:Company: Qualcomm India Private LimitedJob Area: Engineering Group, Engineering Group
Software EngineeringGeneral Summary:Qualcomm ADAS/Autonomy team is engaged in offering optimized solutions built on DSP, computer vision and machine learning algorithms for the Qualcomm ADAS/Autonomy SoCs. We are seeking engineers with experience in system and SoC SW level functional safety concepts. The job requires understanding and defining of the Safety Concept and Architecture, Software Safety requirements, defining and deploying safety processes and development of Safety software by following the ISO26262 software processes. Interaction with customers, architects and test/integration teams are required as part of the job. The job also involves working with the Software quality team for adherence of ISO26262 and ASPICE processes.In this role, the candidate will work with local and global teams to understand, define and implement and productize Automotive specific features including software enablement (drivers/BSP/RTOS/AUTOSAR MCAL), security, functional safety, and power applied to Automotive products on our current and next generation SoCs. The candidate will also have the responsibility to coordinate and execute plans which will encompass validation of all the feature requirements. The Candidate will have the responsibility to identify and address any abnormal discoveries by root-causing and providing detailed corrective actions in the form of optimizations and/or fixes. When possible, the candidate is expected to prototype and pre-validate recommended fixes. Additionally, the candidate will be responsible for any automation of design under test along with validation efforts and working closely with design/production/bench IP teams.Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
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