AI Developer Technology Engineer

NVIDIA; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

NVIDIA is seeking a Senior Developer Technology Engineer in AI to advance parallel computing and accelerate AI workloads on modern CPU/GPU architectures.

You will collaborate with researchers and industry experts to optimize AI/HPC algorithms, publish techniques, and influence hardware/software models while engaging the developer community.

Qualifications

• Advanced degree or equivalent experience in CS or CE.
• 8+ years of software development or research experience.
• Proficient in C/C++ and algorithms.
• Experience with parallel programming and performance tuning.
• Strong communication and time management skills.
• Hands-on experience with low-level optimization.
• Deep understanding of CPU/GPU architectures.

Responsibilities

• Research and develop techniques to GPU accelerate AI workloads.
• Collaborate with experts to optimize AI/HPC algorithms for modern CPUs/GPUs.
• Publish and present optimization techniques in developer blogs or relevant conferences.
• Influence the design of next-generation hardware architectures, software, and programming models at NVIDIA.

Skills

C/C++

Parallel programming

Low-level optimization

CPU/GPU architecture

Communication skills

Problem solving

Education

Advanced degree in Computer Science or 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. 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.

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