The Engineer in this role will work with a multidisciplinary team to develop perception software and algorithms for robotic applications related to store replenishment and e-commerce order fulfillment.

This candidate will be expected to be a key contributor driving to real-world customer delivery, acceptance, and operation.

Skills/Technical Requirements:

7+ years experience in software development

Excellent communication skills and ability to work as part of an interdisciplinary team

Demonstrated ability to

Apply new perception and learning algorithms to real-world problems

Develop on and debug real robotic systems

Perception libraries (e.g. OpenCV, PCL, Open3D)

Python

C++

Design patterns

VCS (Git)

Issue tracking system (Jira)  

Master’s degree in Computer Science, Computer Vision, Robotics, or closely related field

Robotics and robotic solutions

Demonstrated familiarity with one or more of the following

Machine learning libraries (e.g. pytorch, sklearn)

Algorithm evaluation tooling (e.g. Weights & Biases, FiftyOne)

Annotation tooling (e.g. Scale, CVAT)

System design

ROS

Demonstrated abilities in one or more of the following

Grasp point generation and selection using rgb and/or depth data

Long-tailed object detection and segmentation

Point cloud and/or image processing for object detection and pose estimation

Anomaly detection in images and other sensor data

Image/video based product damage & anomaly detection

Automatic sensor calibration & validation

Parallel/distributed systems

Asynchronous/concurrent programming (asyncio)

NoSQL databases (MongoDB)

Messaging Systems (gRPC, Kafka)

CI/CD (Jenkins, automated testing

Company Overview: We're in search of a talented Perception Engineer with expertise in deep learning and computer vision to drive the forefront of perception R&D. Join us in overcoming the thrilling challenges of transitioning global fleets into the realm of autonomous operations.

Responsibilities:

Develop, integrate, and enhance top-tier perception technology, focusing on object detection, tracking, and semantic segmentation for SMR vessels.

Conduct in-depth analysis of real-world data and meticulously evaluate the performance of deployed technology.

Prototype cutting-edge solutions and seamlessly integrate robust Python/C++ applications into the existing Sea Machines autonomy system.

Maintain comprehensive software documentation and contribute to user documentation development.

Participate actively in field testing and trials, meticulously documenting and communicating encountered bugs and issues.

Engage as a vital member of a multi-disciplinary engineering team, participating in team meetings, stand-ups, and quality reviews.

Collaborate cross-functionally with technical teams to conduct functional testing, system integration verification, and performance validation of perception algorithms and system interfaces.

Requirements:

Bachelor’s or master's degree in Computer Science, Electrical Engineering, or equivalent fields.

Proficiency in Machine Learning, Deep Learning, or Computer Vision algorithms, with a solid understanding of convolutional neural networks.

Hands-on experience with Python, Tensorflow, Keras, Ubuntu, and OpenCV.

Proficient in Git, Python, Scikit-learn, Linux, Jupyter Notebook, and Cloud Computing/Storage.

Demonstrated expertise in deep learning-based object detection, tracking, or semantic segmentation.

Proven track record in machine learning and image processing-based image classification and segmentation.

Experience in large-scale data collection, organization, analysis, and regression testing.

Understanding and appreciation of hardened industrial systems.

Strong analytical and problem-solving skills, with excellent written and oral communication abilities. Must be a self-starter and highly motivated individual.

Prototype builds and testing

3D modeling

Testing robot systems and mobile app connectivity

HW checkouts when new samples come in – this includes testing, inspection, data logging, and communication of issues in real-time

HW testing – running a wide-ranging suite of tests to get a point of view of how our prototypes are performing before engaging in longer testing in a formal lab setting

Must have an engineering degree 

1+ years of work experience with product testing, analysis, debugging, and electro-mechanically inclined