Localization & Calibration - Research Engineer/Scientist - Sensor Fusion

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Job description

Join TuSimple and help change the way the world moves. Together we're making freight transportation safer, more efficient, and more environmentally friendly.

This opportunity is remote friendly during COVID-19.

TuSimple Company Overview

Come join a higher calling and find a deeper purpose!

TuSimple is a fully commercialized autonomous trucking company. As a multi-national Artificial Intelligence Technology Company, we are at the epicenter of the Autonomous Vehicle Universe. Our breakthroughs are leading the industry in autonomous trucking.

While inventing the framework of Autonomous Driving, our live fleet of autonomous Trucks have fully evolved land freight. TuSimple is leading the way by hiring the most talented researchers, engineers, and scientists.

TuSimple was founded half a decade ago with the goal of bringing the top minds in the world together to achieve the dream of a driverless truck solution. With a foundation in computer vision, algorithms, mapping, and Artificial Intelligence, TuSimple has created the first commercially viable Autonomous Freight Network.

Job Description

Out team, Calibration and Localization, is a significant player in the autonomous driving system. At Tusimple, our team is mainly responsible for sensor calibration and ego localization. You will work with the best talents to develop the state-of-art algorithms for online/offline sensor calibration and ego localization that meet ASIL level functional safety.

Example projects we are working on include:

Provide relative poses of various sensors in millimeter and Real-time correction of sensor pose due to roughness of the truck while driving
Develop centimeter-accuracy ego localization even when GPS is out of service
Benchmark of algorithms to ensure their performance for agile development

Responsibilities

Deliver high-quality and product-level code for modules on autonomous driving trucks
Formulate ill-defined problems with data driven approach for autonomous trucks driving
Be responsible for design, implementation, and evaluation of the cutting edge and sophisticated algorithms
Work on different sensors such as camera, LiDAR, radar, GNSS/IMU and etc
Experience non-linear optimization algorithms and non-convex problem
Collaborate with other engineers to conduct system integration and tests.

Qualifications

MS in Computer Science, Computer Vision, Machine Learning, Robotics, Math/Statistics or other related fields
Product-quality coding skill in Python or C/C++
Solid knowledge and insight understanding of at least one of the following domains:
computer vision: feature extraction/matching, SLAM, SfM, VO/VIO, multi-view geometry
point cloud: feature extraction, registration, (un)distortion
state estimation: Bayesian modeling, signal process, KF/EFK, factor-graph, non-linear optimization, statistical sampling

Preferred:

PhD in Computer Science, Computer Vision, Machine Learning, Robotics, Math/Statistics or other related fields
Publications in top journals or conferences in the related fields

Perks

100% employer-paid healthcare premiums for you and your family
Work visa sponsorship available
Relocation assistance available
Breakfast, lunch, and dinner served every day
Full kitchens on every floor with unlimited snacks, drinks, special treats, fruits, meals, and more
Stock options / equity
Gym membership reimbursement
Monthly team building budget
Learning/education budget
Employer-paid life insurance
Employer-paid long and short disability

TuSimple is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above listed items.

This opportunity is remote friendly during COVID-19

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