Staff Machine Learning Engineer – (ADAS/Autonomous Driving)

<div class="content-intro"><div><u><strong>Leading the future in luxury electric and mobility</strong></u></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><span style="text-decoration: underline;"><span data-contrast="none"><span data-ccp-parastyle="heading 3">About Lucid</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":160,"335559739":80}"> </span></span></p> <p><span data-contrast="auto">At Lucid, we are redefining the luxury electric vehicle experience, combining cutting-edge technology with exceptional design to deliver intuitive, safe, and exhilarating mobility. Join our team and help shape the future of autonomous driving.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span style="text-decoration: underline;"><span data-contrast="none"><span data-ccp-parastyle="heading 3">The Role</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":160,"335559739":80}"> </span></span></p> <p><span data-contrast="auto">We are seeking a </span><strong><span data-contrast="auto">Staff Software Engineer</span></strong><span data-contrast="auto"> to lead the integration and deployment of advanced perception models into Lucid’s production ADAS and autonomous driving systems. This role focuses on </span><strong><span data-contrast="auto">productizing ML models</span></strong><span data-contrast="auto">, ensuring robust performance on automotive-grade hardware, and building scalable pipelines for deployment and validation. You will collaborate with ML researchers, perception engineers, and hardware teams to deliver high-performance, safety-compliant solutions.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="none"><span data-ccp-parastyle="heading 3">Key Responsibilities</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":160,"335559739":80}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Model Integration Productization</span></strong><span data-contrast="auto"> </span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="o" data-font="Courier New" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Courier New","469769242":[9675],"469777803":"left","469777804":"o","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="2"><span data-contrast="auto">Deploy and integrate perception models (camera, LiDAR) into Lucid’s centralized software stack.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="o" data-font="Courier New" d ... (truncated, view full listing at source)