AI summary
This role involves designing GPU and system architectures to enhance AI Inference performance, developing performance strategies, and collaborating with teams across the company.
Job Description
We are now looking for a Senior Deep Learning Performance Architect!
NVIDIA seeks a Senior DL Performance Architect to join our group of pioneers who enjoy pushing AI Inference performance boundaries. Our team focuses on ambitious hardware-software co-design to speed AI Inference workloads. This role gives an outstanding opportunity to develop world-class performance strategies, guide future GPU architecture decisions, and lead AI innovation. If you are passionate about AI efficiency Pareto curves, have a proven record of modeling LLM performance and architecting AI systems, and enjoy optimizing every cycle, this role may be perfect for you!
What you'll be doing:
- Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency
- Construct, investigate, and test popular deep learning algorithms and applications
- Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications
- Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture
- Collaborate across the company to guide the direction of AI, working with software, research, and product teams
What we need to see:
- A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience
- Strong mathematical foundation in machine learning and deep learning
- Expert programming skills in C, C++, and/or Python
- Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) stack
- Strong knowledge and coursework in computer architecture
Ways to stand out from the crowd:
- Background with systems-level performance modeling, profiling, and analysis
- Experience in characterizing and modeling system-level performance, accomplishing comparison studies, and documenting and publishing results
- Background in improving AI Inference workloads by developing CUDA kernels or compilers for custom ASIC hardware
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.Originally posted on Himalayas
About the job
- Posted on
- Sep 29, 2026
- Job type
- Full-time
- Location
- Canada, United StatesOn-site
Keep looking
Related roles you might like
Research Scientist, Generalist Embodied Agent Research - PhD New College Grad 20
NVIDIA
Developer Relations Manager, Retail & Media Entertainment
NVIDIA
AI and FSI Developer Technology Engineer - New College Grad 2026
NVIDIA
Senior Developer Advocate Engineer - Robotics and Physical AI
NVIDIA
Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC
NVIDIA
Senior Mass Production Infrastructure Manufacture Engineer
NVIDIA
Senior Solutions Architect, NVIDIA Cloud Partners - Mexico
NVIDIA
EMEA Sales Senior Account Manager, Smart Spaces and Local Government
NVIDIA
Explore more
Browse more jobs like this
Job type
Work arrangement
Disclaimer: Real Jobs From Anywhere is an independent platform dedicated to providing information about job openings. We are not affiliated with, nor do we represent, any company, agency, or agent mentioned in the job listings. Please refer to our Terms of Services for further details.
