Senior Software Engineer, Drive-Alpha Engineering - Autonomous Vehicles

NVIDIA•Us, CA

12h

About The Position

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) Drive-Alpha team in US Santa Clara. You will be driving the engineering execution of feature development or exceeding metric requirements, especially for L2++ and L3/L4. Drive-Alpha consists of proficient domain-experts spanning the full stack of autonomous driving, including perception, fusion, prediction, planning and control, autonomous model, many with proven development experiences for the highly competitive market in key functions like Highway NOA (Navigation on Autopilot) and Urban NOA (Navigation on Autopilot), as well as point to point driving (including parking). 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 of the regression identified, and drive the corrective actions 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 improvement that are most impactful to NDAS product. We nurture 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 NDAS L2++/L3/L4 SW stack, based on the performance metrics proven through offline-replay and in-car testing. Identify the weak link of the L2++/L3/L4 SW stack and make it strong. Integrate, test and sign-off SW stack's code change and model update, and drive the Root-Cause-Corrective-Action (RCCA) process to continuously improve the quality of NDAS 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.

Requirements

BS/MS in Electrical Engineering, Computer Science, or related fields or equivalent experience.
5+ years related experience in software development, with hands-on dev experience in AD for automotive.
Great coding skills in modern C++ and scripting languages like Python.
Deep understanding of L2++/L3/L4 product features in the market.
Hands-on experience in debugging AD SW problems.
Ability to communicate well and work productively in a cross-disciplinary environment.

Nice To Haves

Experience of working as a hands-on tech lead for one or more autonomous driving components.
Hands-on development experience of an SOP-ed AD and/or ADAS 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.

Responsibilities

Provide in-depth and insightful technical feedback on the quality of NDAS L2++/L3/L4 SW stack, based on the performance metrics proven through offline-replay and in-car testing.
Identify the weak link of the L2++/L3/L4 SW stack and make it strong.
Integrate, test and sign-off SW stack's code change and model update, and drive the Root-Cause-Corrective-Action (RCCA) process to continuously improve the quality of NDAS 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.