Qualcomm Recruitment Program 2026 | Hiring Associate Engineer – Apply Now!

Qualifications

Minimum Qualifications:

Bachelor’s degree in Computer Science Engineering, Information Systems, or related field and 1+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Skills:

• Good at software development with exposure to AI coding tools and excellent analytical, development, and problem-solving skills.
• Experience in embedded software (Linux,Android,RTOS)
• Experience in system performance domain with focus on neural accelerators and GPU
• Knowledge on CPU, NPU,GPU,  NOC , DDR architecture
• Strong understanding of Machine Learning fundamentals
• Knowledge  in neural network quantization, compression, pruning algorithms, deep learning kernel/compiler optimization
• Strong communication skills

Principal Duties and Responsibilities:

• Analyze and optimize AI/ML workload performance on NSP, NPU, and GPU across single and multi‑accelerator systems.
• Identify bottlenecks across compute, memory bandwidth/latency, NoC, DMA, SMMU, and scheduling.
• Drive optimizations for latency‑critical inference, high‑throughput pipelines, and concurrent multi‑VM execution.
• Perform roofline, utilization, and memory access pattern analysis using hardware counters.
• Benchmark and optimize CNNs, Transformers, VLMs, and diffusion models for real‑world and customer use cases.
• Optimize model execution using operator fusion, graph partitioning, quantization, mixed precision, tiling, and batching.
• Collaborate with system software teams on drivers, runtimes, memory allocation, power, thermal, and QoS constraints.
• Analyze performance under concurrent, virtualized, and safety‑critical or real‑time environments.
• Build and use benchmarks, micro‑benchmarks, profilers, and regression tools to derive actionable insights.
• Partner with architecture, compiler, SDK, and AI framework teams to influence HW/SW design and resolve performance escalations.