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Lead Engineer, Senior

Qualcomm · Bengaluru, Karnataka, India

8–16 yrs experiencefull_timePosted 3 days ago
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Job description

General Summary You will join the CRD software team focused on definition and implementation of the overall testing strategy for a new machine learning program. This will include defining test for software/firmware features, enable automated executing and reporting, analysis of bugs and system level testing using popular ML frameworks such as PyTorch, Caffe2, TensorFlow and others. You will work closely with development and architecture team to understand accelerator features and define test plans and solutions needed to deliver production grade software/firmware to the end customer. You will be collaborating with a variety of internal teams within CRD as well as with Qualcomm's commercial division (QCT) covering multiple engineering disciplines including software, systems and hardware. The successful applicant should have a diverse skill set and a strong background in testing and automation strategies. Required Skills and Aptitudes - Proficiency with scripting languages Python, Shell Scripting and OOP concepts. - Well-versed with firmware (RTOS) and system-level (Linux) in SOC and/or Server solutions - Experience in working with Linux Operating system C++ Programming Language - Experience in bringing up embedded platforms for customers and internal engg releases - Experience with test-driven development solutions like GoogleTest - Experience working in AI hardware accelerators, platform software testing is a plus - Experience defining tests plans/strategy and test automation solutions - Strong debugging and analysis skills, for root causing complex issues - Willingness to work in a high-caliber mixed software/firmware development team Desirable Skills and Aptitudes - Understanding of machine learning concepts and neural network architectures - Experience with Lauterbach/T32 its programming language Practice - Understanding of key metrics needed for qualifying platform stability for customers - Experience working on LLMs, AI Inference platforms is a plus Minimum Qualifications - 7+ years experience in embedded platform test and design - Bachelors or Masters in computer science or Electronics Communication (or equivalent) Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Test Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Test Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Test Engineering or related work experience. 2+ years of work or academic experience with Software Test or System Test, developing and automating test plans and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).