Nvidia HSIO Functional Power Management Engineer 

United States, California 

773526809

What you’ll be doing:

• Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications

• Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications

• Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models

• Develop and communicate technical solutions to external and internal collaborators, including technical design decisions and project plans

• Hire the best talent to join your team, promoting a diverse and skilled team that can tackle complex technical challenges

• Coach and grow your team, promoting a culture of engineering excellence and idea proliferation

What we need to see:

• An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science or engineering degree (or equivalent experience).

• 8+ overall years of relevant experience with 5+ years in a technical role and 3+ years of experience in an engineering leadership role.

• In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference

• Background in parallel programming, e.g., CUDA, OpenMP, MPI, pthreads, etc.

• Programming fluency in C/C++ with a deep understanding of algorithms and software development.

• Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations

• Excellent written and presentation skills.

• Proven track record of planning and leading critical initiatives.

Ways to stand out from the crowd:

• A PhD in a relevant field

• Expertise in LLMs, multimodal model architecture and performance optimizations of relevant computational primitives

• Proven experience with recruiting top talent.

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