Developer Technology Engineer AI
NVIDIA
Job Overview
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Job Description
About NVIDIA and the Role
NVIDIA is seeking a passionate, world-class computer scientist or engineer to join its Compute Developer Technology (DevTech) team as a Developer Technology Engineer AI. The DevTech team serves as a crucial bridge between customer requirements and NVIDIA's cutting-edge solutions. In this role, you will tackle complex engineering and applied research challenges arising from real-world use cases, collaborating with a team of talented and dedicated professionals. We welcome individuals from all backgrounds; while GPU and CUDA knowledge is a plus, excellent C++ engineering skills and a love for programming are highly valued.
What You'll Be Doing
- Research and develop cutting-edge techniques in deep learning, machine learning, HPC (High Performance Computing), graphs, and data analytics.
- Perform in-depth analysis and optimization to ensure the best performance on NVIDIA's current and next-generation accelerated computing platforms, including GPU, CPU, and DPU.
- Work directly with key customers to understand their present and future challenges, optimizing their workloads to maximize performance on NVIDIA's platform.
- Collaborate closely with architecture, research, libraries, tools, and system software teams at NVIDIA to design and develop next-generation architectures, software platforms, and programming models.
What We Need To See
- MS or PhD from a university in engineering, computer science, or related disciplines.
- 2+ years of relevant working experience.
- Strong knowledge of C/C++, software design, programming techniques, or AI algorithms and system.
- Experience with accelerated computing, ideally CUDA C/C++/Python.
- Good communication and problem-solving skills.
Why NVIDIA?
With highly competitive salaries and a comprehensive benefits package, NVIDIA is recognized as one of the technology industry's most desirable employers. You'll be part of a team comprising some of the most brilliant and talented individuals globally, as our engineering teams are expanding rapidly. If you are a creative, autonomous computer scientist with a genuine passion for parallel computing, NVIDIA encourages you to apply.
Key skills/competency
- Deep Learning
- Machine Learning
- High Performance Computing (HPC)
- Data Analytics
- GPU Optimization
- C/C++ Programming
- CUDA
- Accelerated Computing
- Software Design
- Problem Solving
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight C/C++, AI algorithms, and accelerated computing experience for Developer Technology Engineer AI at NVIDIA.
- Showcase parallel computing passion: Emphasize projects or experience in GPU programming, deep learning, or high-performance computing.
- Prepare for technical depth: Expect questions on C/C++, data structures, algorithms, and CUDA concepts relevant to NVIDIA's core technologies.
- Demonstrate problem-solving: Be ready to discuss how you've tackled complex optimization and engineering challenges.
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