ClearMotion is launching a groundbreaking new technology for the automotive industry – a high bandwidth active suspension system. Our advanced engineering team is working on cutting-edge technology – tackling everything from motion sickness mitigation in autonomous vehicles to road surface classification and more.
We’re looking for a talented software engineer to work on a breakthrough active suspension system for cars. You will be part of the advanced engineering group, focused on improving ride comfort and safety by using data crowdsourced from ClearMotion vehicles.
You’ll be working on our backend system that powers RoadMotion, ClearMotion’s cloud-connected software product. You’ll touch everything from backend server development + optimization, architecture + scaling, database optimization + management, mapping + localization(algorithm development), and more. You’ll be a critical player in helping productionize and future-proof our current backend architecture, and will be a key member in taking RoadMotion to the next level.
The successful candidate will be a passionate, confident, organized and driven team player. We’re looking for people who have a strong interest in building and scaling out successful products and systems. The ideal candidate would be interested in learning new technologies and languages, and would willing to do whatever it takes(within reason) to help get the job done!
Solid knowledge of databases(NoSQL), distributed systems, microservices, network optimizations, etc.
Create workflows and pipelines for integrating machine learning models in our existing backend infrastructure.
Experience building and running RESTful web services on cloud platforms(Azure, AWS).
Proficient understanding of code versioning tools(git)
Contribute to strategy/algorithm design reviews with team members.
Can help lead projects from ideation to execution(semi-autonomous).
If you don’t have every qualification below – don’t worry! We’re not expecting that! We’re looking for people who understand the goals/objectives of what we’re trying to achieve and have an attitude of“I’ll learn whatever I can to help get the job done!”
Machine learning experience –(specifically w/ LSTMs, RNNs, CNNs). Big plus for previous time series analysis work.
Familiarity w/ mapping + localization(i.e SLAM, Inertial Navigation), and general intuition/knowledge on how autonomous cars work + common problems.
General understanding of how common automotive sensors work.(GPS, accelerometers, wheel encoder sensors, IMUs/gyros, etc)
Strong math & stats background.
Interest in automotive + autonomy!(If you’re not – don’t worry, we hope you will be soon after working here )
Work in a small, highly focused team with strong leadership support.
Meaningful work creating a train-like, magic carpet experience in vehicles. Enables huge increases in comfort, safety, and handling in passenger vehicles. Dramatic implications for increasing productivity in autonomous cars and for reducing motion sickness!(Once you get a demo – you’ll never want to go back in a normal car!)
Competitive salary + benefits!
Unlimited vacation + sick time off(yes – people actually go on vacation regularly here)
Chef Reuben + Adam’s lunch every day + unlimited snacks/drinks/breakfast items.(all free!)
Flexible hours. We care about work output – not time spent in the office!(We prefer that you’re here in-person as much as possible though as there’s a lot of vehicle-level testing + multi-function team discussions. Remote work okay when applicable to the task you’re working on!)
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required. Duties, responsibilities and activities may change at any time with or without notice. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
We are an equal opportunity employer; applicants, employees and former employees are protected from employment discrimination based on race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, and genetic information (including family medical history), or any other characteristic protected by law.