Software Engineer - Compute Performance

at  ponyai

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 15 million miles of autonomous driving globally.

REQUIREMENTS

• BS/MS or Ph.D in computer science, electrical engineering or a related discipline.
• Strong programming skills in C/C++.
• Good knowledge of the fundamentals of computer architecture, including data caching, memory system, SIMD instruction sets, and compiler code generation.
• Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc.
• Experience with profiling, benchmarking and validating performance for complex computing architectures.
• Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks.
• Strong communication skills and ability to work cross-functionally between software and hardware teams

PREFERRED QUALIFICATIONS:

One or more of the following fields are preferred

• Experience with parallel programming, ideally CUDA, OpenCL or OpenACC.
• Experience in computer vision, machine learning and deep learning.
• Strong knowledge of software design, programming techniques and algorithms.
• Strong mathematical fundamentals, including linear algebra and numerical methods.
• Good knowledge of common deep learning frameworks and libraries.

Please refer the Job description for details