#Senior Embedded Software Engineer, Cloud Edge and Data Center Machine Learning

Qualcomm - San Diego, CA

Hiring: #Senior Embedded Software Engineer, Cloud Edge and Data Center Machine Learning Company: Qualcomm Location: San Diego, CA Job Posted Time: 2026-09-12 13:59:36 Target Skills & Keywords : Accessibility, C, C++, Configuration Management, Embedded Systems, Firmware, Git, Java, Linux, Machine Learning, PyTorch, Python, RTOS, SOC, Unit Testing, iOS About the job Experience: •2+ years of Software Engineering or related work experience. •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. •2+ years of work experience with low level C programming Qualifications: •Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. •OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. •PhD in Engineering, Information Systems, Computer Science, or related field. •Proficient with development in C including debug and testing, preferably using GNU/LLVM tools, on embedded platforms using stop-mode debug tools such as JTAG/SWD •Skilled with BSP development including device driver development, board bring-up, RTOS, secure boot design & TrustZone architecture •Proficient with unit testing for C development •Adept with RTOS fundamentals, SoC architecture, common hardware blocks and multi-threaded programming •Demonstrated capacity to work in a structured software development environment while contributing to novel designs •Have willingness and flexibility to work as part of a high-caliber international/multi-site team •Demonstrate excellent English communication skills (written and verbal) and positive interpersonal skills Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!