Lead Senior Engineer, XR ML systems
Description For Lead Senior Engineer, XR ML systems
Qualcomm XR Research India is expanding its team to develop cutting-edge XR (Augmented Reality, Virtual Reality, and Mixed Reality) solutions. As a Lead Senior Engineer in the XR ML systems team, you'll work on optimizing XR workloads across different compute devices within the Qualcomm ecosystem. The role requires expertise in AI/ML/DL with significant industrial experience in analyzing AI workflows and optimizing algorithms for embedded platforms. You'll be responsible for implementing state-of-the-art AI algorithms, building prototypes, and performing system-level analysis of CV/AI/ML use cases. The position offers opportunities to work with cutting-edge technology, alongside industry experts, while contributing to innovative XR solutions. Qualcomm provides comprehensive benefits, professional development opportunities, and a collaborative work environment focused on pushing the boundaries of technology.
Responsibilities For Lead Senior Engineer, XR ML systems
- Comprehend and implement SOTA AI algorithms on Linux PC and migrate to Qualcomm HW
- Build prototypes of XR use-cases using AI/ML/DL algorithms in Python and C++
- Perform system level analysis of CV/AI/ML usecases and workloads
- Work with Qualcomm ML tools like SNPE, QNN SDK and AIMET
- Deliver high quality results and meet project timelines
- Communicate progress to stakeholders and implement feedback
Requirements For Lead Senior Engineer, XR ML systems
- Master's degree in electrical engineering, information systems, computer science, or related field
- 4+ years of hands-on experience with ML models on embedded platforms
- Proficiency in transformer-based DL algorithms
- Strong skills in Python, C and C++
- Experience with PyTorch, ONNX and Tensorflow
- Strong communication and inter-personal skills
Benefits For Lead Senior Engineer, XR ML systems
- World-class health coverage for employees and dependents
- Financial planning and future security programs
- Mental health and emotional support resources
- Comprehensive wellbeing programs
- Continuous learning and development programs
- Tuition reimbursement
- Mentorship opportunities
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