AI Computing Architect

Job Title

AI Computing Architect

Role Summary

Member of NVIDIA's AI Computing Architecture team focused on designing and evaluating next-generation architectures for deep learning and high-performance computing.

The role analyzes performance, cost and power trade-offs, prototypes key algorithms, and collaborates with software, product and research teams to guide hardware and software co-design.

Experience Level

Mid-level — typically requires 3+ years of relevant industry experience.

Responsibilities

Primary responsibilities include architecture design, performance analysis, and cross-team collaboration.

• Develop architectures to improve deep learning performance and efficiency.
• Analyze performance, cost and power trade-offs using analytical models, simulators and test suites.
• Evaluate interactions between hardware and software architectures, programming models, and applications.
• Prototype deep learning and data analytics algorithms and representative workloads.
• Collaborate with software, product and research teams to influence design direction and requirements.

Requirements

Must-have technical skills and experience.

• Strong programming skills in Python, C and C++.
• Solid background in computer architecture and architecture-level analysis.
• Experience with performance modeling, architecture simulation, profiling, and performance analysis.
• Strong foundation in machine learning and deep learning concepts.

Nice-to-have

• Experience with GPU computing and parallel programming models such as CUDA or OpenCL.
• Experience analyzing or designing other deep learning accelerators or their workloads.
• Experience with training/inference workflows and optimization in frameworks (PyTorch, TensorFlow, TensorRT).
• Experience with open-source AI compiler projects (Triton, MLIR, TVM, XLA, etc.).

Education Requirements

BS or higher degree in a relevant technical field (Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or similar). The source indicates this is typically paired with 3+ years of work experience.

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.