What you will be doing:
Develop a technical strategy to ensure our platforms adoption for selected industries, focusing on your priority industries and use cases
Establish relationships with technical leaders in organizations and communities, specifically developers, startups and ISVs within the industries.
Evangelize and develop our leadership position by accelerating the availability of GPU-accelerated AI and data Science applications in the specified market by helping developers understand the value of our hardware products and SDKs in addressing critical development opportunities
Lead participation in targeted customer and industry developer events and activities. Chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers.
Be the key advisor to how we are differentiated. You will become a technology mentor and focal point for the software developer community.
What we need to see:
Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.Ds is preferred. Intellectual curiosity and passion for innovation.
Experience in several verticals/industries with good knowledge and trends in the industry.
Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.
You will show a deep understanding of who and how to engage the developers product and engineering organizations with at least 8 years related experience.
5+ years experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years experience in business development activities.
Able to work independently and possess excellent communication skills to drive customer and internal engagements.
Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.
Execute and accelerate strategic decisions.
Ability to effectively deliver value propositions for specific and targeted industries.
Ensure a positive experience for external customers and partners while working cross functionally within our organization.
Ways to stand out from the crowd:
Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing and other GPU related technologies and application domain.
Strong technical understanding of Data Analytics, Generative AI, Embedded System/Jetson.
Experience in network communication protocol is an added advantage.
Strong analytical, problem solving, and negotiation skills and the ability to use data analysis to support strategic decisions.
Excellent organizational, planning, and execution skills.
