NVIDIA is looking for a highly motivated System Software Sr. Engineering Manager to join its dynamic, collaborative, and fast-paced customer interfacing organization. In this role, you will lead a high-performing team of skilled engineers responsible for delivering NVIDIA DRIVE OS and autonomous driving software to OEM platforms. You will drive end-to-end program execution from system architecture to vehicle integration while ensuring delivery excellence, quality, and customer success. This position requires outstanding interpersonal skills, prior team management experience, and deep technical knowledge in embedded systems development. Experience in automotive systems, particularly ADAS applications, is highly preferred.
What you’ll be doing:
Lead, grow, and mentor a high-performing engineering team responsible for porting DRIVE OS and NVIDIA autonomous driving software to OEM platforms, ensuring successful program delivery, quality, and customer outcomes.
Lead system-level decomposition by mapping OEM's product requirements to NDAS SW components, driving alignment across cross-functional teams and ensuring clear ownership, boundaries, and interfaces
Drive the software architecture strategy for OEM driving functions (up to L3). Build and maintain a deep understanding of system layering, data/signal flows, and end-to-end traceability in relation to the Vehicle Abstraction Layer (VAL) and related software stacks.
Drive seamless execution across architecture, platform, and integration teams.
Engage directly with OEM customers to drive requirements definition, support integration and technical issue resolution.
Own end-to-end delivery of OEM programs, ensuring alignment to milestones, quality, and customer expectations
Ensure compliance with functional safety (ISO 26262) and automotive quality standards
Own system and vehicle integration strategy and execution, including HIL/SIL infrastructure, data collection readiness, and end-to-end function bring-up for OEM programs
Scale team capabilities through strategic hiring, onboarding, and continuous organizational development.
What we need to see:
Degree from a leading university or equivalent experience in an engineering or computer science related field (BS, MS or higher).
12+ overall years of experience in automotive/embedded systems, with proven leadership and team management experience for 5+ years
Fundamental knowledge on SoC architectures and on-chip components.
Understanding of autonomous vehicle system and sensors
Strong knowledge of C/C++/Python, QNX and/or Linux OS.
Understanding of CPU/GPU architectures, data structures, OS internals, multi-threading, inter-process communications, memory management techniques.
Extensive hands-on experience in BSP porting and device driver internals.
Knowledge and experience working in Multicore/heterogenous SoCs, camera/imaging/video/graphics/compute system.
Excellent communication and organization skills, with a logical approach to problem solving, good time management and task prioritization as well as interpersonal skills.
Willingness to travel worldwide to support NVIDIA partners.
Ways to stand out from the crowd:
Background with QNX OS for Safety (QOS).
Experience with autonomous vehicle system integration.
Experience with Automotive SPICE and/or ISO26262 standards.
Extensively supported customers both onsite and offsite.
Self-motivated and work effectively across different functional teams.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and proactive, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
