems—supports credible discussions with technical audiences and turns capabilities into persuasive arguments for operational leaders.
Outstanding communication and executive presence: you can confidently present a case to a C-suite audience, sketch a solution architecture with a solutions engineer, and discuss GTM strategy with a product leader.
Bachelor's degree or equivalent experience in Engineering, Computer Science, Business, or a related field.

Nice To Haves

MBA or advanced technical degree a plus.

Responsibilities

Own the end-to-end business development strategy and Build go-to-market plans for NVIDIA Metropolis across target verticals including manufacturing, supply chain, logistics, construction, mining, and smart spaces—translating scaling market opportunitiesearly traction and wins into into concrete pipeline and GPU consumption growth.
Identify and develop new business opportunities within our ecosystem - spanning ISVs, system integrators, OEMs, and enterprise end-customers; build and manage a robust pipeline that converts early-stage exploration into scaled, production Metropolis deployments.
Hands-on familiarity with NVIDIA Metropolis platform components, NVIDIA Video Search and Summarization (VSS), NIM microservices, DeepStream SDK, TAO Toolkit, Jetson edge platforms, IGX - and the ability to speak fluently about how they combine into end-to-end solutions.
Direct experience driving Physical AI or IIoT adoption in industrial environments, including digital twin deployments, autonomous inspection systems, robot safety, or intelligent transportation systems.
An established network of ISV, SI, and enterprise relationships in manufacturing, construction, mining, smart cities, or supply chain sectors who are actively investing in technology-based operational transformation.
Understanding GPU infrastructure and accelerated computing economics behind Metropolis workloads is essential. You can relate camera counts, inference efficiency, and model complexity to hardware use and total-cost-of-ownership discussions.
Experience working within or alongside a platform company's ecosystem motion—understanding how to enable partners, co-develop joint value propositions, and build the channel leverage that multiplies NVIDIA's reach.