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Qualcomm
Engineer, Senior-AI and Machine Learning with embedded/C++
Qualcomm
Hyderabad•On-site•9-12 Yrs•Jun 24
Job description
Overview
Qualcomm India Private Limited
Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
- 2+ years of
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
- These positions are strictly for AI/ML inference SDK development on embedded systems — not Applied AI, Data Science, or ML model training roles.
- Strong Embedded experience is mandatory.
- Job location: Hyderabad
- Master’s/bachelor’s degree in computer science or equivalent.
- 9- 15 years of relevant
- in software development. (We have openings at multiple levels)
- Strong in C++ programming, Design Patterns and OS concepts.
- Strong in C/C++ programming, Design Patterns and OS concepts.
- Understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.)
- Floating-point, Fixed-point representations and Quantization concepts.
- Excellent analytical and debugging skills.
- Good communication skills (verbal, presentation, written).
- Ability to collaborate across a globally diverse team and multiple interests.
- Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
- If you would like more information about this role, please contact Qualcomm Careers.
Nice to have
- Strong understanding of SIMD processor architecture and system design.
- Proficiency in object-oriented software development and familiarity
- Familiarity with Linux and Windows environment
- Strong background in kernel development for SIMD architectures.
- Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus.
- Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred.