Lead Engineer, Senior-Machine learning

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:

1. Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
2. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
3. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
4. 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc.

Posting Title: ML - Performance Optimization Engineer Job Overview: Join a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities and engineers them to allow the running of trained neural networks on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of mobile devices around the world. In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE)/Android Neural Network framework on Qualcomm SoCs. You would be porting ML solutions to various platforms involving different compiler toolchains and enable the product to work on upcoming chipsets, optimize the performance for benchmarking on multiple hardware accelerators (like CPU/GPU/DSP). You will have expert knowledge of debugging, improving, and maintaining cross-platform compilation, linkage, build system and deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast pace development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint. Minimum Qualifications:

1. Live and breathe quality software development with excellent analytical and debugging skills.
2. Experience in analysis and optimizations of KPIs like Performance, Power, Thermal, Memory, etc.
3. Experience with embedded systems development or equivalent.
4. Good understanding of software development and debugging in embedded environments.
5. Good development skills in C/C++, Python.
6. Well versed in version control tools like git.
7. Excellent communication skills (verbal, presentation, written), ability to represent complex data in a well-organized manner.
8. Ability to collaborate across a globally diverse team and multiple interests.

Preferred Qualifications:

1. Experience with Core, DCVS and System Level analysis of CPU, GPU, DSP and other accelerators will be a big plus.
2. Understanding of Machine Learning and Deep Learning fundamentals.
3. Good understanding about Processor architecture, system design fundamentals.
4. Experience with machine learning accelerators or GPU/DSP development, optimizing algorithms for hardware acceleration cores using OpenCL, DSPs and/or ML specific cores.
5. Experience with SW optimizations for custom SOCs/Accelerators, SIMD, vectorization.
6. Hands-on experience with System Level Performance tools like Systrace, Perfetto, Snapdragon Profiler, etc.
7. Experience with ML application development or any benchmarking framework like MLPerf, AITUTU etc.
8. Experience with any machine learning framework like TensorFlow, Caffe, Pytorch, etc.
9. Background in mathematical operations: linear algebra, fast math libraries.

Work Experience:

• 5-7 years of relevant work experience in software development and optimizations.

Educational Requirements: Bachelor's/Master’s in Computer Science, Computer Engineering, or Electrical Engineering. Level of Responsibility:

1. Works independently with minimal supervision.
2. Decision-making may affect work beyond immediate work group.
3. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
4. Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

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 to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. 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. #J-18808-Ljbffr