Software Engineering Manager, Video Analytics - Chicago, United States - Karkidi

Description

We are seeking an active, hands-on, Software Engineering Manager who is passionate about the successful deployment of commercial systems employing deep learning and computer vision.

Responsibilities:
Develop production quality software for real-time multi-core embedded Linux devices
Drive the design and implementation of sophisticated scalable multi-threaded Object Oriented Software in C++ following modern C++ design patterns
Lead a team of 4 or more embedded software engineers
Develop processes and metrics to ensure the team is writing quality code, operating efficiently, and productively
Collaborate with our Research team in implementing computer vision and machine learning apps on hardware
Contribute to algorithm and system optimizations to ensure real time performance
Author detailed design documents about our software architectures, algorithms, and interfaces
Maintain and improve firmware build systems using CMake, Docker, and Python
Work with Quality Assurance team on specifying test cases for new features and areas for regression tests
Review code of peers for adherence to coding standards and design guidelines
Mentor and foster career growth of individuals on your team
Contribute to the CICD testing pipeline employed to maintain a trusted mainline and streamline application feature development.

Qualifications:
Bachelor or Master of Science degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Math, or Physics
4+ years of experience professionally writing production quality C++ code on Linux OS based embedded systems
2+ years technical management experience, leading teams consisting of three or more using Agile methodologies.
Expert troubleshooting and debugging skills on embedded systems.
Skilled at optimization from various levels, system, algorithm, and code.
Excellent written and oral communications skills
Working user knowledge of networking protocols DHCP, SSH, DNS, SCP, SSH, Wi-Fi, Bluetooth, etc used with embedded systems
Working knowledge of CI/CD pipelines and Git or other version control software.
Highly organized, detail oriented, passionate, creative, and curious
Experience in communicating with technical and non-technical stakeholders across all levels of the organization.
Ability to thrive in an autonomous, empowering, and exciting environment.
Preference will be given to candidates with the following skills and experience:
Experience integrating Machine Learning Deep learning and/or Computer Vision algorithms (OpenCV) on embedded hardware
Experience with embedded video systems
Experience with Azure and/or GITHUB actions, DevOps
OpenCV programming experience

Note:
Candidate must reside on the East Coast.
Basic Requirements
Bachelor's Degree with 8+ years of professional experience
AND 3+ years of experience professionally writing production quality C++ code
Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
No

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