The Job

Associate Engineer

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In short

Qualcomm is hiring an Associate Engineer focused on AI/ML performance. This role involves analyzing and optimizing AI workloads across NPUs and GPUs, focusing on inference performance, latency, and power efficiency. The position requires a Bachelor's degree and experience with embedded software, system performance, and machine learning fundamentals.

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.

Requirements

  • Bachelor's degree in Computer Science Engineering, Information Systems, or related field.
  • 1+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • Good software development skills with exposure to AI coding tools.
  • 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.
#AI/ML#Performance Engineering#SoC#NPU#GPU#Deep Learning#Inference#Latency#Throughput#Power Efficiency#Embedded Software#System Performance#Neural Accelerators#Architecture#Compiler#Runtime#Frameworks
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Company

Qualcomm

Job Posted

1 week ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Entry

Locations

Bengaluru, India

Qualification

Bachelor

Applicants

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