AI Systems Architecture Engineer – Lead Senior Engineer/Senior Engineer
Qualcomm Incorporated (company site, opens in a new tab)3–7 yrsBengaluruOn-siteDirect career pageEst. 20–45 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Define, prototype, and optimize AI system architectures across heterogeneous hardware including CPU, NPU, GPU, and memory interconnects.
- Develop and analyze system-architecture prototypes focused on workload partitioning, resource allocation, power/performance tradeoffs, and AI pipeline execution.
- Collaborate cross-functionally with hardware, firmware, compiler, runtime, and product teams to translate workload requirements into platform specifications and architectural improvements.
Minimum Requirements
- Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.
- 2+ years of academic or work experience programming with C, C++, Java, or Python.
- 3-7 years of experience in a hardware-focused system optimization role (level varies, hiring across multiple levels).
- Strong understanding of computer architecture concepts and ability to develop quantitative architecture models.
Ideal Candidate Profile
- Experienced in AI or machine-learning systems with knowledge of heterogeneous computing and SoC/accelerator architecture.
- Able to analyze and optimize system-level AI workload performance using profiling and modeling tools.
- Skilled at cross-disciplinary collaboration involving hardware architects, compiler engineers, and performance teams to influence AI platform development.