Technical Support Engineer/Network Engineer, Autonomous Driving

at TuSimple, Inc.
Location Hattiesburg
Date Posted January 15, 2022

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 located in Tucson, AZ.You can apply to the job with this email address:Company OverviewAs 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 NetworkJob DescriptionThe Autonomous Driving Technical Support Engineer will be a key member of our vehicle and system infrastructure team. You will be a liaison between our systems operation and engineering teams. You will help to deploy and maintain applications related to autonomous systems related to ROS, data offloading, perception and other autonomous systems.ResponsibilitiesEngage in whole lifecycle of services (such as ROS, Data Offload, etc) from design, deployment, through operation and refinementUnderstand, deploy and provide technical support for infrastructure systemsConduct root cause analysis and ensure overall system health is measured and monitoredMonitor and application systems of autonomous vehicle fleet regarding reliability, performance, efficiency, and scalabilityCollaborate with multiple teams, such as infrastructure, integration, sensor, vehicle control and algorithmResponsible for identifying and mitigating real and potential system problems and issuesDiagnose software system, and hardware failures that impact deploymentShare on-call for services and lead incident response and no-blame postmortem analysis and reviewQualificationsM.S. or B.S. in Computer Engineering and/or Computer ScienceStrong communication skills and the ability to work across technical teamsExperience with root cause analysis of a system or programExperience with deploying, maintaining, monitoring, and logging network devicesFundamental knowledge of TCP/IP stack, application protocols, (DHCP/DNS/HTTPs)and networking conceptsExperience in the Linux environment and an understanding of the fundamentals, such as filesystems and memory management, processes and threads, etc.Comfortable with using git and Github for source controlStrong unit testing and debugging skillsAvailability to rotate on call shiftsA deep feeling of ownership and drive.Preferred qualificationsExperience with Docker & Container Orchestration.Experience with autonomous driving, such as sensors and integrationPerksWork with world class AI EngineersShape the landscape of autonomous drivingCompetitive salary and benefitsBonus/paid vacations/insuranceDaily breakfast, lunch, and dinnerFull Kitchen with unlimited snacks and fruitsMedical, Vision, and Dental insurance planCompany 401(K) programCompany paid life insuranceTuSimple 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: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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