This opportunity is located in Tucson, AZ.You can apply to the job with this email address: @ivy.Greenhouse.Io TuSimple Company OverviewCome 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.
Opportunity OverviewYou’ll be closely working with our R& D team to develop sensorsystem solutions for autonomous vehicles.
Role ResponsibilitiesDesign and develop software systems and internal tools for autonomous driving vehiclesDevelop sensors drivers & APIs & SDKs, evaluate sensors performance, integrate sensors to the vehicles, build sensors calibration solution, support algorithm development and calibration activities for vehiclesHelp design the sensor suite for autonomous vehiclesDevelop state-of-the-art methods for fusing sensor data together and maintaining data quality across a large fleet of production vehiclesIntegrate vehicle system including sensing modules, perception modules, monitoring modules etc.
Experience & Skills RequiredM.S.
or Ph.D.
in Computer Engineering, Computer Science, Robotics or a related field5+ years of hands-on experience working with complex hardware/software systems, experience writing device drivers and integrating hardwareIndustry experience writing production quality C++ and Python codeSystem software design and programming including parallel processing, threading, synchronization etc.
to realize complex middleware and applicationsExcellent problem solving and troubleshooting skills, including a systematic approach to determining root cause, implementing solutions, and documenting resultsExperience with a wide range of sensor tools and softwares, including many of the following:Variety of cameras, LIDAR, IMUsCalibration of cameras and/or depth sensorsProgrammatic interfacing with cameras & sensors Preferred Skills and ExperiencePoint-cloud processing, sensor fusion, and SLAMHands-on experience with cameras, LIDAR, and radarRobotics or systems-level programmingStatistical analysisAutomotive or robotics industry backgroundTuSimple Benefits100% employer-paid healthcare premiums for you and your familyWork visa sponsorship availableRelocation assistance availableBreakfast, lunch, and dinner served every dayFull kitchens on every floor with unlimited snacks, drinks, special treats, fruits, meals, and moreStock options / equityGym membership reimbursementMonthly team building budgetLearning/education budgetEmployer-paid life insuranceEmployer-paid long and short disabilityTuSimple 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 located in Tucson, AZ.You can apply to the job with this email address: @ivy.Greenhouse.Io 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.
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