Engineer, Principal

Qualcomm; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Qualcomm is looking for innovative engineers to join our Cloud Computing team in Bengaluru. The role focuses on developing hardware and software for Machine Learning solutions while optimizing key Deep Learning models and frameworks. Candidates should have significant experience in software engineering, specifically in C++, Python, and deep learning tools like Pytorch and TensorFlow.

The environment is dynamic, requiring excellent communication and problem-solving skills, along with a strong foundation in mathematical modeling. A Bachelor's degree or higher in a relevant field, along with significant industry experience, is essential.

Qualifications

• 10+ years Software Engineering or related work experience.
• Strong foundation in linear algebra and mathematical modeling.
• Deep understanding of ML/AI algorithms.

Responsibilities

• Analyze software requirements and implement solutions.
• Lead high-performing teams in Machine Learning software engineering.
• Optimize Deep Learning models.

Skills

Deep Learning experience or knowledge – LLMs, Natural Language Processing

Excellent C/C++/Python programming

Strong mathematical modeling and algorithms knowledge

Experience in using C++ 14

Education

Bachelor's / Masters/ PhD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science

Tools

Pytorch

TensorFlow

CUDA

CUDNN

Job description

Company: Qualcomm India Private Limited

Job Area: Engineering Group, Engineering Group > Software Engineering

General Summary

Job Overview: The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must.

Key Responsibilities

• Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
• Analyze and identify system level issues, interface with the software development, integration, and test teams.
• Lead high performing teams towards system design and deliverables.
• Proven track record of leading teams in Machine learning software engineering.
• Strong foundation of mathematical modeling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space.
• Improve and optimize key Deep Learning models on Qualcomm AI 100.
• Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.
• Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning.
• Build software tools and ecosystem around AI SW Stack.
• Work on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
• Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.
• Optimize the entire deep learning pipeline including graph compiler integration.
• Apply knowledge of software engineering best practices.

Desirable Skills and Aptitudes

• Deep Learning experience or knowledge – LLMs, Natural Language Processing, Vision, Audio, Recommendation systems.
• Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks.
• Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
• Ability to work independently, define requirements and scope, and lead your own development effort.
• Well versed with open-source development practices.
• Strong developer with a research mindset – strives to innovate.
• Avid problem solver – should be able to find solutions to key engineering and domain problems.
• Knowledge of tiling and scheduling a Machine learning operator is a plus.
• Experience in using C++ 14 (advanced features).
• Experience of profiling software and optimization techniques.
• Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus.
• Experience of ML compiler, Auto-code generation (using MLIR) is a plus.
• Experiences to run workloads on large scale heterogeneous clusters is a plus.
• Hands-on experience with CUDA, CUDNN is a plus.

Qualifications

• Bachelor's / Masters/ PhD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
• 10+ years Software Engineering or related work experience.
• 10+ years’ experience with Programming Language such as C++, Python.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience.
• PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
• 4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Equal Opportunity and Accessibility

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.