Lead Engineer, Senior -Dev Test,Python, AI
Qualcomm
- Location
- Hyderabad, Telangāna, India
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 22 approvals (FY2023)
- Posted
- 1d ago
Skills
About this role
Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. More details below: Join the growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of trained neural networks on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Seeing your work directly influences billions of devices around the world.
Responsibilities
In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) SDK on Qualcomm SoCs. You would be enabling AI/ML stack on various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU). You will have expert knowledge in deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast-paced development happening in industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint.
Requirements
Experience: More than 6 years in software, with focused Experience on LLM/Generative AI systems.
Skills
Strong Python programming with C/C++ hands on, LLM API testing experience, and familiarity with LLM providers (OpenAI, Anthropic etc). AI Knowledge: Understanding of embeddings, vector databases, and similarity search Tools: Experience with LLM evaluation frameworks and automation tools Preferred Qualifications Knowledge of Processor architecture, memory hierarchies, cache and system design fundamentals. Basic OS concepts, multithreading, synchronization, posix threads. Knowledge of object-oriented software development. Background in mathematical operations: linear algebra, fast-math libraries. Floating-point, Fixed-point representations and Quantization concepts. Knowledge of parallel computing systems and associated languages like OpenCL, CUDA, etc. is a plus. 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