Sr Engineer: LPAI Architecture and Systems Engineer

Qualcomm; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Qualcomm is seeking an experienced engineer to architect and optimize DSP and embedded NPU performance for Snapdragon platforms. Responsibilities include conducting architectural analysis, developing performance models, and collaborating closely with hardware and software teams.

The ideal candidate has a solid background in DSP architecture, proven experience in performance analysis, and strong programming skills in C/C++. A Master’s or PhD degree in a relevant field is required.

Qualifications

• Solid background in DSP architecture and low-power AI systems.
• Proven experience in performance analysis and optimization.
• Strong programming skills in Embedded C/C++.

Responsibilities

• Analyze and optimize DSP and embedded NPU performance.
• Conduct architectural analysis and benchmarking.
• Develop and validate performance models for AI workloads.

Skills

DSP architecture

low-power AI systems

performance analysis

Embedded C/C++

real-time operating systems

communication skills

Education

Master's or PhD in Engineering or related field

Bachelor's degree in Engineering or related field

Job description

Company

Qualcomm India Private Limited

Job Area

Engineering Group > Systems Engineering

Job Overview

As part of Qualcomm’s Audio and Low-Power AI (LPAI) Architecture group, you will architect, analyze, and optimize DSP and embedded NPU (eNPU) performance across Snapdragon value-tier platforms. Your focus will be on architectural analysis, optimization, and deployment of low‑power AI solutions, enabling efficient on‑device intelligence for audio, sensors, and always‑on use cases. You will build system models, conduct performance/power trade studies, and drive architectural recommendations that scale across mobile, XR, compute, IoT, and automotive tiers.

Key Responsibilities

• Analyze, design, and optimize LPAI (Hexagon DSP, eNPU, TCM/UBUF/LLC/DDR) for performance, power, and area efficiency in value tier chipsets.
• Conduct architectural analysis and benchmarking of LPAI subsystems, identifying bottlenecks and proposing solutions for improved throughput and efficiency.
• Collaborate with hardware and software teams to define and implement enhancements in DSP/eNPU microarchitecture, memory hierarchy, and dataflow.
• Develop and validate performance models for AI workloads, including signal processing and ML inference, on embedded platforms.
• Prototype and evaluate new architectural features for LPAI, including quantization, compression, and hardware acceleration techniques.
• Support system‑level integration, performance testing, and demo prototyping for commercialization of optimized DSP/eNPU solutions.
• Work closely with cross‑functional teams to ensure successful deployment and commercialization of value tier chipset features.
• Document architectural analysis, optimization strategies, and performance results for internal and external stakeholders.

Requirements

• Solid background in DSP architecture, embedded NPU design, and low‑power AI systems.
• Proven experience in performance analysis, benchmarking, and optimization of embedded processors (DSP, NPU, ARM, RISC‑V).
• Strong fundamentals of power modeling and power analysis.
• Experience working on system‑level power analysis and measurements.
• Strong programming skills in Embedded C/C++, Python familiarity with performance modeling tools.
• Experience with embedded platforms, real‑time operating systems, and hardware/software co‑design.
• Expertise in both fixed‑point and floating‑point implementation, with a focus on ML/AI workloads.
• Excellent communication, presentation, and teamwork skills; ability to work independently and across global teams.

Educational Qualifications

• Master’s or PhD degree in Engineering, Electronics and Communication, Electrical, Computer Science, or related field.

Preferred Qualifications

• Familiarity with Qualcomm DSP/eNPU architectures, SDKs, and tools.
• Experience with LPAI frameworks and design.
• Knowledge of audio or sensor signal processing frameworks is a plus.

Minimum Qualifications

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
• PhD 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 [e-mail] 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).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.