Solutions Architect – AI Technology Centre

🕒 April 28

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Serve as a research & engineering subject matter expert (SME), driving internal and external collaborations with academia and industry. • Serve as the technical expert for NVIDIA technologies, in particular Alchemi and more broadly, AI4Science and Deep Learning toolkits. • Lead and mentor junior technical members, encouraging a collaborative and inclusive environment. • Collaborate with the management team to develop and implement strategic engagements and projects involving institutes of higher learning (IHLs), industry, and government, ensuring seamless delivery and implementation. • Play a key role in NVIDIA’s global initiative to foster accelerated AI throughout the ecosystem by facilitating and supporting workshops, symposiums, and technical sharing sessions. • Mentor collaborators, interns, and students, providing mentorship and skills training to successfully implement AI projects. • Develop NVIDIA technology-related tutorials, demos, and workshop materials, showcasing our world-class innovations.

🎯 Requirements

• Demonstrated 5+ years of experience with AI4Chemistry, computational biology and familiar with NVIDIA technologies (i.e. AI model training using accelerated AI compute, etc.) • A PhD or equivalent experience in Computational Biology, Artificial Intelligence or related research domains. • A proven history of guiding and assisting research & engineering projects. • Technical mentoring experience in areas such as research/engineering projects. • Experience in AI ecosystem development and collaboration initiatives. • Proficiency in coding with Python and using AI/ML libraries such as Pytorch. • Excellent time management skills, self-motivation, and the ability to work both independently and within a team. • Effective communication skills, enabling you to articulate complex concepts clearly and concisely.

🏖️ Benefits

• Comprehensive benefits package