Manager, GPU Accelerated Data Analytics

Overview In this leadership role you steer a distributed team of performance engineers to unlock the full potential of NVIDIA’s CPUs and GPUs. You’ll collaborate with the developer community to optimize complex workloads across cloud and on‑prem environments, influencing hardware and software roadmaps. You will drive major initiatives to improve performance, mentor engineers, and align cross‑functional partners around strategic goals. This role offers the chance to shape next‑generation platforms and have a tangible impact on data center efficiency and AI workloads. Compensation / Benefitsequitybenefitsbase salaryhybrid/remote options ResponsibilitiesLead a distributed team of performance engineers and mentor talentResearch, design, and implement novel performance optimization techniques for complex workloadsInfluence architecture roadmaps and communicate technical solutions to cross‑functional teamsCollaborate with leadership, research, and partners to drive strategic decisions and successful initiativesAdvocate for next‑generation hardware/software products addressing developer needs and cost/power efficiency Key requirementsMS or PhD in Computer Science, Computer Engineering, or related computational field (or equivalent experience)7+ years of overall experience with 4+ years in a technical role and 3+ years in an engineering leadership roleStrong leadership, cross‑functional collaboration, and project executionHands‑on experience in low‑level performance optimization, including GPU parallel programming (CUDA)Fluent in C/C++ with deep algorithms/software development knowledgeIn‑depth expertise in CPU/GPU architecture fundamentalsProven track record building high‑performing teams and attracting top engineering talentExcellent communication and presentation skillsDemonstrated ability to plan, lead, and execute high‑impact initiativesleadershipcross‑functional collaborationclear communicationCUDA GPU programmingC/C++ developmentlow‑level performance optimization