Remote Work: No
Overview:
At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer's and partner's needs and solve their challenges.
Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve.
You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about - locally and globally. We've only begun reimaging the future - for our people, our customers, and the world.
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The Computer Vision Software Developer I will work on Computer Vision projects turning Zebra's core algorithms from prototypes to high quality product ready code. The developer will design and implement strategies for optimizing computer vision algorithms for different hardware architectures(e.g. x86, GPU, multi-core ARM CPU, DSP) based on performance, power and size constraints.Work is evaluated upon completion to ensure objectives have been met.
Responsibilities:
- Development of turning prototyped computer vision algorithms into high quality product ready code
- Learns to design and provide strategies for optimizing computer vision algorithms for different embedded system and mobile devices
- Participate and provide input in project code reviews
- Receive detailed instructions to routine work, new projects or assignments
- Design and/or review architected modules and software systems supporting new technology or improving capability/performance of existing functionality
- Take responsibility for communicating with different engineers (embedded systems, backend server, computer vision) to continuously improve and optimize implemented algorithms
- Create automated software tests and provide support to trouble shoot software issues when needed
- Documentation of software architecture
Qualifications:
- Bachelor in Computer Engineering/Computer Science (preferably with specialization in computer vision and machine learning);
- 0-2 years work experience
- Basic understanding of computer vision; key areas of interest include at least 1 of the following: object detection, tracking and recognition, multiple view geometry, OCR detection, camera calibrations, 3D data processing, SfM/SLAM, activity recognition
- Optimization experience on embedded GPU orDSP platforms: Nvidia, ARM
- Parallelized & vectorized computation
- Optional: Solid GPU programming experience using CUDA or Open CL
- GoodC, C++11 and above programming skills
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