Software Engineering Manager, Video Analytics (EAST COAST REMOTE )

Key Skills

Azure, C++, Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, Deep Learning, DevOps, Effective communication skills, Github, Linux Operating system, Machine learning techniques, OpenCV

Job 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