About this role
Summary: Develop and optimize machine learning frameworks, compilers, and high-performance code for Qualcomm's SOCs. The role involves researching, designing, and implementing components for deep learning solutions across data centers, edge, and automotive markets, requiring strong collaboration with hardware and software te...
Company:
Qualcomm France S.A.R.L.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Qualcomm is a company of inventors that unlocked 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. We are investing in several supporting technologies including 4G, 5G, Edge Computing, and Deep Learning.
The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond. We are seeking ambitious, bright and innovative engineers with experience in Machine learning frameworks, compiler technology, vectorization and optimization, Programming in Memory and machine learning toolchains.
Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must.
We are looking to staff engineers at multiple levels in systems & software, integration and test. Details of one of the roles we are looking to staff are listed below.
Responsibilities:
- Research, design, develop, enhance, and implement the different components of machine learning framework, compilers based on performance and code-size needs of the customer workloads and benchmarks.
- Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
- Analyze and identify system level integration issues, interface with the software development, integration and test teams.
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
- 4+ years Systems Engineering or related work experience.
Preferred Qualifications
- Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
- Has experience in model level optimization using techniques like torch compile.
- LLVM or any industrial strength compiler development experience is a plus.
- Knowledge of the structure and function of the compiler internals.
- Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus.
- Hands-on experience implementing DSP Kernels a plus
- Hands-on Experience in C/C++, Python development (3+ years)
- Hands-on Experience with Object Orientated Design, TDD development solutions such as GoogleTest etc. (3+ years)
- Experience with Source Code and Configuration management tools, git knowledge is required
- Willingness to work in a cohesive software development environment with ability to work on low level implementation (code & test) and interfacing with hardware and simulators
- Experience in neural network architectures + ML compiler workload synthesis, a plus
- Experience in Programming in memory is a plus.
- Prior working experience of hardware accelerators and hardware software co-design
- Experience in using C++ 14/17 (advanced features)
- Experience at both the firmware (RTOS) and system level (Linux) in SOC
- Experience of profiling software and optimization techniques
- Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
\*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
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](https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028). 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).
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If you would like more information about this role, please contact [Qualcomm Careers](http://www.qualcomm.com/contact/corporate).