TuSimple, Inc.: Sensor Application Engineer

This opportunity is located in Tucson, AZ.You can apply to the job with this email address: sensor_application_engineer_7e55cd4b2us@ivy.greenhouse.io 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.

Opportunity OverviewThis position is responsible for supporting sensor operation and test operation using sensor applications (including but are not limited to sensor application software and quality assurance tools), assisting engineering teams for deployment and troubleshooting, and developing processes.

Provide advance troubleshooting support for deeper & most complex challengesescalated from Operation teams.

Leadership for this role is supportive, innovative, energetic.

The role requires interfacing with operations and engineers.

Role ResponsibilitiesTraining and educating operationsProvide working instructionsProviding operations’ feedback to engineersAssisting engineers in test support and documentationOrganizing computational resource such as PCs, switches, and other devicesStrong communication, interpersonal, and organizational skillsHandling Q& A for operations, offering presentations and demonstrationsDeveloping tools/programs to satisfy operations requirementsAssisting engineers in application/system troubleshooting and debuggingFacilitating process design, execution, monitoring and maintenance Experience & Skills RequiredBachelor’s degree in Engineering, Information Systems, Computer Science, or related field1+ years Software or Hardware Applications Engineering, Hardware/Software Development experience, or related work experience1+ years experience with debugging techniquesBasic skills in project managementGood communication skills to precisely understand and deliver requirementsRelevant engineering experience to development programsDemonstrating project management abilitiesDeveloping strong quantitative analysis skillsCollaborating across interdisciplinary teamsProfessional technical documentation skillsTuSimple 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: sensor_application_engineer_7e55cd4b2us@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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