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 AI, TuSimple is working to create the first commercially viable autonomous truck driving platform with L4 (SAE) levels of safety.

Job Description

Our deep learning team helps autonomous trucks sense and perceive the world. With strong programming skills, you will play an important role in perfecting deep learning algorithms into product-level modules running on TuSimple's autonomous driving trucks.

Responsibilities:

Deliver high-quality and reliable code for deep learning modules on autonomous driving trucks. Build and maintain efficient pipelines and reliable benchmarks for improving deep learning model performance.

Optimize training and deployment process for deep learning models.

Collaborate with other engineers to conduct system integration and tests.



Qualifications:

MS/PhD in Computer Science or other related field. Product-quality code in C++ and/or Python. Experience in designing and building machine learning/deep learning data pipelines. Knowledge in deep learning topics including but not limited to detection, segmentation, and 3D perception.

Preferred:

Experience in designing and building front-ends for helping monitor experiments, visualize benchmarks etc. Knowledge and experience in neural network computation optimization, such as distributed training, network quantization, and CUDA acceleration. Experience in FPGA/Embedded systems/High performance computing. Prior academic or industrial experience in autonomous driving.

Perks

Competitive salary and benefits

Work with world class AI Engineers

Shape the landscape of autonomous driving

Daily breakfast, lunch, and dinner

Full kitchen with unlimited snacks and fruits

Medical, Vision, and Dental insurance plan

Company 401(K) program

Company paid life insurance

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.