Staff Engineer - AISW

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

Job summary

Qualcomm India Private Limited is seeking a Systems Engineer to lead the design and implementation of AI/ML solutions across various domains. The role involves collaborating with cross-functional teams and mentoring junior engineers.

Candidates should possess a degree in Engineering or Computer Science and have experience with software architecture, programming languages, and multiple AI/ML frameworks. Strong development skills in C++/Python are preferred. Join Qualcomm to be a part of innovative technology development.

Qualifications

• 4+ years of software engineering experience with a Bachelor's degree.
• 3+ years of software engineering experience with a Master's degree.
• 2+ years of software engineering experience with a PhD.
• Experience with software architecture and programming languages.

Responsibilities

• Lead design and implementation of AI/ML solutions.
• Collaborate with teams for integration of AI components.
• Mentor junior engineers and provide networking opportunities.
• Optimize AI models for performance and accuracy.
• Conduct research on industry trends in AI/ML.

Skills

C++/Python development skills

Data structures and algorithms

Deep learning frameworks expertise

Quantization techniques

Analytical and debugging skills

Education

Bachelor's degree in Engineering/Computer Science

Master's degree in Engineering/Computer Science

PhD in Engineering/Computer Science

Tools

PyTorch

TensorFlow

ONNX

Job description

Company: Qualcomm India Private Limited

Job Area: Engineering Group, Software Engineering

Overview

Qualcomm is a leading technology innovator. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems‑level software, hardware, architecture, algorithms, and solutions that enable the development of cutting‑edge technology. You will collaborate across functional teams to meet and exceed system‑level requirements and standards.

Key Responsibilities

• Lead the design, development, and implementation of AI/ML solutions across multiple domains.
• Collaborate with cross‑functional teams to ensure seamless integration of AI/ML components within the broader framework.
• Mentor and coach junior engineers, providing development experiences and networking opportunities.
• Address and resolve issues related to AI models optimization, ensuring high performance and accuracy of AI models.
• Conduct research on industry trends and innovations in AI/ML to adopt best practices in solutions and deliverables.
• Develop and optimize quantization techniques for AI/ML models, ensuring efficient execution on Qualcomm hardware.
• Manage project timelines, objectives, and goals, ensuring efficient use of resources across functional areas.

Minimum Qualifications

• Bachelor's degree in Engineering, Computer Science, or related field with 4+ years of software engineering experience.
• Master's degree in Engineering, Computer Science, or related field with 3+ years of software engineering experience.
• PhD in Engineering, Computer Science, or related field with 2+ years of software engineering experience.
• Experience with software architecture and programming languages.
• Experience with tools and frameworks such as PyTorch, TensorFlow, ONNX, and others.

Preferred Qualifications

• Excellent development skills in C++/Python.
• Proficient in data structures and algorithms.
• Hands‑on expertise in deep learning frameworks such as ONNX and PyTorch.
• In‑depth knowledge of state‑of‑the‑art CV, NLP, LLM, GenAI, classification and object detection model architectures.
• Good understanding of quantization (8-bit, 4-bit) and calibration algorithms.
• Good understanding of machine learning compiler techniques and graph optimizations.
• Good understanding of software design patterns and design philosophies (SOLID principles, design patterns).
• Excellent analytical, development, and debugging skills.
• Knowledge of machine learning compilers (TVM, Glow) is a plus.
• Knowledge of machine learning runtimes such as ONNX Runtime and TensorFlow runtimes is a plus.

Equal Opportunity Employer

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need accommodations during the application process, contact Qualcomm’s disability accommodations email at [e-mail].