1 day ago
Base Salary
$235k - $352k/yr
Responsibilities
- Develop architecture and recommend enhancements for complex AI features and experiences on Snapdragon Mobile products.
- Research requirements cross-functionally and develop hands-on prototypes.
- Architect on-device agentic experiences involving context, memory, perception, sensor fusion, and heterogeneous CPU/GPU/NPU compute placement.
- Design closed-loop telemetry-driven scheduling and resource allocation for concurrent AI workloads under power, thermal, memory, and SLA constraints.
- Design LLM/SLM model-state and memory lifecycle management, including KV-cache handling, caching, paging, eviction, and state reuse.
- Evaluate memory bandwidth, interconnects, and data movement to improve AI throughput and efficiency on constrained silicon.
- Serve as a technical expert in design reviews, solution commercialization, industry trends, and product technology roadmaps.
- Influence external partners and align stakeholders on subsystem implementation plans and milestones.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field and 8+ years of relevant engineering experience; alternatively, a master's degree with 7+ years or a PhD with 6+ years.
- 10+ years of high-performance computing systems engineering or software experience with 5+ years in AI system optimization is listed as a preferred qualification.
- Extensive experience with mobile software architecture and deployment, system performance optimization, benchmarking, and CPU/GPU/NPU performance analysis.
- Experience with embedded ML, model deployment, scheduling, lifecycle management, and resource-constrained mobile or embedded platforms.
- Experience architecting heterogeneous or multiprocessor systems and runtime placement of ML or agentic workloads.
- Experience with LLMs/SLMs, agentic AI architectures, context and memory management, KV-cache and model-state management, and on-device personalization.
- Understanding of AI frameworks, AI hardware acceleration, memory subsystems, interconnect bandwidth, and performance or power modeling.
- Knowledge of computer vision, audio, generative AI, mobile platforms, Android, and embedded system implementations.
- Strong algorithm development, profiling, debugging, software engineering, communication, leadership, and strategic problem-solving skills.
- Proficiency in C, C++, and Python; TypeScript, Java, and Kotlin are additional pluses.
- Master's or PhD in Computer Science or Electrical Engineering is preferred.
Benefits
- Annual pay range of $234,800.00-$352,200.00, plus a discretionary annual bonus program and potential annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
- Qualcomm is an equal opportunity employer and provides reasonable disability accommodations during the application and hiring process.
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About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.