Lucid Motors
Sr Embedded Software Engineer - ADAS / AD
Lucid Motors, Newark, California, United States, 94560
Your Role
Implement efficient and robust software for our embedded autonomous driving compute platform, such as sensor drivers, middleware components, diagnostics, perception/planning/control modules, and ADAS/AD customer features
Optimize performance, safety and security of the software using state-of-the art algorithms and dedicated hardware components
Integrate, test and validate software components to ensure the required high software quality level and conformity to industry standards
Be part of a fast-paced, highly motivated agile team developing cutting-edge ADAS/AD customer features!
Qualifications
Demonstrated excellence in C programming skills in the embedded context
Experience with real-time operating systems, micro-controllers and their standard peripheral components
A proven track record of developing and delivering AUTOSAR compliant software for embedded devices or controllers
Proficiency in Classic AUTOSAR stack and familiarity with an AUTOSAR configuration tools
Experience in AUTOSAR configuration tools like EB Tresos, DaVinci Configurator, DaVinci Developer etc
Hands on knowledge of AUTOSAR Classic on various layers - MCAL/BSW/CDD/RTE/Applications etc
Experience in working on Aurix or any other advanced micro controllers.
Knowledge of automotive diagnostics - UDS, DoIP, etc
Advantageous
Experience with board bring-up
Experience in working on Aurix or any other advanced micro controllers.
Experience in reading schematics and data sheets
Experience in debugging of low-level embedded projects - Lauterbach, iSystem etc
Knowledge of automotive vehicle communication networks, such as CAN, CAN-FD, Ethernet, LIN
Experience with scripting tools and methods to optimize SW development and testing activities
Experience with testing techniques, e.g. unit, HIL, SIL testing
Experience in Functional Safety (FuSa) and ISO 26262
Knowledge of MISRA C/C++ rules and automotive SPICE
Knowledge of ASPICE, V-Model, functional safety topics
Education
BS minimum in the areas of Computer Science, Electrical Engineering or other related fields
Ideally 5+ years of work experience, 3 years with a masters degree
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Implement efficient and robust software for our embedded autonomous driving compute platform, such as sensor drivers, middleware components, diagnostics, perception/planning/control modules, and ADAS/AD customer features
Optimize performance, safety and security of the software using state-of-the art algorithms and dedicated hardware components
Integrate, test and validate software components to ensure the required high software quality level and conformity to industry standards
Be part of a fast-paced, highly motivated agile team developing cutting-edge ADAS/AD customer features!
Qualifications
Demonstrated excellence in C programming skills in the embedded context
Experience with real-time operating systems, micro-controllers and their standard peripheral components
A proven track record of developing and delivering AUTOSAR compliant software for embedded devices or controllers
Proficiency in Classic AUTOSAR stack and familiarity with an AUTOSAR configuration tools
Experience in AUTOSAR configuration tools like EB Tresos, DaVinci Configurator, DaVinci Developer etc
Hands on knowledge of AUTOSAR Classic on various layers - MCAL/BSW/CDD/RTE/Applications etc
Experience in working on Aurix or any other advanced micro controllers.
Knowledge of automotive diagnostics - UDS, DoIP, etc
Advantageous
Experience with board bring-up
Experience in working on Aurix or any other advanced micro controllers.
Experience in reading schematics and data sheets
Experience in debugging of low-level embedded projects - Lauterbach, iSystem etc
Knowledge of automotive vehicle communication networks, such as CAN, CAN-FD, Ethernet, LIN
Experience with scripting tools and methods to optimize SW development and testing activities
Experience with testing techniques, e.g. unit, HIL, SIL testing
Experience in Functional Safety (FuSa) and ISO 26262
Knowledge of MISRA C/C++ rules and automotive SPICE
Knowledge of ASPICE, V-Model, functional safety topics
Education
BS minimum in the areas of Computer Science, Electrical Engineering or other related fields
Ideally 5+ years of work experience, 3 years with a masters degree
#J-18808-Ljbffr