Role at a glance
- Salary
- Not Disclosed
- Location
- 6 Locations, California, United States
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- You have 8+ years of relevant work experience or research.
- Education
- A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent...
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Role Summary
The Senior Developer Technology Engineer, Artificial Intelligence researches and develops techniques to accelerate AI workloads on GPU and other modern computing architectures. The role analyzes and optimizes complex AI and HPC algorithms, shares findings with the developer community, and collaborates with teams shaping future hardware, software, and programming models.
What You'll Do
- Research and develop techniques to GPU-accelerate workloads in deep learning, machine learning, and other AI domains.
- Analyze and optimize complex AI and HPC algorithms with technical experts from industry and academia for CPU and GPU architectures.
- Publish and present optimization techniques through developer blogs or relevant conferences.
- Collaborate with research, hardware, system software, libraries, and tools teams on next-generation hardware architectures, software,...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: a master's degree in computer science, computer engineering, or a related computationally focused science field, or equivalent experience; 8+ years of relevant work experience or research; fluency in C/C++, strong algorithm and software-development knowledge, a background in parallel programming, hands-on low-level performance optimization experience, expertise in CPU and GPU architecture fundamentals, and communication, organization, problem-solving, and prioritization skills.
Required
- Master's degree in Computer Science, Computer Engineering, or a related computationally focused science field, or additional equivalent...
- 8+ years of relevant work experience or research.
- Programming fluency in C/C++ and a deep understanding of algorithms and software development.
- Background in parallel programming, such as CUDA, OpenACC, OpenMP, MPI, or pthreads.
- Hands-on experience with low-level performance optimization.
- In-depth expertise in CPU and GPU architecture fundamentals.
- Good communication and organization skills, a logical approach to problem solving, and prioritization skills.
Preferred
- Expertise in parallelization and performance optimization of deep learning models in areas such as Natural Language Processing, Computer...
- Excellent understanding of linear algebra.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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? Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of 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 the best possible AI solutions on modern CPU and GPU architectures.
Publish and 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:
A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience).
You have 8+ years of relevant work experience or research.
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.
Good communication and organization skills, with a logical approach to problem solving, 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.
What's DevTech? We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the cutting edge of technology, advancing NVIDIA’s leadership in accelerated computing. Our discoveries generate findings that benefit the Developer Community and provides guidance to our engineering teams to help make our products better. NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and our Developer Technology Engineering team has been steadily growing to meet the demands for our services.
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.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.