All vacancies
Deep Learning Performance Architect
NVIDIA
China, Shanghai · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)
NVIDIA is developing GPU and system architectures that accelerate deep learning and high-performance computing applications. We are looking for an expert deep learning performance architect to join our deep learning modelling, performance projections, analysis and optimization effort.
Responsibilities
- Analyze performance of various deep learning workloads on different architectures
- Identify architecture and software performance bottlenecks
- Explore new features and system configurations to achieve better performance and energy efficiency
- What we need to see
- BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,)
- 3+ years of working experience in relevant directions (e.g., hardware system, datacenter hardware, LLM workloads on data center) will be a plus
- Be familiar with GPU or accelerator-based deep learning platform and software stack
- A strong background in computer architecture
- Experience on system architecture design and performance optimization
- Familiar with machine learning and deep learning frameworks
Languages
- Work format
- On-site
- Seniority
- Senior
- Posted
- 27 Jul 2026
- Last verified
- In the last 5 days
Similar roles
- Senior Full-Stack Engineer, AI Platform and AgentsEPAM Systems · Remote · Armenia
- Tech Lead (m/w/d)mittwald · Remote · worldwide, UTC+4 accepted
- SAP Fiori/UI5 Developer (ABAP & S/4HANA)Pontoonglobal · Remote · worldwide, UTC+4 accepted
- Lead Cloud EngineerEPAM Systems · Remote · Armenia
- Design EngineerKick · Remote · worldwide, UTC+4 accepted
- Senior DevOps EngineerQualifyze · Remote · worldwide, UTC+4 accepted