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Tier-1 employer and Bangalore metro increase applicant density despite niche, senior embedded/autonomous specialization.
Requires embedded automotive platform and kernel expertise, limiting transferability across industries.
Explicit 8+ years plus mandatory kernel, Linux/QNX, device driver and automotive platform skills enforce high shortlisting strictness.
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Drive adaptation of NVIDIA Autonomous Vehicle Software platform to customer ECU and vehicle environments.
Engage regularly with customer teams to productize workflows and support platform integration.
Analyze, debug, and fix software platform components to deliver quality releases and improve integration efficiency.
8+ years of relevant experience in engineering or computer science related fields.
Experience with ADAS or autonomous driving software stacks, especially platform software, middleware, and sensors.
Strong debugging skills on embedded hardware from application to kernel level.
Proficient in C, C++, Linux, QNX, device drivers, and build systems like Bazel.
Experienced in development, adaptation, and testing of automotive software involving sensors like camera, radar, lidar, GPS, or ultrasound.
Familiarity with heterogeneous architectures including GPUs and accelerators.
Knowledge of automotive process standards such as ASPICE and ISO26262.