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TuSimple, Inc.: Senior Scheduling Specialist

TuSimple, Inc.

This is a Full-time position in El Paso, TX posted August 19, 2021.

This job is located in Tucson, AZ.Email your resume directly to apply!

av_test_operations_scheduler_a7b5d1532us@ivy.greenhouse.io Company OverviewCome join a higher calling and find a deeper purpose!TuSimple is a global Artificial Intelligence Technology Company.

We are the epicenter of the Autonomous Vehicle Universe.

Our breakthroughs are multiple generations ahead of anyone in the world.

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 GLOBALLY commercially viable autonomous truck driving platform!Opportunity OverviewThis position is responsible for managing day-to-day as well as long range scheduling of operations by ensuring that tests are scheduled with the appropriate testing team, hardware requirements, and external test facilities.

This position collaborates cross-functionally with all test teams and vehicle operations, ensuring that testing parameters are able to be met by coordinating both people and assets.ResponsibilitiesProvide test programs with a working schedule for the following business week, incorporating all operational requirements (i.E.

offline activities, training etc) as well as scheduling assumptions and analysis of upcoming testingCoordinate with Operation POCs and PMOs for activities and events that need to be scheduled.

Assess the potential impact of offline activities against the forecast and approve or decline requests as appropriate.Leverage historical data to identify and clearly articulate performance issues and provide counter measure option to close performance gaps in testing.Regularly monitor trends and flag any changes that may impact resource allocation.Recommend solutions to scheduling conflicts and / or special scheduling requests.Participate in and lead meetings with internal and external stakeholders as required to manage test plans.Plus – may perform other duties as assigned.RequirementsBachelors degree in Business, Math, Statistics or comparable analytical field preferredTransportation scheduling experience coordinating both people and assetsGeneral familiarity with trending, and basic analysis of trends, supply and demandStrong expertise in capacity modeling, forecasting, workforce management tools and operational planning methodologiesStrong written/verbal communication, interpersonal, and presentation skillsStrong analytical and problem-solving skillsExcellent verbal and written communication skillsExtremely proficient in MS Office and G-SuiteBonus PointsExperience in a start-up environmentExperience in Autonomous Vehicle OperationsExperience in Vehicle DispatchPerksCompetitive Salary.

We know you’re worth it!Employer-paid health, dental and vision insurance (very good PPO insurance)Company-paid full meals (breakfast, lunch, dinner) served from the choice of local restaurants daily.A seemingly endless array of snacks, drinks, and fun food.Top-of-the-line tech equipment and office furniture (very comfortable)Individual employee training education budget (spend it on the education and training you want!) 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 job is located in Tucson, AZ.Email your resume directly to apply!

av_test_operations_scheduler_a7b5d1532us@ivy.greenhouse.io

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