Leader driving NVIDIA's developer technology innovations through performance engineering. Collaborating on optimizing performance techniques for CPUs and GPUs in cloud and on-premise environments.
Responsibilities
Driving Innovation: researching, analyzing, and developing innovative techniques to optimize performance of complex workloads across cloud and on-premise environments.
Technical Leadership: leading software design decisions, influencing architecture roadmap, and effectively communicating technical solutions to multi-functional teams.
Growing and Mentoring Your Team: building a distributed world-class team of performance engineers and fostering a collaborative and innovative culture.
Collaboration and Communication: collaborating closely with company leadership, research teams, and cross-functional partners to drive strategic decision-making.
Requirements
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.
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