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Tier-1 Bengaluru role with specialized automotive embedded requirements increases competition moderately.
Requires specialized automotive embedded and safety-process expertise, limiting cross-industry transferability.
Explicit 8+ years, embedded systems, OS and driver expertise make candidate filters highly stringent.
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Adapt NVIDIA Autonomous Vehicle software platform to customer ECUs and vehicle environments.
Engage directly with customer teams to productize and integrate the platform workflows.
Analyze, debug, and fix software platform bugs to deliver high-quality releases and enhance integration efficiency for low latency development on AV simulation and vehicle platforms.
8+ years of relevant experience in engineering or computer science or equivalent experience.
Experience with ADAS or autonomous driving software stacks, especially platform software components, middleware, and sensors.
Strong debugging skills from application to kernel level on embedded hardware.
Proficiency in Linux and QNX operating systems, device drivers, and programming in C/C++ with knowledge of build systems like Bazel.
Experienced in functional development, adaptation, and testing of automotive software integrating various sensors (camera, radar, lidar, GPS, ultrasound).
Skilled in developing software for heterogeneous architectures including GPUs and accelerators.
Familiarity with automotive process standards such as ASPICE and ISO26262 and ability to work effectively across international cross-functional teams.