This opportunity is located in Tucson, AZ.You can apply to the job with this email address: hdwe__components_engineer_eec43f0a2us@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.
Role ResponsibilitiesSources, selects, and qualifies components used in the company’s technologyInvestigates alternate component technologies or supplies, reducing cost and improving quality and reliabilityActs as technical interface between component/production suppliers and development engineers, determining new and alternate sourcesInvestigates alternate component technologies or supplies for reduced cost or improved quality and reliability, and implements changesDevelops guidelines/procedures on vendor selectionEvaluates supplier change notification and qualifies changes, as neededWill maintain component data management system including qualification records/results/documentation.Will ensure specific parts used in manufactured products and systems are reliable and effectiveWill be involved in all design phases: production, research & development, compliance, and design stages of manufacturingWill be responsible for overseeing any necessary testingMay require up to 20% travelLead and take ownership for the evolution part selection, including the selection of EE and ME parts and evaluation of commercial EE/ME parts in high reliability applicationsLead EE/ME piece part failure investigations during lot testing, environment testing, and failures in the fieldServe as an essential team member within the Hardware Engineering Group as the Subject Matter Expert for piece parts (COTS) focusing on EE/ME piece part selection, defining and reviewing EE/ME part qualifications and lot testing plans (parts control plans), and evaluating EE/ME part changes/deviationsMaintain the CAD library within SolidWorks PDMMaintain the Arena part information data accuracyWork closely with Procurement, Manufacturing, Quality, and other Engineering TeamsWill find alternate components for discontinued/obsolete componentsWill be the focal point for creating new parts within ArenaExperience & Skills RequiredBS/BA degree in Engineering or PhysicsComponent engineer should have a basic understanding of manufacturing mechanical and electrical systems within the auto industry.+5 years direct experienceTuSimple 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: hdwe__components_engineer_eec43f0a2us@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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