Join TuSimple and help change the way the world moves.
Together we’re making freight transportation safer, more efficient, and more environmentally friendly.
This opportunity is located in Tucson, AZ.
Company Overview
Come 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 in 2015 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 Overview
As a Sensor Hardware Intern, you will work closely with our R&D team to develop sensor system solutions for autonomous vehicles.
Sensor EE architecture and wire harness design: design the EE architecture for sensors, design the power supply and design related wire harnesses
Sensor system integration and testing: build system solutions, integrate sensors into the whole autonomous system, test system performance, sensor environment testing
Sensor design requirements: collect and write the sensor requirements document for different sensors
Sensor sourcing: work with sensor suppliers to get required information, build test bench and evaluate the performance of different sensors
Sensor hardware system design: select and evaluate different key chips inside the sensor, design key sensor hardware diagrams and interfaces, create hardware evaluation testing based on development board
Sensor evaluation report: analyze, post-process and visualize the collected sensor data, document the test results, and write the test summary report
Experience & Skills Required
Enrolled in a MS program in Engineering, automotive, EE, robotics, instrumentation, or related field, or BS/BEng with related internship experience
Hands on hardware experience with sensors at the board level
Experience with datalink, signal lines, data transmission interface, such as TCP/UDP, CAN, Serial, SPI, USB, etc.
Ability to verify sensor raw data with post-processing skills according to sensor physics
Sensor SW interfacing and Data Analysis
Proficiency with Python or Matlab, C++, work or project experience with ROS and RTOS to interface with sensors
Preferred Skills and Experience
Experience with designing and building automatic testing and data collection systems such as a linear motion control system
Have experience competing in autonomous driving contests
Have 2+ years of industry experience in Sensors, Autonomous Driving, EE and/or Robotics
Experience in the development of over 3 different types of sensors
Intern Perks
Work with world class AI Engineers
Shape the landscape of autonomous driving
Work on significantly important and mission critical projects
Extensive individual support through TuSimple’s Mentorship Program
Competitive salary
High full-time employment return rates after completion of Internship Program
Gym membership reimbursement
Monthly team building budget
Onsite Perks (These perks will only be applicable if the internship is onsite)
Breakfast, lunch, and dinner served every day
Full kitchens on every floor with unlimited snacks, drinks, special treats, fruits, meals, and more
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.
You can apply to the job with this email address:
hdwe___sensor_hardware_research_internship_39acd1422us@ivy.greenhouse.io
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