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 crucial in driving the business development strategy for NVIDIA Metropolis. You will position it as the leading operational intelligence solution across industries.
What you'll be doing
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.
What we need to see:
8+ years of demonstrated 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. MBA or advanced technical degree a plus.
Become part of our ambitious, world-class team and help us successfully implement solutions that will build the future of AI and computing! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 247,250 USD for Level 4, and 184,000 USD - 299,000 USD for Level 5.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 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.Skills Required
- 8+ years in business development, enterprise sales, or strategic partnerships in high-tech
- Proven track record driving adoption of complex AI, hardware/software, or platform solutions and converting to revenue
- Domain expertise in manufacturing, industrial automation, supply chain & logistics, construction, mining, smart cities/spaces, or related OT sectors
- Hands-on familiarity with NVIDIA Metropolis components including VSS, NIM microservices, DeepStream SDK, TAO Toolkit, Jetson, and IGX
- Direct experience driving Physical AI or IIoT adoption in industrial environments (digital twins, autonomous inspection, robot safety, intelligent transportation)
- Established network of ISV, SI, and enterprise relationships in target industrial sectors
- Understanding of GPU infrastructure and accelerated computing economics (camera counts, inference efficiency, model complexity, TCO)
- Experience enabling partner ecosystems and co-developing joint value propositions within a platform company motion
- Proficient knowledge of computer vision topics (video analytics, VLMs, visual inspection, multi-camera systems)
- Outstanding communication and executive presence for C-suite and technical audiences
- Bachelor's degree or equivalent experience in Engineering, Computer Science, Business, or related field
- MBA or advanced technical degree
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”








