[Remote] Manager, GPU Accelerated Data Analytics

Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading company in accelerated computing, seeking a visionary leader for their Developer Technology Engineering team. This role involves leading a team of performance engineers to optimize complex workloads and drive innovation in NVIDIA's hardware and software platforms.

Responsibilities

• Driving Innovation: This involves researching, analyzing, and developing innovative techniques to optimize performance of complex workloads across cloud and on-premise environments. These workloads are difficult to parallelize and major performance speed-ups require inventing new algorithms and working side-by-side with architects to influence hardware
• Technical Leadership: Drive technical excellence by leading software design decisions, influencing architecture roadmap, and effectively communicating technical solutions to multi-functional teams. Prioritize and lead key initiatives that advance the performance and adoption of NVIDIA’s hardware and software platforms
• Growing and Mentoring Your Team: Build a distributed world-class team of performance engineers. Grow domain, hardware and software expertise within your team to strengthen external developer engagements. Foster a collaborative and innovative culture that encourages idea sharing, empowers team members, and provides opportunities for professional growth
• Collaboration and Communication: Collaborate closely with company leadership, research teams, and cross-functional partners to drive strategic decision-making, program management, and successful initiative implementation. Advocate for next-generation hardware and software products that address the evolving needs of the developer community

Skills

• An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science degree (or equivalent experience)
• 7+ overall years of relevant experience with 4+ years in a technical role and 3+ years of experience in an engineering leadership role
• Outstanding leadership, strong cross-functional collaboration, and impactful project execution
• Hands-on experience in low-level performance optimization, including GPU parallel programming, e.g., CUDA
• Programming fluency in C/C++ with a deep understanding of algorithms and software development
• In-depth expertise with CPU and GPU architecture fundamentals
• Strong algorithmic skills and proven experience implementing low-level optimizations for enterprise applications
• A track record of building high-performing teams by attracting and hiring top engineering talent
• Excellent communication and presentation skills
• Demonstrated ability to successfully plan, lead, and execute high-impact initiatives
• A PhD in a relevant field is highly valued
• Experience leading engineering teams to design performance-first prototypes
• Strong background in distributed high-performance data analytics including SQL or vector databases
• Expertise in modern data center network and storage technologies

Benefits

• Eligible for equity
• Eligible for benefits

Company Overview

Company H1B Sponsorship