TuSimple, Inc.: Supplier Quality Engineer

This opportunity is located in San Diego, CA.You can apply to the job with this email address:pmo__supplier_quality_engineer_fc8dc5b32us@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 OverviewTuSimple’s Supplier Quality Engineer protects the company from the negative impact of poor supplier quality and ensures supplier specifications released from engineering are feasible.

You will also evaluate supplier performance and manage continual improvement activities while managing supplier technical interface and relationship through product development to production (APQP / PPAP).Join us and be a part of excellence!

Role ResponsibilitiesCollaborate with internal teams and suppliers to ensure appropriate quality expectations and assurance methods are implementedDevelopment and communication of supplier control plansDevelop and implement quality inspection processes and tools at the supplier(s)Evaluate and communicate yield rates of new and existing supplier processesDefine, direct studies and implement process improvements where appropriateEstablish audit procedures appropriate to program and supply base to ensure alignment with associated quality standardsAssess supplier production control and quality programs, identify risks to expectation, and drive corrective actionsReview APQP with supplier and other internal functional groups to optimize supplier quality programsEvaluate supplier readiness and consistency to APQP at appropriate development and qualification stages as requiredEnsures that the components/products at the supplier produces are released according to agreed specifications and quality requirements (APQP / PPAP)Monitor supplier’s performance using production, inspection and audit dataProblem Solving: (8D) / SCAR/ RTV management: Effective and timely containment and closureGenerate supplier performance summary and communicate to appropriate teams and managementMay perform other duties as assigned.

Experience & Skills RequiredBachelor’s Degree or above in Electrical/Mechanical Engineering, Computer Science, or a related field5-10 years relevant industry experienceExpertise in the Quality management processes and methods used in the manufacture of electro-mechanical components and assemblies for the automotive or vehicle supply base.Experience and working knowledge of Quality Management System processes, procedures and data reporting.Experience with quality standards and methods in performing supplier audits and compliance validationKnowledge of autonomous technology supply base and general supplier quality control attributes for mechanical and electrical components and partsKnowledge and understanding of: ISO 9001 / IATF 16949 ; ISO 15504 ASPICE ;VDASix Sigma QualificationsKnowledge of QMS IT support systems encompassing PLM, ERP, & MESComplex Problem Solving: Practical Problem Solving, 8D, 5Y, SCARs, RTVMulti-disciplinary approach and knowledge basic Supplier Quality principles, theories and conceptsAuditingPerformance Monitoring,APQPPPAPGD& T BS:8888 ISO 1101Quality tooling / processes: Inspection fixtures, CMM processesAble to read and interpret 2D and 3D engineering data, develop the manufacturing and assembly processAble to make decisions based on data and facts.Proficient in the use of Microsoft office applications such as Word, Excel, Powerpoint, Outlook and ExplorerEngineering and Technology — Knowledge of the practical application of engineering science and technology.

This includes applying principles, techniques, procedures, and equipment to the design and production of various goods and services.Production and Processing — Knowledge of raw materials, production processes and associated quality control techniques,Mechanical — Knowledge of machines and tools, including their designs, uses, repair, and maintenance.Design — Knowledge of design techniques, tools, and principles involved in production of precision technical plans, blueprints, drawings, and models.Judgment and Decision Making — Considering the relative costs and benefits of potential actions to choose the most appropriate one.Excellent verbal and written communication skills.Able to manage multiple responsibilities.Strong problem-solving, organizational, and analytical skills.Exceptional communication skills TuSimple Benefits100% employer-paid healthcare premiums for you and your familyBreakfast, lunch, and dinner served every dayFull kitchens on every floor with unlimited snacks, drinks, special treats, fruits, meals, and moreGym membership reimbursementMonthly team building budgetLearning/education budgetEmployer-paid life insuranceEmployer-paid long and short disability TuSimple 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.You can apply to the job with this email address:pmo__supplier_quality_engineer_fc8dc5b32us@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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