<div><div><strong>Leading the future in luxury electric and mobility</strong></div><div>At 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.</div><div> </div><div>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.</div><div> </div><div>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.</div></div><p><strong>Role:</strong></p><p>Staying at the forefront of machine learning based autonomy stack and enable development of such. Enable data</p><p>· Develop in house simulation data engine, starting with object and lane based closed loop re-simulation using in-house tools and <em>cloud</em> infrastructure</p><p>· Research, develop, and implement state-of-the-art synthetic sensor simulation methods. Update the simulation data engine with controls to sensor modeling. Integrate with software stack</p><p>· Collaborate with suppliers or develop in house tools for next generation data based simulation stack. Explore open source simulation setup such as SUMO, WayMax etc.</p><p>· Collaborate with stakeholders across autonomy, mainly working on the AI/ML based software stack</p><p><strong>Required Qualifications:</strong></p><p>· Applied research that fuses cutting‑edge ML (e.g., NeRF, Gaussian Splatting, diffusion models) with classical simulation pipelines to boost realism and signal‑to‑noise.</p><p>· Deep knowledge of modern ML/DL — generative modeling, non‑linear optimization, sensor or graphics neural nets, and the math to adapt them to new simulation problems</p><p>· Master’s or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field</p><p>· Expert-level proficiency in <em>Python</em> and ML libraries such as PyTorch or TensorFlow</p><p>· Expert-level proficiency in modern ML/DL — generative modeling, non‑linear optimization, sensor or graphics neural nets, and the math to adapt them to new simulation problems</p><p>· Proficiency in <em>C</em>++ and strong hands-on experience with software engineering design principles</p><p><strong>Preferred Qualifications:</strong></p><p>· Proven track record scaling ML workloads — multi‑GPU training, low‑latency inference, deterministic replay, and <em>cloud</em> orchestration for large‑scale simulation runs</p><p>· Deep understanding of 3D geometry and state estimation fundamentals.</p><p>· Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc...), including noise modeling.</p><p>· Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA).</p><p> </p><div><div><div><div><strong>Salary Range</strong>: 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.</div><div> </div><div><strong>Additional Compensation and Benefits</strong>: 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.)</div></div><div>Base Pay Range (Annual)</div><div><span>$156,800</span><span>—</span><span>$215,600 USD</span></div></div></div><div><div><p>By Submitting your application, you understand and agree that your personal data will be processed in accordance with our <a href="https://www.lucidmotors.com/s3fs-public/pdf/candidate-privacy-notice.pdf">Candidate Privacy Notice</a>. If you are a California resident, please refer to our <a href="https://www.lucidmotors.com/s3fs-public/pdf/california-candidate-privacy-notice.pdf">California Candidate Privacy Notice</a>.</p></div><div><strong>To all recruitment agencies</strong>: <em>Lucid Motors <strong>does not</strong> accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. </em></div><div> </div></div>

<p>Lucid Motors sets out to create a car that elevates the human experience and transcends the perceived limitations of space, performance, and intelligence. A car that is intuitive, liberating, and designed for all the ways people get around. Lucid Motors plans to lead in this new era of mobility by returning to the fundamentals of great design &ndash; where every decision we make is in service of the individual. Because when you are no longer bound by convention, you are free to define your own path.</p>

Senior Machine Learning Software Engineer, 3D Simulation Reconstruction

<div><div><strong>Leading the future in luxury electric and mobility</strong></div><div>At 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.</div><div>&nbsp;</div><div>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.</div><div>&nbsp;</div><div>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.</div></div><p><strong>Role:</strong></p><p>Staying at the forefront of machine learning based autonomy stack and enable development of such. Enable data</p><p>· Develop in house simulation data engine, starting with object and lane based closed loop re-simulation using in-house tools and&nbsp;<em>cloud</em>&nbsp;infrastructure</p><p>· Research, develop, and implement state-of-the-art synthetic sensor simulation methods. Update the simulation data engine with controls to sensor modeling. Integrate with software stack</p><p>· Collaborate with suppliers or develop in house tools for next generation data based simulation stack. Explore open source simulation setup such as SUMO, WayMax etc.</p><p>· Collaborate with stakeholders across autonomy, mainly working on the AI/ML based software stack</p><p><strong>Required Qualifications:</strong></p><p>· Applied research that fuses cutting‑edge ML (e.g., NeRF, Gaussian Splatting, diffusion models) with classical simulation pipelines to boost realism and signal‑to‑noise.</p><p>· Deep knowledge of modern ML/DL — generative modeling, non‑linear optimization, sensor or graphics neural nets, and the math to adapt them to new simulation problems</p><p>· Master’s or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field</p><p>· Expert-level proficiency in&nbsp;<em>Python</em>&nbsp;and ML libraries such as PyTorch or TensorFlow</p><p>· Expert-level proficiency in modern ML/DL — generative modeling, non‑linear optimization, sensor or graphics neural nets, and the math to adapt them to new simulation problems</p><p>· Proficiency in&nbsp;<em>C</em>++ and strong hands-on experience with software engineering design principles</p><p><strong>Preferred Qualifications:</strong></p><p>· Proven track record scaling ML workloads — multi‑GPU training, low‑latency inference, deterministic replay, and&nbsp;<em>cloud</em>&nbsp;orchestration for large‑scale simulation runs</p><p>· Deep understanding of 3D geometry and state estimation fundamentals.</p><p>· Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc...), including noise modeling.</p><p>· Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA).</p><p>&nbsp;</p><div><div><div><div><strong>Salary Range</strong>: 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.</div><div>&nbsp;</div><div><strong>Additional Compensation and Benefits</strong>: 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. &nbsp;(Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)</div></div><div>Base Pay Range (Annual)</div><div><span>$156,800</span><span>—</span><span>$215,600 USD</span></div></div></div><div><div><p>By Submitting your application, you understand and agree that your personal data will be processed in accordance with our <a href="https://www.lucidmotors.com/s3fs-public/pdf/candidate-privacy-notice.pdf">Candidate Privacy Notice</a>. If you are a California resident, please refer to our <a href="https://www.lucidmotors.com/s3fs-public/pdf/california-candidate-privacy-notice.pdf">California Candidate Privacy Notice</a>.</p></div><div><strong>To all recruitment agencies</strong>: <em>Lucid Motors <strong>does not</strong> accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.&nbsp;</em></div><div>&nbsp;</div></div>

Senior Machine Learning Software Engineer, 3D Simulation Reconstruction

About the Job

About the Company

Lucid Motors

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