上海、北京
What you’ll be doing: Provide in-depth and insightful technical feedback on the quality of China NDAS L2++ SW stack, based on the performance metrics demonstrated through offline-replay and in-car testing. Identify the weak link of the L2++ SW stack, and make the weak link strong. Integrate, test and sign-off L2++ SW stack's code change and model update, and drive the Root-Cause-Corrective-Action (RCCA) process to continuously improve the quality of NDAS L2++ SW, Decompose a complicated cross-function problem into actionable items, and coordinate a concerted effort among multiple collaborators. Join force with component team developers, when necessary, provide your domain expert input to a solution for hard problems, and produce production-quality code to component code base.
What we need to see: BS/MS/PhD in Electrical Engineering, Computer Science, or related fields or equivalent experience. 8+ total years related experience in software development. with 5+ most recent years of hands-on dev experience in Autonomous Driving and/or ADAS for automotive. Great coding skills in modern C++ and scripting languages like Python. Deep understanding of the L2++ product features in China market. Hands-on experience in debugging hard ADAS SW problems. Excellent communication and interpersonal skills with ability to strive in a cross-disciplinary environment. Ways to stand out from the crowd: Experience of working as a hands-on tech lead for one or more autonomous driving components. Hands-on development experience of an SOP-ed AV product. Rich experience of in-car testing with great intuition of first-level triaging (from symptom to component). Familiar with CI/CD process, test automation, Jenkins, Log-Sim reply.
上海、北京,自动驾驶,