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Software Engineer, Onboard Infrastructure

Employer
TuSimple, Inc.
Location
California, MD
Closing date
Nov 28, 2021
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 located in San Diego, CA. Remote friendly during COVID-19Send your resume to this link:software_engineer vehicle_infrastructure__1fcadd172us@ivy.greenhouse.ioCompany 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.Onboard infrastructure plays a critical role in autonomous driving systems. At Tusimple, the Vehicle Infrastructure team is responsible for developing frameworks and modules that provide the essential platform and environment for the whole intelligent vehicle system.Opportunity Overview:Efficient communication framework for autonomous driving systemOptimize pipelines of deploying and testing autonomous driving system in C++Team: Vehicle InfrastructureRole Responsibilities:Develop and improve low-level libraries and frameworks to reduce system latency and boost performance.Develop onboard softwares to control and monitor the autonomous driving systemDesign and develop tools to help debugging and benchmarking onboard softwaresWork on the integration and deployment of onboard system softwaresWork with algorithm teams to improve their code quality in resource consumption & stabilityCollaborate with other teams to solve complex system-wide problemsExperience & Skills Required:Masters/BS in Computer Science, or other related field.Proficient with C++Good understandings of Data structure & AlgorithmEntry-level computer system knowledge (OS, architecture, network)Experience with Back-end system developingPreferred Skills and Experience:Experience with robot operating system (ROS/ROS2) and OpenCVExperience with onboard software developmentOpen-source project developing, proficient in git, linux, dockerKnowledge on system benchmarking & optimizationTuSimple 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 San Diego, CA. Remote friendly during COVID-19Send your resume to this link:software_engineer vehicle_infrastructure__1fcadd172us@ivy.greenhouse.ioBrown 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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