Engineer, Staff/Manager
Qualcomm
Bengaluru, Karnataka, India
Posted on May 30, 2025
Company
Qualcomm India Private Limited
Job Area
Engineering Group, Engineering Group > Systems Test Engineering
General Summary
Cloud Data center( ML Test and Automation Engineer Lead), highly skilled and knowledgeable ML/DL/LLM model and its architectures to benchmark in Qualcomm AI Accelerator. Bring to the table the various State of Art techniques , market trends and proactively working for understanding the customer needs to identify the right sets of tools/metrics to achieve the best quality and customer experience for cloud Data centers . Drive the team with technical Leadership.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Test Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Test Engineering or related work experience.
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 disability-accomodations@qualcomm.com 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.
3076049
Qualcomm India Private Limited
Job Area
Engineering Group, Engineering Group > Systems Test Engineering
General Summary
Cloud Data center( ML Test and Automation Engineer Lead), highly skilled and knowledgeable ML/DL/LLM model and its architectures to benchmark in Qualcomm AI Accelerator. Bring to the table the various State of Art techniques , market trends and proactively working for understanding the customer needs to identify the right sets of tools/metrics to achieve the best quality and customer experience for cloud Data centers . Drive the team with technical Leadership.
- Basic Qualifications:
- Masters or Bachelor’s degree in Computer science , Machine learning/AI or related field experience
- 11 + years relevant work experience
- Strong knowledge and hands-on experience in ML/DL/LLMs and understanding of various metrics of performance and accuracy used measure the AI Data center serving ( like Artificial analysis.ai)
- Strong in Python programming and good problem-solving skills.
- Preferred Qualifications:
- Excellent programming skills in one or more programming languages (Python, Bash)
- Good knowledge on the
- Ability to define and recommend System test methodologies , metrics to benchmark Qualcomm AI Accelerator
- Hands-on experience in benchmarking and optimizing Deep Learning Models on AI Accelerators/GPUs
- Good work experience with AI frameworks models performance, quantization, and accuracy metrics
- Hands-on experience in API testing & developing automation scripts for Embedded/IOT Platforms
- Responsibilities:
- Providing System test recommendations for AI Inference Accelerator Cards
- Understanding how all elements of the ML software ecosystem work together and developing QA approaches/frameworks that fit the overall strategy.
- Responsible for development of validation strategies and creation of appropriate ML test harnesses for AI Inference Accelerator Cards
- Strong debugging and analysis skills, for root causing complex issues
- Providing test infrastructure to enable engineering teams to test and deliver functional/performance metrics for language models.
- Performance and Accuracy benchmarking of Deep Learning models (LLM,OD, CV, NLP, Transformers etc.)
- Ensure ML features are planned, validated, and automated as per release and customer requirements.
- Strong hands-on automation skills to enable onboarding of automated features into the test framework.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Test Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Test Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Test Engineering or related work experience.
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 disability-accomodations@qualcomm.com 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.
3076049