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Planning - Senior Research Engineer/Research Scientist

Company: TuSimple, Inc.
Location: Detroit
Posted on: November 22, 2021

Job Description:

This opportunity is located in San Diego, CA. Remote friendly during COVID-19You can apply to the job with this email address:

Company OverviewCome join a higher calling and find a deeper purpose!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 current fleet of autonomous Trucks are helping communities receive much-needed supplies and medical equipment around the clock. Our people are some of the most talented engineers and contributors who are leaving behind a historic legacy.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 is working to create the first global commercially viable Autonomous Freight Network.Job DescriptionTusimple is the self-driving technology company with a mission to bring automation to the trucking industry. Planning plays a critical role in the mission. At Tusimple, the planning team is responsible for generating optimized trajectories for our self-driving truck. The planning module includes important components such as lane change decision, motion planning and trajectory ranking.Example projects we are working on include:Proactive lane change algorithms to make our lane change natural, smooth and safeLongitudinal and Lateral joint optimization to handle sudden cut-in and complicated merge scenariosPerception and prediction uncertainty handling in motion planningLearning based planning algorithms (both deep learning and reinforcement learning)ResponsibilitiesDeliver high-quality and reliable code for planning modules on autonomous driving trucksDevelop the cutting edge stochastic optimization algorithms in decision makingGain experience in convex optimization algorithms for motion planningBuild advanced models for machine learning based planning algorithmsCollaborate with other engineers to conduct system integration and tests.QualificationsMasters, PhD in Computer Science, Robotics, Mechanical Engineering, Math/statistics or other related fields.Experience in designing and building data pipelines.3-5+ years of professional experience working with autonomous vehicles.Product-quality code in C++ and/or Python.Knowledge and experience in convex optimization, non-linear optimization, stochastic optimization, Markov decision processKnowledge and experience in advanced learning algorithms include deep learning, reinforcement learning, inverse reinforcement learning, GANTuSimple 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.rown 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,

Keywords: TuSimple, Inc., Detroit , Planning - Senior Research Engineer/Research Scientist, Engineering , Detroit, Michigan

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