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Senior Manager, Accelerated Data Science - RAPIDS

Company: Nvidia
Location: Boulder
Posted on: June 10, 2021

Job Description:

We are looking for a senior engineering manager to lead a critical part of the NVIDIA's RAPIDS team. RAPIDS is the open source suite for GPU-accelerated data science, spanning from ETL and data transformation to visualization, graph analytics, and machine learning. As a senior manager, you'll have the opportunity to drive the next level of execution and innovation within RAPIDS. You'll lead the team building the high-performance C++/CUDA core at the heart of the suite, while interfacing closely with Python and Java/Spark layers.

This manager will work closely with related engineering organizations, product management, and customer success teams in a highly collaborative environment. You'll need to prioritize engineering requirements, track and improve performance, and build alliances both within NVIDIA and across the open source ecosystem. We are looking for managers with technical depth and strong interpersonal skills to help coach this outstanding team. This is a distributed team, so we'd welcome both managers who'd prefer to come into an NVIDIA office as well as those who prefer to work remotely.

What you'll be doing:

  • Managing a highly-effective team of C++, CUDA, and Python developers, focused on building next-generation data processing libraries with a strong culture of quality software engineering

  • Coaching engineers and helping to drive career growth

  • Interfacing with internal and external stakeholders, API consumers, and hardware architects

  • Managing and prioritizing engineering requirements (with support from product management)

  • Clearing blockers, optimizing processes, and ensuring that the team is able to work at maximum productivity

  • Delivering top performance on both industry benchmarks and internal targets

What we need to see:

  • 5+ years of experience working on performance-critical libraries, databases, frameworks, or similar highly-technical projects

  • 3+ years managing a team

  • Masters degree or PhD in a technical field, such as computer science, electrical engineering (or equivalent practical experience)

  • A commitment to team culture that focuses on innovation and collaboration

Ways to stand out from the crowd:

  • Strong familiarity with C++

  • Experience with CUDA or other parallel programming frameworks

  • Python development and/or leadership experience

  • Prior work with open source development and community building

  • Understanding of modern data science and/or data engineering practices

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

Keywords: Nvidia, Boulder , Senior Manager, Accelerated Data Science - RAPIDS, Other , Boulder, Colorado

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