Senior Research Engineer, Localization/SLAM at TuSimple (Pittsburgh, PA)

| Pittsburgh, PA
Sorry, this job was removed at 6:27 p.m. (CST) on Monday, April 18, 2022
Find out who's hiring in Pittsburgh, PA.
See all Developer + Engineer jobs in Pittsburgh, PA
Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
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 solution.   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. 


TuSimple Calibration and Localization is one of the most valuable areas in the autonomous driving system. Teams are responsible for complex sensor calibration and ego localization.   Collaborate with leaders in the industry to innovate state-of-art algorithms for online/offline sensor calibration and ego localization that meet ASIL level functional safety.


Role Responsibilities and examples of work

  • 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.

  • Provide relative poses of various sensors in millimeter and <0.1 degree resolution

  • 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

Experience & Skills Required 

  • 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 Skills and Experience

  • 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

TuSimple Benefits

  • 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 Brown University, California Institute of Technology, Carnegie Mellon University, Columbia University, Cornell University, Dartmouth College, Duke University, Georgia Institute of Technology, Harvard University, Harvey Mudd College, Massachusetts Institute of Technology, North Carolina State University, Northwestern University, Princeton University, Purdue University, Rice University, Rose - Hulman Institute of Technology, Stanford University, Tufts University, University of California — Berkeley, University of California — Los Angeles, University of Illinois--Urbana-Champaign, University of Maryland--College Park, University of Massachusetts--Amherst, University of Michigan--Ann Arbor, University of Notre Dame, University of Pennsylvania, University of Southern California, University of Texas Austin, University of Washington, University of Wisconsin--Madison, Williams College, Worcester Polytechnic Institute (WPI), Yale University, MIT, CMU, Waymo, Uber, Facebook, Uber, Amazon, Cruise, Tesla, Argo AI, Baidu, DIDI, Zoox, Nutonomy, Nuro, Aptiv, Pony.Ai, Kodiak, Toyota, Nissan, GM, Ford, VW, Autonomous Car, Autonomous Driving, Robotics, Artificial Intelligence, Machine Learning, Deep learning, Perception, Prediction, Planning, Control, Anduril Industries, Sift, Nauto, Tempus,  Salesforce,  Automation Anywhere, SenSat, Phrasee, Defined Crowd, Pymetrics,Siemens, Socure, AEye, Rev.com, Suki.ai, Verkada, DataVisor, People.ai, AlphaSense, Icertis, Casetext, Blue River Tech, Nvidia, Bright Machines, Orbital Insight, Brighterion, H2O, Intel, Clarifa, X.ai, Zebra Medical Vision, Iris AI, Freenome, Neurala, Akamai, Zoho, ServiceNow, SalesForce, Oracle, Tableau,Splunk,Cvent, Veeam,Atlassian, DocuSign, Dropbox, Veeva Systems, Proofpoint, Cornerstone, Qualtrics. New Relic, Okta, Intralinks, MuleSoft, Freshworks, Slack, Twilio, Anaplan, Stripe,  Workfront, Smartsheet, Zuora, OutSystems, Coupa, Cylance, Elastic, Zoom, SailPoint, BlackLine, iCIMS, Digitate, Qualys, Kareo, DataStax, DiscoverOrg, Siteimprove, Druva, Centrify, Looker, SimilarWeb, Odoo, Kyriba, Sumo Logic, Sisense, PagerDuty, DigitalOcean, Liquid Web, Zaloni, Databricks, ServiceTitan, Fastly, SnapLogic, Mendix, Couchbase, Egnyte, Seismic, Bill.com, Justworks, Collibra, ActiveCampaign, Schoology, SalesLoft, Cylynt,
More Information on TuSimple
TuSimple operates in the Automotive industry. The company is located in San Diego, CA. TuSimple was founded in 2015. It has 798 total employees. To see all 224 open jobs at TuSimple, click here.
Read Full Job Description
Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Similar Jobs

Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Save jobView TuSimple's full profileFind similar jobs