Engineer, Lead Senior

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software 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 Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum 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.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

ML Software Developer in Test (SDET)

As a hands-on ML Validation and Automation Engineer, you will be responsible for improving efficiency of and approach to benchmark Qualcomm AI Accelerator.

Working backwards from customer needs, you will identify the right sets of tools to build to achieve the best quality and customer experience.

You will participate and sometimes lead automation efforts for critical and complex project requirements.

You will be responsible for driving improvements in validation tools, environments and reporting mechanisms as well as influence the implementation of the right solutions.

As a member of the APPS engineering team, you will own the vision for validation infrastructures, build automation frameworks that allow developers to easily write reliable tests, and invent new, mechanisms for ensuring that every change we make can be deployed safely and quickly.

The ideal candidate for this role has a strong track record and proficiency in building efficient and innovative benchmarking and automation tools for ML and AI Systems.

They are a logical problem-solver with high judgment who brings an experienced perspective to balance quality and strategy trade-offs to meet the needs of the AI Inferencing Team

They have specialized knowledge analyzing test procedures, inspecting architectures, and developing test infrastructure and tools that provide high confidence in product quality.

Responsibilities:

• 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
• 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 (OD, CV, NLP, Transformers etc.)
• Ensure ML features are planned, validated, and automated as per release and customer requirements.
• Development and execution of test plans, monitoring and reporting on test execution and quality metrics. Debug feature and unit/system level defects
• Strong hands-on automation skills to enable onboarding of automated features into the test framework.

Basic Qualifications

• Bachelor’s degree in computer science or related field experience

• 7+ years relevant work experience
• Hands on experience in at least, one or more modern programming language such as Python (mandatory), Shell, C++
• Strong experience in various software technologies, methodologies, and applied software engineering practices/standards such as Object-Oriented Design (OOD), cloud and embedded software test automation

Preferred Qualifications

• Excellent programming skills in one or more programming languages (Python, Bash, C++)
• Hands-on experience in API testing & developing automation scripts for Embedded/IOT Platforms
• Hands-on experience in benchmarking and optimizing Deep Learning Models on AI Accelerators/GPUs
• Familiarity with AI frameworks models performance, quantization, and accuracy metrics
• Experience with ML frameworks such as PyTorch, Caffe2, Tensor flow etc and HW accelerators
• A deep understanding of automation framework design and experience in writing automation scripts/programs that will aid in automated validation.

Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to 

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found

for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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

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