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Tier-1 brand and Bangalore location increase candidate density, but specialized embedded/AV skills limit applicants.
Automotive embedded platform, kernel, and sensor expertise restricts cross-industry transferability.
Explicit 8+ years and specialized embedded, vehicle, and kernel-level requirements enforce strict technical filters.
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Adapt NVIDIA Autonomous Vehicle Software platform for integration with customer ECU and vehicle environments.
Engage regularly with customer teams to productize workflows and improve platform integration processes.
Analyze, debug, and fix issues in software platform components to deliver high-quality releases; enhance integration efficiency for low-latency development on AV simulation and car platforms.
Bachelor's or Master's degree in Engineering or Computer Science or equivalent experience.
8+ years of relevant work experience in ADAS or autonomous driving software stack, especially platform software, middleware, and sensors.
Proficient debugging skills from application to kernel level on embedded hardware; strong programming skills in C and C++ with knowledge of build systems like Bazel.
Working knowledge of Linux and QNX operating systems and experience with device drivers.
Experienced in functional development and adaptation of automotive software involving various sensors (camera, radar, lidar, GPS, ultrasound).
Familiarity with heterogeneous computing architectures, including GPUs and accelerators relevant to autonomous driving platforms.
Knowledgeable about automotive process standards such as ASPICE and ISO26262 and able to work effectively across international and cross-functional teams.