Job Description
MEET THE SMART SAFETY COMPANY
At Safe Fleet our name says it all. We make fleet vehicles – and everyone in and around them – safer. Our fleet safety platform brings together best-in-class products, ground-breaking technology, and a 100-year history of fleet know-how and innovation to solve the world’s biggest fleet safety problems.
Our core value is safety. Without safety first, efficiency and productivity are not possible. This is true for our products, our culture, and our relationship with our community. Our vision is to reduce preventable deaths and injuries in and around fleet vehicles with a goal of ZERO accidents.
We are re-defining what safety means for fleets of every type – from school buses to waste collection trucks, firefighting to utility vehicles, police cruisers to delivery vans.
Whether you work in our Charlotte plant to build life-saving stop arms for school buses, or design advanced camera vision products in our Vancouver office, forge valves and high-quality nozzles to fight fires, or dream up new ways to protect fleet operators in our Corporate HQ in Kansas City, you’ll contribute to our goal to keep everyone safe.
We are a fast-growing manufacturing, service, and technology company with over 1700 employees in over 15 locations across Canada and the US. We’re looking for motivated self-starters with innovative thinking to join our team and help us achieve our growth and performance goals. Sound like you?
JOB SUMMARY
The candidate will join a team of embedded software developers that are responsible for the development of Safe Fleet’s Law Enforcement In-Car-Video (ICV) recording application used by the Focus H1 In-Car-Video platform.
The FOCUS H1 in-car video platform is a video capture and ‘edge computing’ inference engine, supporting Vehicle Intelligence-based (VI) applications in the vehicle for immediate notifications to the officers.
This team along with the broader engineering organization, QA, and other departments delivers Safe Fleet’s comprehensive Digital Evidence Capture and Management system to Law Enforcement agencies around North America.
In this role you will be influencing Safe Fleet’s Law Enforcement direction as we implement industry first features that maintain our competitive market-leading solutions.
ESSENTIAL DUTIES & RESPONSIBILITIES
- Develop applications using C/C++ language
- Design, modify, and implement software functionality from functional and system design specifications
- Code, integrate, test, debug, and refine the software to produce the required product
- Develop the software tools and subsystems to support software development, test, and manage their implementation
- Maintain the developed software efficiently through solid knowledge of software lifecycles
- Document designs in engineering documents including functional block diagrams and data/logic flow charts
- Other tasks as required
SALARY: $85,000-$100,000/yr
At Safe Fleet, we are an equal opportunity employer that is committed to creating a diverse and inclusive workplace where everyone is valued and respected. We embrace diversity and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other legally protected status. We promote fair and equitable hiring practices and foster a culture of inclusivity and respect. Our core values of integrity, innovation, teamwork, customer focus, and safety guide our efforts to provide a workplace where all employees can thrive and reach their full potential.
Requirements:
- Bachelor’s degree in Computer Science, Electrical Engineering or other related Engineering discipline.
- 5+ years of C/C++ programming using Linux and ARM cores in embedded systems
- UI design experience (Specifically with QT)
- Linux, Ubuntu distribution, desktop/server configuration experience
- Familiar with principles of integrating edge devices to Azure IOT
- Familiar with networking protocols
- Exposure to Audio Video codecs and their containers is highly desirable
- Experience with open-source video tools, specifically GStreamer and FFmpeg is desirable
- Knowledge of design patterns and ability to document design concepts
- GPU experience is desirable
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