Sensor Research Engineer

This opportunity is located in Tucson, AZ.

You can apply to the job with this email address: hdwe__sensor_research_engineer_1adc62fd2us@ivy.greenhouse.io TuSimple Company Overview Come join a higher calling and find a deeper purpose!

TuSimple is a fully commercialized autonomous trucking company.

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 live fleet of autonomous Trucks have fully evolved land freight.

TuSimple is leading the way by hiring the most talented researchers, engineers, and scientists.

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 has created the first commercially viable Autonomous Freight Network.

Role Responsibilities * Sensor requirements design: collect and write the sensor requirements documents for different sensors.

* Sensor sourcing: work with sensor suppliers to get related information, build test bench and evaluate different sensors’ performance.

* Sensor hardware system design: select and evaluate different key chips inside the sensor, design key sensor hardware diagram and interface, make evaluation hardware testing based on the development board.

* Sensor EE architecture and wire harness design: design the EE architecture for sensors, design the power supply and design related wire harness.

* Sensor evaluation: design the testing procedure, finish the evaluation setting up and test cases, data analysis and release sensor evaluation report.

* Sensor system integration and testing: build system solution, integrate sensors to the whole autonomous system, test system performance, sensor environment testing.

Experience & Skills Required * B.S., BEng or M.S.

in Robotics/Automotive/Electrical/Mechanical Engineering or a related field.

* Deep understanding of the principles of one or more following sensors: GNSS, IMU, Lidar, Radar, Ultrasonic, Camera, etc.

* Experience in sensor development, sensor module integration for mobile platforms, sensor performance evaluation.

* Understanding common communication protocols such as CAN, Ethernet, etc.

* Has troubleshooting experience for complex engineering systems.

* Has experiences with multimeters, oscilloscopes, etc.

* Ability to work safely in a fast-paced environment.

Bonus Points * Have experience competing in autonomous driving contests.

* Familiar with vehicle environment standards (Temperature, Vibration, EMC, etc.), ISO 16750, 7637, J1455 or equivalent.

* Proficiency with common EDA tools and hardware design.

* Have 2+ years of industry experience in Sensors, Autonomous Driving, EE and/or Robotics.

* Experience in ISO 26262, FMEA.

* Experience in development of over 3 different types of sensors.

TuSimple Benefits * 100% employer-paid healthcare premiums for you and your family * Work visa sponsorship available * Relocation assistance available * Breakfast, lunch, and dinner served every day * Full kitchens on every floor with unlimited snacks, drinks, special treats, fruits, meals, and more * Stock options / equity * Gym membership reimbursement * Monthly team building budget * Learning/education budget * Employer-paid life insurance * Employer-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 Tucson, AZ.

You can apply to the job with this email address: hdwe__sensor_research_engineer_1adc62fd2us@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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