Alliance Manager Developer Relations, Machine Learning - Healthcare

At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used for work and play. Our technology impacts the visual experience in video game development, film production, space exploration, medicine, computational finance and automotive design. And we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working and creative people to help us seek some of these unrivaled opportunities. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play The healthcare industry is innovating with deep learning and high content screening, genomics, electronic health records, claims, wearables and reimbursement data (Real World Evidence Analytics) to develop applications that enable actionable insights. We seek an Alliance Manager that will advance the field of modern artificial intelligence and computer vision within the healthcare ecosystem. As a strong teammate within NVIDIA's Worldwide Field Operations team, the Alliance Manager will lead partnerships with developers in research, start-up companies, health IT and pharmaceutical companies. We need creative people who want to build technology and solutions at the intersection of machine learning, deep learning, and data analytics. This role requires an experienced technical business manager who believes that deep learning, data science, and artificial intelligence require a new computing model. Alliance Managers create and execute partnership strategies to build ISV collaborations and platform solutions that include a range of applications. You excel when working at the intersection of developer advocacy, product management and business development. You will work closely with many groups, including Industry Business Development, Solutions Architects, Software Developers, Hardware & Software Architecture, and our business units and marketing teams. This role includes high transparency with senior executives, given the strategic priority for developing a computing platform for Deep Learning and AI in healthcare. What you'll be doing: * Lead and develop healthcare developer and ISV strategy with cross functional teams: Product, Engineering, Applied Research * Lead strategic relationships with key opinion leaders in healthcare, influential researchers, leading start-ups, healthcare IT product teams as well as medical instrument ISVs. * Building strong relationships with external engineering leads & developers - dedicate yourself to making them successful * Deeply know the roadmap at all times for product and engineering steering * Resolve and distil feature requests into actionable engineering and product steering * Be alert to the competitive landscape and communicate internally * Work with the Nvidia account teams to oversee highly strategic accounts: eg: Astra Zeneca, GSK. * Align technology roadmaps * Detailed roadmap briefings of all NVIDIA AI computing platforms from datacentre to edge: Deep Learning SDK, Tesla, Tegra, NGC. * Early access integration (Engineering, Product). * Strategic partnership and community building by attending research conferences and hosting technical meetups. * Host an annual deep learning developers summit. * You engage leaders with vision to speak and showcase NV Technology at industry events. * Influence machine learning strategy for projects; explores and design options/approaches. * Maintain yourself up-to-date with the latest machine learning and deep learning tools and methodologies - need to be able to suggest and develop impactful solutions. * Maintain a strong technical and scientific profile in the machine learning community, by contributing to research publications, open source libraries, blog posts. * Make effective contributions to internal discussions on emerging machine learning methodologies and identify possible applications. What we need to see: * BS/MS/PhD in Computer Science or Engineering. * 5 yrs experience in machine learning and data analytics, preferably 2 within the health analytics ecosystem. * Working knowledge with machine learning, deep learning, artificial intelligence platforms. * Excellent interpersonal skills are an essential requirement. You liaise well across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers. Ways to stand out of a crowd: * Are you driven to positively impact healthcare through the use of emerging technologies? * Driven to build new markets by building productive substantial relationships across this ec