Company:Qualcomm Technologies, Inc.
Job Area:Engineering Group, Engineering Group > Machine Learning Engineering
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.
Qualcomm’s Multimedia R&D and Standards Group is seeking candidates for its Computer Vision team in San Diego, CA. The team develops algorithms, hardware architectures and systems for AR/VR in areas such as Visual Odometry, SLAM, Hand and Body Pose Tracking, 3D Scene Understanding etc. We are seeking candidates with strong knowledge and hands-on experience in systems architecture and hardware development in one or more of the above-mentioned areas and the work should lead to a power efficient dedicated hardware accelerator design for these functions. Knowledge of fundamental algorithms and experience in developing real time computer vision systems in these areas is desirable. Working knowledge of problem solving of computer vision tasks using neural network processing is also a plus for this position.Responsibilities:The selected candidate will have responsibilities in one or more of the following areas: • Work with other leads on technology development and systems/hardware design of AR/VR related computer vision functions. • Study state of art algorithms and work on hardware/software partitioning of the algorithms and provide architecture and specifications for hardware implementation. • Come up with adaptations of existing algorithms to make them amenable for power efficient hardware implementation. This work will involve close collaborations with algorithm developers, SoC architects and designers to drive to hardware development that will enable novel AR/VR experiences with state-of-the-art advances in performance, power and silicon area.• Systems and hardware architecture development will span conventional computer vision frameworks as well as neural network-based frameworks for the enablement of AR/VR experiences.
Ideal candidate would have the below skills
+ Working knowledge of computer vision tasks in AR/VR including one or more of these areas: Visual Odometry, SLAM, 3D Scene understanding, Feature and Object Tracking, Hand and Body Pose Estimation.
+ Expertise in methods for partitioning a solution across hardware and software within an overall systems solution.
+ Expertise in systems architecture and high-level hardware design leading to real time implementation in dedicated hardware accelerator.
+ Experience in evaluating system and hardware block level architecture tradeoffs in throughput, latency, power and area.
+ Excellent verbal and written communication and presentation skills.
+ Programming skills in C/C++, Python and experience with hands-on coding for the purpose of collaborating with HW designers to adopt the proposed systems architecture in a hardware accelerator.
+ Master’s degree in Electrical Engineering or Computer Science with significant systems and hardware design topics related coursework.
+ Have multiple years of industry experience developing systems and hardware level solutions in computer vision area specific to AR/VR tasks such as Head, Hand and Body Pose Estimation. SLAM, 3D Scene Understanding, 3D Object Tracking etc.
+ Have deep domain knowledge in terms of algorithms and/or systems/hardware solutions for above-mentioned tasks.
+ Experience with top-down high-level model to HW mapping and developing the architecture for hardware acceleration of AR/VR is a plus.
+ Knowledge and experience in hardware design using RTL or High level synthesis tools (HLS) is preferred.
+ Results oriented, self-motivated, proactive and have demonstrated creative and critical thinking skills and being able to operate with minimum high-level direction.
+ PhD degree in Electrical Engineering or Computer Science with emphasis in Systems architecture and hardware development for real time systems in computer vision and/or AR/VR areas.
+ Frequently transports between offices, buildings and campuses up to ½ mile.
+ Frequently transports and install equipment up to 5 lbs.
+ Performs required tasks at various heights (e.g. standing or sitting).
+ Monitors and utilizes computers and test equipment for more than 6 hours a day.
+ Continuous communication which includes the comprehension of information with colleagues, customers and vendors both in person and remotely.
Bachelors – Computer Science, Bachelors – Engineering, Bachelors – Information Systems
2+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Masters – Computer Science, Masters – Engineering, Masters – Information Systems
2+ years experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++). ,1+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware ,2+ years experience using statistics and probability (e.g., conditional probability, Bayes rule) ,2+ years experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media). ,2+ years experience with Machine Learning frameworks (e.g.,Tensor Flow, Caffe, Caffe 2, Pytorch, Keras) ,1+ years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). ,2+ years of experience working in a large matrixed organization.
AI Frameworks, Calculus, Data Manipulation, Deep Learning, Machine Learning, Performance Optimization, Python, Statistics
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Who is Qualcomm, and what do we do? We are engineers, scientists and business strategists. We are from many different countries and speak many different languages. We come from diverse cultures and have unique perspectives. Together, we focus on a single goal—invent mobile technology breakthroughs.