Principal AI Developer Technology Engineer

NVIDIA Corporation; La Boissière-des-Landes; On-site; EUR 150,000 - 190,000; Full time

Job summary

NVIDIA Corporation in Pays de la Loire, La Boissière-des-Landes, seeks a Principal Developer Technology Engineer, AI, to drive GPU-accelerated AI workloads and architectures. You will research parallel algorithms, optimize AI and HPC code, and publish results with the developer community.

You will collaborate with researchers, hardware, and software teams to influence future hardware and programming models while delivering high-performance AI compute solutions.

Qualifications

• Advanced degree in CS/CE or related field required.
• 15+ years of software development or research experience.
• Expert in C/C++ with deep algorithm knowledge.
• Strong background in parallel programming (CUDA/OpenMP/OpenACC/MPI/pthreads).
• Hands-on experience with low-level performance optimization.
• Deep understanding of CPU and GPU architectures.
• Excellent written and verbal communication and organization.

Responsibilities

• Research and develop techniques to GPU accelerate AI workloads.
• Collaborate with experts to analyze and optimize AI/HPC algorithms on CPU/GPU.
• Publish or present optimization techniques to blogs or conferences.
• Influence design of next-generation hardware, software and programming models.

Skills

C/C++

CUDA

OpenACC

OpenMP

MPI

pthreads

Performance optimization

CPU architecture

GPU architecture

Communication

Education

Advanced degree in CS/CE or related field

Job description

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