The NVIDIA PerfTech team is looking for an outstanding Senior C++ Software Engineer to build the next generation of AI-powered developer tools.
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136,000+ live jobsDirector, Agentic AI Platform, Enterprise ISV and Infrastructure GTM - EMEA
Remote, the UK·Added 1 month ago (last checked 6 Oct)
Overview
Job details
Fully remote
Only from certain places, per the ad: “Remote - UK; France, Courbevoie; Remote - France”
Requirements
Have 15+ years of experience
Director-level role.
Skills
The role
NVIDIA has been transforming 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 amazing 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.
We are bringing three EMEA programmes under one leader: Agentic AI Platform GTM, Enterprise ISV and Cloud GTM, and ISV Infrastructure GTM. Our work connects open models, regulated software hardening, confidential computing, enterprise ISVs, cloud routes, global ISV promote-and-scale, and infrastructure ISVs into one path to adoption, so our partners and the customers they serve can put agentic AI into production.
What you'll be doing
Lead our EMEA go-to-market strategy and rhythm across Agentic AI Platform, Open Models and Nemotron, supervised software hardening, confidential computing and cybersecurity, Enterprise ISV and Cloud GTM, Global ISV promote-and-scale, and ISV Infrastructure GTM.
Compose how we prioritise partners and workloads across enterprise ISVs, cloud routes, infrastructure ISVs, MLOps partners, data and platform partners, OEMs, cloud providers, GSIs, and solution advisors.
Build executive relationships with strategic enterprise ISVs, infrastructure ISVs, cloud partners, GSIs, OEMs, and priority customers.
Mentor our leaders and senior individual contributors across agentic AI platform GTM, open models, supervised industries, confidential computing, enterprise ISV and cloud GTM, and infrastructure ISV work.
What we need to see
Bachelor's or master's degree in Business, Computer Science, Engineering, or equivalent experience.
15+ overall years in enterprise software, ecosystem GTM, cloud, AI platform, ISV alliances, technical sales, or platform leadership, including 10+ or more years leading teams.
Experience guiding partner-led software revenue programmes across enterprise ISVs, infrastructure ISVs, cloud providers, GSIs, OEMs, marketplaces, or enterprise platform ecosystems.
Strong understanding of agentic AI, open models, AI Factory architecture, AI infrastructure, MLOps, data platforms, cloud marketplaces, and enterprise deployment patterns.
Deep knowledge of leading open and open-weight models such as Kimi K3, GLM 5.2, DeepSeek, MiniMax, Qwen, and Mistral, and how open and sovereign models create partner and workload opportunities.
Commercial judgement across partner business plans, pipeline reviews, co-sell, marketplace routes, proof-of-value governance, and promote-and-scale execution.
Credibility with customers, partners, regional leadership, and global product and field stakeholders.
Ability to simplify a broad ecosystem into clear priorities, named owners, repeatable field plays, and measurable software uptake.
Ways to stand out from the crowd
Experience scaling agentic AI, open and sovereign model adoption, enterprise software platforms, cloud marketplaces, or AI Factory partner ecosystems.
Background with strategic enterprise ISVs, infrastructure partners, data platforms, or AI platform ecosystems.
Familiarity with AI Enterprise, Run:ai, or Mission Control, plus a record of leading through change, including team redesign, partner prioritisation, and ecosystem segmentation.
Real passion for mentoring senior people and sharing what you learn as you go!
NVIDIA supports a flexible work environment where you are empowered to manage your work-life balance. 60% Travel, some international, may be required.
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/
Hiring process
Search and apply
Phone interviews
Phone call
Full-time candidates typically start with phone interviews.
Virtual or in-person interviews
With hiring manager, team members and employees from other groups · 30–60 min
One-on-one, small-group or panel interviews with the hiring manager, team members and people from other groups; an onsite in-person interview at an office is required before an offer.
Insider Chat
With a community resource group member · 15 min · Not every role
An optional 15-minute conversation with a community resource group member that does not influence the hiring decision.
Decision and offer
- Applicants selected to move forward hear from recruiting within a couple of weeks.
- Most candidates have a decision within weeks of their first interview.
- Technical candidates may complete coding exercises on HackerRank.
About NVIDIA
- Industry
- Technology
- Founded
- 1993
- Employees
- 26,000–30,000
- Headquarters
- Santa Clara, USA
- Website
- nvidia.com
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