Partner with our industry and account teams in a customer facing role to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.
Document what you know and teach others.
Be an industry leader with vision on integrating NVIDIA technology into AI Workloads and Workflows, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge.
Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful.

Requirements

Bachelors degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
8+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs.
Background working with modern application deployment practices including but not limited to Slurm, Docker/Containers, and Kubernetes.
Experience with modern Generative AI and Agentic AI architecture and frameworks.
Experience supporting customers/partners in technical engagements.
Strong organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
Strong analytical and problem-solving skills.

Benefits

equity
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencesoftware developmentparallel computingGenerative AIAgentic AIapplication deploymentHPCGPU architecturenetworking architecturetechnical engagement

Soft Skills

organization skillsanalytical skillsproblem-solving skillscustomer-facingteachingleadershipvisionempowerment

Certifications

Bachelors degree in EngineeringBachelors degree in MathematicsBachelors degree in PhysicsBachelors degree in Computer Science