Computer Vision Engineer, Merlin Labs
More information about location
Aviation tech for fully autonomous flight
Be an early applicant
Aviation tech for fully autonomous flight
101-200 employees
Be an early applicant
More information about location
101-200 employees
Company mission
To build the AI-powered operating system of record that allows aircraft, large and small, to fly autonomously.
Role
Who you are
- You’re a computer vision specialist who loves turning raw sensor data into actionable insights. You thrive at the intersection of algorithms, hardware, and real-world deployment—designing systems that can see, understand, and interact with the physical world
- You’re comfortable moving between high-level model development and low-level camera calibration, and you take pride in building robust solutions that work reliably outside the lab
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field
- Strong experience with computer vision algorithms (object detection, tracking, identification, SLAM)
- Proficiency in depth sensing and 3D reconstruction techniques (stereo vision, structured light, ToF, LiDAR integration)
- Hands-on experience with camera setup, specification, and calibration (intrinsic/extrinsic, distortion models, multi-camera rigs)
- Proficiency with computer vision libraries and frameworks (OpenCV, PyTorch/TensorFlow, CUDA)
- Experience developing in C++ and/or Python for high-performance vision applications
- Strong understanding of camera hardware and imaging pipelines
- Ability to design experiments, analyze results, and iterate quickly in a collaborative engineering environment
Desirable
- Experience with ROS/ROS2 integration for robotic vision
- Familiarity with real-time embedded systems or GPU optimization
- Knowledge of multi-sensor fusion (IMU, LiDAR, radar) for perception
- Background in calibration automation and large-scale data collection pipelines
What the job involves
- Develop and implement object detection and identification algorithms for real-time applications
- Design and optimize depth sensing and 3D mapping pipelines, integrating data from cameras and other sensors
- Specify, configure, and calibrate camera systems, including selection of optics, sensors, and hardware
- Develop tools and processes for camera calibration, synchronization, and data acquisition
- Fuse data from multiple cameras/sensors to improve accuracy and robustness in perception systems
- Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms
- Conduct experiments, evaluate performance, and refine algorithms for accuracy, efficiency, and scalability
Our take
Companies like Xwing and Reliable Robotics are retrofitting aircrafts for full autonomy, however, Merlin Labs is taking a different route. Rather than building its own aircradt, it's developing the Merlin Pilot - an autonomous flight system designed to integrate into existing fleets. And this systems-first approach is gaining rel traction across commercial and defense sectors.
Instead of developing an autonomous vehicle, the company has designed configurable software that can be fitted into any plane to turn it into one. It’s already received certification from the FAA in the US, and the CAA in New Zealand; now, the goal is to get it fitted into large commercial aircraft to help reduce crew sizes. Ultimately, Merlin Labs is hoping its software will be used to fly smaller aircraft completely autonomously.
Providing a way for non-autonomous aircraft to be repurposed is a neat and attractive solution: costly aircraft needn’t be scrapped, human co-pilots don’t require retraining, and there’s a wealth of existing commercial and private applications for the software. So it’s an astute way of manoeuvring ahead of well-funded competition. Investors are paying attention, as are top-tier clients: Merlin has partnered with the likes of Ameriflight, the U.S. Air Force, and Dynamic Aviation, and pulled in millions of dollars of funding. It will need it: the competition is fierce.
Steph
Company Specialist at Welcome to the Jungle
Insights
55% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Apr 2023
$1m
GRANT
Jul 2022
$105m
SERIES B
Total funding: $170.8m
Company HQ
Leather District, Boston, MA
Leadership
Matt George
(CEO)Served in an OPC role at The White House, then on the Senior Advisory Board at Boston 2024. Went on to found and lead tech company Bridj.
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