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Robotics Engineer -C/C++/SLAM/Navigation

Remote:

Full Remote

Contract:

Full time

Experience:

Junior (1-2 years)

Work from:

United States

Offer summary

Qualifications:

5+ years in C/C++, specializing in SLAM and navigation, Bachelors or higher degree in Robotics, Engineering, or Computer Science, Experience with mobile/embedded platforms like NVIDIA XavierNX, Qualcomm Snapdragon, Experience in ML Frameworks like OpenVino, Pytorch Lite.

Key responsabilities:

Lead software initiatives for vision perception in small aerial robotics
Architect and develop software roadmap across product lines
Span sensors, OS, algorithm dev, simulation, and optimization
Develop CV and ML within hardware to enhance performance
Contribute to making robots safe, easy, and affordable

Yo Hr Consultancy SME https://www.yohrconsultancy.com/

11 - 50 Employees

See more Yo Hr Consultancy offers

Job description

Perception Engineer

You bring:

Deep Expertise in C/C++, with a focus on SLAM and navigation. (5+ years preferably with industry experience)
Bachelors or more in Robotics, Software Engineering, Physics, Computer Science or similar.
Experience with developing for mobile/embedded platforms such as NVIDIA XavierNX, Qualcomm Snapdragon, or Intel Neural Compute Stick (Movidius).
Experience with ML Frameworks such as OpenVino, Pytorch Lite, etc. for perception problems and translating them to embedded/edge environments.

Bonus Qualifications:

Real-time, critical software development where latency matters.
Rust/Python experience a plus.
Familiarity with ROS/2 or PX4 a plus.
Previous software development on a small uncrewed aerial system (sUAS).
An active security clearance (this is not a requirement for the position).

You will lead software initiatives solving challenging vision perception problems in small aerial robotics. You’ll architect and build the roadmap for our software stack across our product lines. As an early hire, your purview will span sensors, operating system, algorithm development, simulation, and optimization to bring up CV and ML within our hardware. Help us build a vision of making robots safe, easy, and affordable.