Calibration Engineer - Tangram Vision | Perception Calibration and Reliability

Tangram Vision Career Opportunity

Calibration Engineer

$160,000 - $180,000 USD

Fully Remote

NOTE TO APPLICANTS: This position requires a deep knowledge of geometric and classical computer vision techniques. Candidates with professional deep learning experience, but without the prerequisite geometric knowledge, are unlikely to excel in this position.

Tangram Vision has been awarded a Phase II SBIR from NASA to implement operator-free multi-modal calibration on the lunar surface, a system we're calling AutoCal. Read more about the grant here ( announcement link).

We are looking for qualified candidates to research, implement, and improve AutoCal for both NASA's applications and those of any other robotics and automation system. The ideal Calibration Engineer candidate has real-world calibration experience through robotics, autonomous vehicles, or industry. A successful candidate has not only developed calibration systems and products, but has iterated on and improved that product once deployed. They have worked with multi-modal data from a variety of sensors and systems, and they have implemented odometry solutions from fundamentals.

As MetriCal usage is a prerequisite for AutoCal, candidates should expect to work with and improve all of Tangram Vision's calibration software suites.

How to Apply

Submit your resume to careers@tangramvision.com. Include your name, phone number, and a few reasons why this job appeals to you.

Examples of Things You’ll Work On

You’ll be a successful candidate if

Must-Have Technical Qualifications

In our experience, people with the below experiences would thrive in this role. Our tech stack is shown in parentheses, where applicable; experience with a specific tool is not required for this role.

Benefits and other Perks

We’re a startup, aren't there supposed to be pool tables and stuff? We have an ever-growing list of items that we’re looking to provide, here’s what we currently offer.

Interview Process

For this role, the interview process will consist of the steps listed below. The first four steps will be conducted over video calls using Google Meet.