Sr. Optimization Engineer, NVH CAE

Leading the future in luxury electric and mobilityAt Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.
The Sr. CAE Optimization Engineer will be supporting many teams such as crash, NVH, durability, production, manufacturing design. They will be using their optimization and data analytics skills to solve problems in their own domain i.e. CAE and structures and also in domain where they are not expert. Problem solving and critical thinking skills are essential since complex problems need to be broken down into solvable blocks. The candidate must be highly motivated and interested in exploring new things  and be able to separate opinions from fact and highly data driven.

The Role

• Set up optimization - design responses, constraints, design variables, objective - and post-process the results
• Interpret optimization results and developing realistic and manufacturable solutions
• Sub-system level optimization for modes, stiffness, stress requirements
• Full vehicle level mass optimization
• Multi-domain optimization
• Optimization of castings meshed as 2D/3D
• Gauge, Free-Size, Topology, Topography optimizations
• Multi-material optimization beneficial
• Collaborate and work with other teams to develop optimized solutions that work for all
• Be able to work independently and give design directions during the concept design phase with initial design space.
• Use optimization tools and low-fidelity CAE methods to establish optimal load paths which considers multiple attributes (i.e.Crash, NVH, durability).
• Domain knowledge is equally important as optimization tools knowledge since domain knowledge will help to develop simplified simulation models to understand the systems a lot quicker.
• Develop new techniques and process
• Provide automation support for the team to improve team performance

Qualifications

• 5 + years of related experience with a Bachelor's degree; or 3 years with a Master's degree; or a PhD without experience; or equivalent work experience. Degree in Mechanical Engineering or a related field. 
• Thorough understanding of finite element analysis. MUST have hands-on experience with solvers such as LSDYNA, OPTISTRUCT/NASTRAN. Pre- and post-processing tools like OASYS, ANSA, META, Hyperworks
• Experience with CAE optimization methods
• Good knowledge of crash, NVH and durability
• Experience in Altair HyperStudy. LS-OPT, modeFRONTIER, Genesis or other optimization packages.
• Good scripting skills in tcl and python and knowledge of Ansa/Meta & 
• Hyperworks API would be a benefit

Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.California (Bay Area) - $115,000-165,000 per year
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
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