NVIDIA is developing the NVIDIA DRIVE AV Solution (NDAS), powered by the latest advancement in AI and accelerated computing. We are seeking a highly motivated software expert to join our Autonomous Vehicles (AV) China Drive-Alpha team in Shanghai. As the L2++ China Drive-Alpha Engineering PIC (pilot-in-control), you will be driving the engineering execution of L2++ features meeting or exceeding the important metric requirements, for both Highway and Urban ODDs.China Drive-Alpha consists of proficient domain-experts spanning the full stack of autonomous driving, including perception, fusion, prediction, planning and control, many with proven development experiences for the highly competitive China market in key L2 functions like ACC, LK/LC, Automated Parking Assist (APA), TSA, and Active Safety, and advanced L2+/L2++ function like highway NOA and Urban NOA with and without HD-Map. This team is responsible for the integration and sign-off of NDAS component teams' merge request/change lists, promotes validated changes to merge into stable branch, analyzes the root-cause (RC) of the regression identified, and drive the corrective actions (CA) taken by component engineering teams for a productive CI/CD process of SW development. Also, the team members tightly integrate into component teams' development, acting as a dependency resolver for the component teams to deliver cross-function enhancement that are most impactful to NDAS product. We cultivate teamwork among component teams' engineers and establish positive relationships and communications with partner organizations.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.NVIDIA has some of the most forward-thinking and hardworking people in the world. If you're creative and autonomous, we want to hear from you!We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
