Senior Solutions Architect, Higher Education, Research, AI, HPC

This is a fully remote position, open to applicants in Germany.

📋 Description

• Collaborate directly with premier research laboratories, scholars, and university faculty as a reliable technical advisor.

• Comprehend customers' scientific objectives and propel joint research initiatives at supercomputing scale.

• Identify and expedite high-impact workloads.

• Incorporate NVIDIA frameworks, libraries, and core software stack into research endeavors.

• Assist researchers in enhancing their influence through publications, conference presentations, and technical content.

• Promote accelerated computing and AI methodologies for scientific discovery.

• Provide hands-on training, workshops, lectures, and demonstrations across NVIDIA platforms.

• Guide power users to become NVIDIA advocates.

• Monitor emerging research trends.

• Transform gaps between researcher requirements and NVIDIA solutions into prototype offerings.

• Offer direct insights to NVIDIA Engineering.

• Maintain extensive domain expertise in NVIDIA's GPUs, CPUs, networking, and software.

• Travel for in-person customer meetings as necessary.

• Utilize conferencing tools to enhance customer success.

⛳️ Requirements

• A graduate degree from a prestigious university in a STEM-related field or equivalent experience.

• Over 5 years of experience at the intersection of HPC and AI.

• Proven experience executing scientific workloads at scale on multi-node GPU systems.

• Experience in applying machine learning techniques to scientific workloads.

• Strong skills in collaboration and communication.

• Ability to cultivate relationships with academic and research stakeholders.

• Capability to convey complex concepts clearly to both expert and non-expert audiences.

• Action-oriented, analytical, self-motivated, and enthusiastic about learning.

• Excellent organizational skills in a highly multi-tasked setting.

• Proficient in English, both spoken and written.

• Comfortable programming in Python.

• Willingness to travel.

• Preferred: PhD from a prestigious university in a STEM-related discipline, with more than 3 years of research experience in computational science combined with AI.

• Preferred: Demonstrated record of thought leadership, including impactful publications and presentations at academic conferences and workshops.

• Preferred: Understanding of scientific policy engagement, grant application processes, or national/European research program frameworks.

• Preferred: Experience with NVIDIA's accelerated computing stack for scientific applications, powered by CUDA and CUDA-X libraries, such as PhysicsNeMo, Warp, cuEquivariance, ALCHEMI, and Omniverse.

🏝️ Benefits

• A diverse and supportive work environment.

• Travel is required, but not excessive.

• Extensive use of conferencing tools.

• Empowerment to decide how to accomplish tasks.

• Opportunity to collaborate with leading research laboratories, scholars, and university faculty.

• Mentorship and professional engagement through training sessions, workshops, lectures, demonstrations, publications, conference presentations, and technical content.