Principal AI Developer Technology Engineer

NVIDIA; Zürich; On-site; CHF 130,000 - 170,000; Full time

Job summary

A leader in AI technology in Zürich seeks a Principal Developer Technology Engineer. In this role, you will research and develop techniques to GPU accelerate workloads in deep learning and machine learning. You will collaborate with technical experts to analyze and optimize AI algorithms and publish findings. Ideal candidates have an advanced degree in computer science and 15+ years of experience in software development, with expertise in C/C++ and parallel programming. The role offers a unique opportunity to influence next-generation technology.

Qualifications

• 15+ years of relevant experience in software development or research.
• Deep understanding of algorithms and software development.
• Expertise with CPU and GPU architecture fundamentals.

Responsibilities

• Research and develop techniques to GPU accelerate workloads.
• Analyze and optimize complex AI and HPC algorithms.
• Publish and present optimization techniques to the developer community.
• Influence the design of hardware architectures and software.

Skills

C/C++ programming fluency

Parallel programming

Low-level performance optimizations

Communication skills

Problem-solving

Education

Advanced degree in Computer Science 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

• 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).
• 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 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.