GPU Architecture & AI/ML Engineer | IIT or NIT Freshers | 0–3 Years
Qualcomm Incorporated (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Work on next-generation GPU and compute architectures including architecture analysis, performance studies, validation, and debugging.
- Investigate complex hardware/software and system-level issues, performing root-cause analysis and developing tools, automation, and AI-assisted workflows.
- Collaborate with architecture, design, software, and validation teams on research and prototyping innovative solutions for future GPU and computing platforms.
Minimum Requirements
- Education: B.Tech/M.Tech in Computer Science, Electrical/Electronics Engineering, Computer Engineering, or related fields from Tier 1 or Tier 2 engineering institutes.
- Experience: 0–3 years in hardware engineering or related areas (fresh graduates and early-career engineers eligible).
- Strong programming skills in C/C++, fundamentals in Computer Architecture and Computer Organization, Operating Systems, Memory Systems, and Data Structures & Algorithms.
- Basic understanding of AI/ML concepts; work experience requirement varies by degree level as per qualification (not strictly enforced for fresh graduates).
Ideal Candidate Profile
- Strong academic and technical fundamentals in computer architecture and programming with good academic/project background.
- Demonstrates genuine interest and some exposure to GPU architecture, parallel computing, AI/ML, and high-performance computing.
- Has research aptitude, problem-solving skills, and relevant academic projects, internships, publications, or technical contributions related to GPU, AI, or emerging computing architectures.