ADAS simulation engineer
Apply NowCompany: Tranzeal Incorporated
Location: Newark, CA 94560
Description:
Job Description:
o Conduct virtual validation of ADAS/AD driving, safety & parking functions such as Adaptive Cruise Control, Highway Assist, Lane Change Assist, Automatic Emergency Braking, Cross-Traffic Alert, Lane Departure Protection, Automated Parking etc.
o Contribute to creating & updating the virtual model & simulation setup; create & execute scenarios for features validation at vehicle level, post-process results, generate report, discuss & present results to ADAS leadership for drawing appropriate conclusions.
o Be responsible for developing necessary pre & post-processing scripts, selection of scenarios, mapping of virtual validation cases with feature requirements while ensuring appropriate model fidelity.
o Correlate virtual modeling results with actual vehicle test data as necessary and appropriate for different fidelity models.
o Leverage state-of-the-art processes, virtual validation tools, data transfer & analysis in a highly interactive and collaborative environment.
o Facilitate and align related cross-functional technical teams such as ADAS software development (motion planning, perception etc.), vehicle chassis, powertrain, infotainment for ADAS system level validation and development activities.
o Work with suppliers as necessary and represent Lucid ADAS systems validation team.
o Explore various approaches for virtual validation (HIL, SIL and Vehicle-In-Loop).
Expectations:
o Experience developing and executing virtual validation test plans for ADAS features on high performance computers or cloud
o Experience with ADAS virtual simulation tools & methods - IPG CarMaker, Applied Intuition, CARLA, CarSim, Ansys, Simens or other such tools; dSpace or National Instruments HILs etc.
o Experience and understanding of Open Scenario format
o Experience in working with ADAS or AD automotive features for mass production
o Working experience at automotive Tier 1/2 suppliers or OEMs, with an understanding of automotive processes and workflows
o Programming skills related to simulation automation, results post-processing etc. (e.g. Python, C/C++, MatLab/Simulink)
o Capability and creativity to successfully complete projects with unconventional ideas in highly constrained, innovative startup environments
o Excellent communication skills (verbal and written) & ownership mindset
Advantageous:
o Previous experience of simulating ADAS/AD features at OEM or Tier 1
o Experience in developing models from scratch, model correlation and executing scenarios on cloud
o On-road or proving ground vehicle testing experience for ADAS features a big plus
o Understanding of SOTIF & coverage, ISO 26262, NCAP
o Broad understanding of various ADAS/AD systems and the interactions between mechanical, electrical and software components within the system
o Experience with Vector tools: CANoe, CANape and CAPL
o Proficiency with agile development tools and environments (Jira, Jama, ...)
Requirements:
o BS minimum in System Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or similar and 2 years of engineering experience in the automotive industry
OR
o MS minimum in System Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or similar
o Conduct virtual validation of ADAS/AD driving, safety & parking functions such as Adaptive Cruise Control, Highway Assist, Lane Change Assist, Automatic Emergency Braking, Cross-Traffic Alert, Lane Departure Protection, Automated Parking etc.
o Contribute to creating & updating the virtual model & simulation setup; create & execute scenarios for features validation at vehicle level, post-process results, generate report, discuss & present results to ADAS leadership for drawing appropriate conclusions.
o Be responsible for developing necessary pre & post-processing scripts, selection of scenarios, mapping of virtual validation cases with feature requirements while ensuring appropriate model fidelity.
o Correlate virtual modeling results with actual vehicle test data as necessary and appropriate for different fidelity models.
o Leverage state-of-the-art processes, virtual validation tools, data transfer & analysis in a highly interactive and collaborative environment.
o Facilitate and align related cross-functional technical teams such as ADAS software development (motion planning, perception etc.), vehicle chassis, powertrain, infotainment for ADAS system level validation and development activities.
o Work with suppliers as necessary and represent Lucid ADAS systems validation team.
o Explore various approaches for virtual validation (HIL, SIL and Vehicle-In-Loop).
Expectations:
o Experience developing and executing virtual validation test plans for ADAS features on high performance computers or cloud
o Experience with ADAS virtual simulation tools & methods - IPG CarMaker, Applied Intuition, CARLA, CarSim, Ansys, Simens or other such tools; dSpace or National Instruments HILs etc.
o Experience and understanding of Open Scenario format
o Experience in working with ADAS or AD automotive features for mass production
o Working experience at automotive Tier 1/2 suppliers or OEMs, with an understanding of automotive processes and workflows
o Programming skills related to simulation automation, results post-processing etc. (e.g. Python, C/C++, MatLab/Simulink)
o Capability and creativity to successfully complete projects with unconventional ideas in highly constrained, innovative startup environments
o Excellent communication skills (verbal and written) & ownership mindset
Advantageous:
o Previous experience of simulating ADAS/AD features at OEM or Tier 1
o Experience in developing models from scratch, model correlation and executing scenarios on cloud
o On-road or proving ground vehicle testing experience for ADAS features a big plus
o Understanding of SOTIF & coverage, ISO 26262, NCAP
o Broad understanding of various ADAS/AD systems and the interactions between mechanical, electrical and software components within the system
o Experience with Vector tools: CANoe, CANape and CAPL
o Proficiency with agile development tools and environments (Jira, Jama, ...)
Requirements:
o BS minimum in System Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or similar and 2 years of engineering experience in the automotive industry
OR
o MS minimum in System Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or similar