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.
What you’ll be doing:In this role, as a Software Sales Specialist you will be responsible for NVIDIA's software solutions for the Accelerated Datacenter for dedicated regions within EMEA. Develop and maintain in-depth knowledge of NVIDIA Go to market strategies, competitors and market landscape both personally and across the team. Engage and develop deep V and C level relationship with customers, work with various groups such as account teams, solution architects, marketing, sales operations, and partner sales as well as ISV, OEM, GSI, Cloud partners and Resell partners.
Contribute to and be responsible for software revenue growth in your assigned regions
Build effective collaborations for making revenue generating opportunity management, promotions, building actions and training.
Co-selling and pro-active engagement on end user opportunities with NVIDIA account team, OEMs, Channel Partners and VARs, NVIDIA cloud partner and CSP on both AI/ML and infrastructure to contribute against EMEA defined revenue target.
Communicate NVIDIA technology impact and value to the geo; build demand for NVIDIA technologies in the Virtualized Datacenter(e.g. VMware/RedHat/Ubuntu), cloud native (Redhat Open shift /Kubernetes) and Data Science / Machine Learning segments.
Coordinate appropriate engagement of company resources to ensure sales success
Opportunity management – via NVIDIA account team and OEM and channel/cloud partners (NPN) with accurate forecasting and reporting on sales activities including pipeline development and progression
A Bachelor’s degree or equivalent experience is desirable
2+ years of high technology sales experience, full sales cycle (prospecting, customer presentation/demos, negotiating, and closing).
Strong customer/partner relationship skills, AI knowledge and NVIDIA AI platform (training and inference)
Knowledge in Infrastructure (virtualization/cluster management/cloud native)
Experience applying Salesforce (SFDC) or equivalent tools for pipeline management.
A passion for winning, excellent collaboration skills with a wide variety of internal team members, self-starter, self-confident individual with integrity and accountability, Highly motivated, competitive, and attracted to an exciting opportunity. A proven track record to work in a fast-paced environment where strong listening skills are crucial as is having strong problem solving, written, verbal and social skills along with excellent presentation skills.
International travel will be required.
Strong interpersonal and time management skills. Logical, critical thinking, fast learner and good team-worker.
Knowledge of the NVIDIA AI Enterprise SW Suite (NVAIE)
Confirmed knowledge in influencing business practices and products to better align with customer needs
Experience in qualifying new customers to enable revenue opportunities, product alignment and decision makers
Able to demonstrate a strong technical foundation to establish credibility with customers and/or partners
Flexible and a resilient problem solver.
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/
Skills Required
- 2+ years of high technology sales experience, full sales cycle (prospecting, presentations/demos, negotiating, closing).
- Strong customer and partner relationship skills and experience engaging V and C-level stakeholders.
- Knowledge of AI and NVIDIA AI platform (training and inference).
- Knowledge in infrastructure: virtualization, cluster management, cloud native.
- Experience using Salesforce (SFDC) or equivalent pipeline management tools.
- International travel availability.
- Bachelor's degree or equivalent experience.
- Excellent presentation, communication, problem solving, interpersonal and time management skills; self-starter and team worker.
- Knowledge of NVIDIA AI Enterprise SW Suite (NVAIE).
- Experience qualifying new customers and influencing product/business alignment.
- Demonstrable technical foundation to establish credibility with customers/partners.
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.”
