Qualcomm India Private Limited
Engineering Group, Engineering Group > Systems 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 Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Job Overview:
Qualcomm IE-IOT AI team is looking for hands on , passionate engineers for cutting edge AI deployment. Snapdragon chipset utilizes its powerful micro-processor, GPU, NPU and DSP to provide state-of-art platforms that enables advanced AI use cases. From state of art LLMs, to small CV based AI network or Robotic VLAs this group takes care of variety of AI model deployment and optimization.
The candidate will be responsible for evaluating, developing, and optimizing cutting edge machine learning and deep learning algorithms, and IoT Gen AI and Vision AI enabled use cases on device.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, Electronic Engineering, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical Engineering, Electronic Engineering, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Computer Science, Electrical Engineering, Electronic Engineering, or related field.
Responsibilities:
- Analysis and optimization of AI/ML models on various classes on Hexagon NPU
- Development of AI inference frameworks and runtimes for Hexagon NPU and DSP architectures
- Implementation and optimization of deep learning operators on SIMD/VLIW NPU or DSP architectures
- Understand benefit/drawback of various quantization schemes, use internal tool chains to control loading, execution, and scheduling of various models
- Perform system level analysis of concurrent ML model execution and daisy chaining ML models including Vision AI, Gen AI and VLA models
- Good understanding and hands-on experience with AI Model Quantization, Graph Optimizations, Graph Transformations
PREFERRED QUALIFICATIONS
- Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field.
- 6+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- 3+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- Masters in Imaging/Color Engineering and/or Electrical Engineering, and/or related field
- Prior experience with high performance embedded programming preferred
- Hands-on knowledge of TensorFlow, TFLite, Pytorch, ONNX
- Proficiency in Machine Learning and Data Modeling, especially image/video related data
- Proficiency in Natural Language Processing is a plus
- Knowledge and experience of embedded systems with assembly/C/C++ programming
- Good understanding of system on chip micro-architecture
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 [email protected] 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 in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .
