AI Developer Technology Engineer

NVIDIA; Zürich; On-site; CHF 160,000 - 230,000; Full time

Job summary

NVIDIA in Zürich is seeking a Senior Developer Technology Engineer to advance AI workloads by researching and developing GPU-accelerated techniques for deep learning and related domains. You will collaborate with experts across industry and academia to analyze, optimize AI/HPC algorithms for CPU and GPU architectures and share findings publicly.

The role requires an advanced degree in CS/CE, 8+ years of relevant experience, and strong C/C++ and parallel programming skills

Qualifications

• Advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
• 8+ years of relevant experience in software development or research work.
• Programming fluency in C/C++ with a deep understanding of algorithms and software development.
• 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.

Responsibilities

• Research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.
• Analyze and optimize complex AI and HPC algorithms for optimal AI solutions on CPU and GPU architectures.
• Publish and/or present optimization techniques in developer blogs or conferences to engage and educate the developer community.
• Influence design of next-generation hardware architectures, software, and programming models with NVIDIA teams.

Skills

C/C++ programming

Parallel programming

Performance optimization

CPU/GPU architecture knowledge

Communication & organization

Education

Advanced degree in Computer Science / Computer Engineering

Tools

CUDA

OpenACC

OpenMP

MPI

pthreads

Job description

We’re currently seeking a Senior 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 8+ 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.

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.

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