Engineer, Staff - Machine Learning

Key Skills

Aartificial intelligence, C Programming, C++, Caffe, Deep Learning, Design, Java Programming, Keras software library, Machine learning techniques, Natural Language Processing (NLP), Optimization, Python Programming, PyTorch, SoC integration, TensorFlow

Job Description

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. 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) and AI Model Efficiency Toolkit (AIMET) on Qualcomm SoCs.

You will have expert knowledge of design, improvement, and maintenance of large AI software

stacks using best practices.

Work Experience:

10-15 years of relevant work experience in software development (we have positions at multiple

levels)

Live and breathe quality software development with excellent analytical and debugging skills.

Strong understanding of Deep Learning and Machine learning theory and practice.

Experience with Deep learning model development. Data transformations, model training,

model design, model optimization.

Familiarity with various deep learning architectures and problem domains like Computer Vision,

Speech recognition, NLP etc.

Strong development skills in Python and C++. Experience with at least one machine learning

framework like TensorFlow, Caffe, Pytorch, etc.

Understanding of software development and debugging in embedded environments.

Excellent communication skills (verbal, presentation, written)

Ability to collaborate across a globally diverse team and multiple interests

Preferred Qualifications

Familiarity with neural network operators and model formats including PyTorch, ONNX, Caffe,

Caffe2, and Tensorflow.

Familiarity with neural network optimization techniques like quantization, pruning, knowledge

distillation, network architecture search, AutoML etc.

Strong understanding about embedded systems, system design fundamentals. Well versed in

version control tools like git

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

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

Experience with machine learning accelerators, optimizing algorithms for hardware acceleration

cores, working with heterogeneous or parallel computing systems

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

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 here 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.

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