Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Job Title: AI/ML performance engineer

Experience: 1-2 years

Role overview

We are seeking a AI/ML Performance Engineer to drive performance analysis, optimization, and validation of AI workloads across Neural Processing Units (NPU),and GPUs in complex SoC platforms with a robust background in the field of deep learning (DL) to validate the performance of  state-of-the-art low-level perception (LLP) as well as end-to-end AD models. The role focuses on AI/ML inference performance, latency, throughput, power efficiency, and system‑level integration, working closely with architecture, compiler, runtime, and framework teams.  This position requires deep understanding of AI accelerator micro‑architecture, ML models, and end‑to‑end software stacks spanning drivers, runtimes, compilers, and frameworks.

Strong communication and interpersonal skills are required, and the candidate must be able to work effectively with various horizontal AI teams.

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.

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Applicants

: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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