NVIDIA, the world leader in AI computing, is seeking a passionate and highly skilled Senior Deep Learning Performance Architect to join our cutting-edge team. If you are an expert in deep learning and performance architecture, and thrive on pushing the boundaries of AI technology, we want to hear from you.
What You Will Do as a Senior Deep Learning Performance Architect:
As a key member of our Deep Learning Architecture team, you will be at the forefront of innovation, shaping the future of AI and high-performance computing. Your responsibilities will include:
- Architecting and developing groundbreaking architectures to significantly enhance deep learning performance and efficiency across diverse applications.
- Conducting in-depth performance analysis, cost evaluations, and power trade-off studies using sophisticated analytical models, simulators, and comprehensive test suites.
- Investigating and analyzing the complex interplay between hardware and software architectures to optimize future algorithms, programming models, and applications in the deep learning space.
- Contributing to the development, analysis, and advancement of state-of-the-art Deep Learning frameworks, libraries, and compilers to maximize performance.
- Collaborating closely with software, product, and research teams to strategically guide the evolution of deep learning hardware and software platforms.
What We Need To See From a Senior Deep Learning Performance Architect Candidate:
We are looking for exceptional individuals with a strong foundation in computer architecture and deep learning. Essential qualifications include:
- A Master’s or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
- 6+ years of substantial industry experience in performance architecture, specifically within the domain of GPUs or Deep Learning ASICs for both training and inference workloads.
- Proven expertise in performance modeling, architecture simulation, performance profiling, and detailed analysis.
- A solid understanding of the principles and practices of machine learning and deep learning methodologies.
- Excellent programming skills in Python, C, and C++.
Ways To Stand Out as a Top Candidate:
In addition to the essential qualifications, preference will be given to candidates who demonstrate:
- Deep practical experience with deep neural network training, inference, and optimization techniques using leading frameworks such as Pytorch, JAX, and TensorRT.
- Hands-on experience with relevant deep learning libraries, compilers, and languages including CUDNN, CUBLAS, CUTLASS, MLIR, Triton, CUDA, and OpenCL.
- Prior experience with the architecture of other deep learning accelerators or in-depth workload analysis on these platforms.
- A demonstrated track record of self-motivation, critical thinking, and innovative problem-solving.
Join the AI Revolution at NVIDIA:
Artificial Intelligence is transforming industries worldwide, and NVIDIA is at the heart of this revolution. Our GPUs are the engine powering the most advanced AI systems, enabling machines to learn, reason, and interact with the world in ways previously imagined only in science fiction. As “the AI computing company,” NVIDIA offers you a unique opportunity to contribute to groundbreaking advancements in deep learning and shape the future of technology.
Join our Deep Learning Architecture team and play a pivotal role in building the real-time, high-efficiency computing platforms that are driving NVIDIA’s continued success in this dynamic and rapidly expanding field.
The base salary range for this position is $184,000 USD – $356,500 USD. The final base salary will be determined by factors such as location, level of experience, and comparative compensation for employees in similar roles. NVIDIA also offers comprehensive equity and benefits packages.
NVIDIA is continuously accepting applications for this position.
NVIDIA is an equal opportunity employer and is deeply committed to fostering a diverse and inclusive work environment. We are proud to be an equal opportunity employer. We do not discriminate against applicants or employees based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected characteristic.
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