Join our team as a Custom Software Engineer to develop cutting-edge custom software solutions. You will be instrumental in designing, coding, and enhancing components across various systems and applications. Leveraging modern frameworks and agile methodologies, you'll deliver scalable, high-performance solutions precisely tailored to meet unique business requirements.

This role offers the opportunity to work on advanced automotive technologies. A strong foundation in embedded systems, real-time software, and automotive communication protocols is essential. Experience with industry standards and tools like ISO 26262, ASPICE, CANoe, and MATLAB/Simulink is highly valued.

Support the development of Advanced Driver Assistance Systems (ADAS) projects, ensuring compliance with ISO 26262, ASPICE, and cybersecurity standards.

Collaborate with stakeholders, including OEMs, Tier-1 suppliers, and internal teams, to align on technical and programming objectives.

Contribute to the development of cloud-based vehicle data platforms and Vehicle-to-Everything (V2X) communication strategies.

Integrate Artificial Intelligence and Machine Learning for perception and decision-making, including Generative AI for code generation, test automation, and documentation.

Utilize GenAI accelerators for requirements analysis, defect prediction, test case generation, and engineering knowledge reuse.

A minimum of 2 years of experience in Automotive ECU Software development is required.

Possess 2 to 4 years of experience in ADAS or autonomous driving technologies, with strong knowledge of embedded systems and real-time software.

Familiarity with automotive communication protocols (CAN, LIN, Ethernet), RTOS, ADTF, AUTOSAR, and NVIDIA DRIVE SDK is crucial.

Experience with ISO 26262, ASPICE, and ISO/SAE 21434 standards, along with cloud connectivity and V2X communication, is expected.

Hands-on experience with NVIDIA Omniverse, Isaac Sim, and GenAI engineering tools, as well as knowledge of model-based development and simulation frameworks, is beneficial.

Academic qualifications include a Bachelor's or Master's degree in Electrical Engineering, Computer Science, or Automotive.

This position is based in our Bengaluru office.