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High Performance Computing Engineer, Bioinformatics - AI at Nvidia Corporation

Posted in General Business 30+ days ago.

This job brought to you by eQuest

Type: Full-Time
Location: Santa Clara, California

Job Description:

We are now looking for High Performance Computing Engineer - Bioinformatics.

NVIDIA is using the power of GPU computing and AI to accelerate the adoption of biotechnologies such as DNA sequencing. We are seeking passionate and talented individuals to help us realize our mission.

As a HPC engineer, you will join a research and development team focused on infrastructure development and collaborations with industry and academic partners. This position provides the opportunity to define, implement, productize, and deliver high performance computing software for a wide range of biotechnologies.

What you will be doing:

  • Develop HPC solutions on GPUs for analysis of biological data

  • Drive the testing and maintenance of the algorithms and software modules

  • Collaborate with multiple AI infrastructure and research teams

What we need to see:

  • Masters or PhD degree in a quantitative discipline such as Statistics, Physics, Computational Biology, Computer Science, Mathematics, or related field

  • 5 years of relevant work experience

  • GPU programming experience in CUDA

  • Experience with C++

  • Experience developing bioinformatics algorithms

  • Recognized for technical leadership contributions, capable of self-direction, and willingness to learn from and teach others

  • You should display strong communication skills, be organized and proactive, and play well with others (be a phenomenal teammate)

Ways to stand out from the crowd:

  • Experience with open source development

  • Familiarity with deep learning frameworks

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. Are you a creative and autonomous engineer with a real passion for machine learning, computational biology, data science & parallel computing? If so, 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.