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Principal AI Developer Technology Engineer

On-site in Bristol·Added 6 months ago

This job was published 6 months ago

NVIDIA

61 open roles

Overview

Requirements

  • Work on-site in Bristol

    No relocation package mentioned.

  • Have 15+ years of experience

    Staff-level role.

Skills

The role

We're currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.

What you will be doing

  • In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.

  • Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.

  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see

  • An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).

  • You have 15+ years of relevant experience in software development or research work.

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

  • A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.

  • Hands on experience doing low-level performance optimizations.

  • In-depth expertise with CPU and GPU architecture fundamentals.

  • Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.

Ways to stand out from the crowd

  • Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.

  • Excellent understanding of linear algebra.

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. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

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

Hiring process

3 steps2 interviewsa matter of weeks from the first interview in all
  1. Search and apply

  2. Phone interviews

    Phone call

    Full-time candidates typically start with phone interviews.

  3. Virtual or in-person interviews

    With hiring manager, team members and employees from other groups · 30–60 min

    One-on-one, small-group or panel interviews with the hiring manager, team members and people from other groups; an onsite in-person interview at an office is required before an offer.

  4. Insider Chat

    With a community resource group member · 15 min · Not every role

    An optional 15-minute conversation with a community resource group member that does not influence the hiring decision.

  5. Decision and offer

  • Applicants selected to move forward hear from recruiting within a couple of weeks.
  • Most candidates have a decision within weeks of their first interview.
  • Technical candidates may complete coding exercises on HackerRank.

About NVIDIA

Industry
Technology
Founded
1993
Employees
26,000–30,000
Headquarters
Santa Clara, USA
Website
nvidia.com
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