Senior Deep Learning Systems Architect

Job Title

Senior Deep Learning Systems Architect

Role Summary

Design system- and hardware-level architecture for next-generation GPU and AI platforms. Work within the Deep Learning Architecture team to co-design processors and accelerators, develop prototypes, and validate performance for real-world AI workloads.

Experience Level

Senior — typically 10+ years of relevant experience.

Responsibilities

Deliver architecture and system-level solutions that improve performance and efficiency for deep learning workloads.

• Contribute to architecture features for next-generation GPUs and AI systems.
• Stay current with deep learning research and translate algorithms into hardware/system requirements.
• Collaborate with DL researchers, hardware architects, and software engineers across teams.
• Co-design systems from specification through prototyping and benchmarking.
• Analyze DL workloads, identify bottlenecks, propose and validate optimizations.
• Build analytical models, implement prototypes, and run benchmarks to evaluate ideas.

Requirements

Key technical skills and experience required or strongly preferred.

• Must-have: Strong background in machine learning with emphasis on deep neural networks and DL fundamentals.
• Must-have: Experience adapting and training DNNs for varied tasks and workloads.
• Must-have: Experience developing code for DNN training frameworks such as PyTorch, TensorFlow, or JAX.
• Must-have: Programming fluency in C++; Python is highly desirable.
• Must-have: Experience in numerical analysis, performance analysis/optimization, and computer architecture.
• Nice-to-have: Experience with GPU computing (CUDA, OpenCL, OpenACC) and HPC frameworks (MPI, OpenMP).

Education Requirements

MS (or equivalent practical experience) or PhD in computer science, computer architecture, electrical engineering, or a related technical field. The posting also notes that advanced degree requirements may be substituted by additional equivalent experience.

Base salary range: 224,000 USD - 356,500 USD. Eligible for equity and company benefits. Applications accepted at least until 2026-07-19.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.