Harbinger builds electric medium-duty truck chassis for commercial fleet operators such as FedEx.
<div class="content-intro"><p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>About Harbinger</strong></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbinger’s best-in-class team of EV, battery, and drivetrain experts have pooled their deep experience to bring a first-of-its-kind EV platform to support the growing demand for medium-duty EVs and Hybrids. Harbinger: Familiar Form, Revolutionary Foundation.</span></p></div><p> </p> <p><strong data-stringify-type="bold">We are seeking a highly skilled Senior Deep Learning Engineer to drive the development and deployment of advanced perception models for Advanced Driver Assistance Systems (ADAS). The successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms. This position requires a balance of deep technical expertise, strong analytical thinking, and cross-functional collaboration. This role would sit in Mountain View, CA with PhantomAI, Harbinger's ADAS division. </strong></p> <p><strong><br>Responsibilities</strong></p> <ul> <li data-stringify-indent="0" data-stringify-border="0">Design and implement advanced deep learning architectures to enhance perception capabilities within ADAS systems.</li> <li data-stringify-indent="0" data-stringify-border="0">Maintain and continuously improve existing models by optimizing performance, addressing issues, and refining architecture and algorithms.</li> <li data-stringify-indent="0" data-stringify-border="0">Perform detailed root cause analysis of production issues and develop sustainable, high-quality solutions.</li> <li data-stringify-indent="0" data-stringify-border="0">Optimize model performance with a focus on latency, efficiency, and resource utilization for real-time embedded deployment.</li> <li data-stringify-indent="0" data-stringify-border="0">Integrate and validate deep learning algorithms on automotive-grade hardware and embedded SoCs.</li> <li data-stringify-indent="0" data-stringify-border="0">Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.</li> <li data-stringify-indent="0" data-stringify-border="0">Provide regular updates and technical reports on model development, maintenance progress, and performance metrics to management.</li> </ul> <p><strong><br>Required Qualifications</strong></p> <ul> <li data-stringify-indent="0" data-stringify-border="0">5+ years of professional experience developing, training, validating, and deploying deep learning-based perception models for ADAS or related computer vision applications.</li> <li data-stringify-indent="0" data-stringify-border="0">In-depth understanding of training and inference pipelines, including data loading, augmentation, and loss function design.</li> <li data-stringify-indent="0" data-stringify-border="0">Advanced degree (M.S. or Ph.D.) in Computer Vision, Robotics, Machine Learning, or a closely related discipline, or equivalent industry experience.</li> <li data-stringify-indent="0" data-stringify-border="0">Strong proficiency in Python and a deep understanding of software design principles and development best practices.</li> <li data-stringify-indent="0" data-stringify-border="0">Expertise in PyTorch (preferred) or TensorFlow for large-scale model development and experimentation.</li> <li data-stringify-indent="0" data-stringify-border="0">Practical experience with data pipelines, distributed training, and machine learning experiment management tools.</li> <li data-stringify-indent="0" data-stringify-border="0">Proven ability to work effectively in a collaborative, cross-functional team environment.</li> </ul> <p><strong><br>Preferred Qualifications</strong></p> <ul> <li data-stringify-indent="0" data-stringify-border="0">Comprehensive understanding of machine learning algorithms, including classification, regression, and clustering methods.</li> <li data-stringify-indent="0" data-stringify-border="0">Experience deploying and optimizing models for embedded or automotive SoCs (e.g., NVIDIA Drive, TI TDA4, Qualcomm Snapdragon).</li> <li data-stringify-indent="0" data-stringify-border="0">Proficiency in model optimization techniques such as quantization, pruning, and knowledge distillation.</li> <li data-stringify-indent="0" data-stringify-border="0">Doctorate (Ph.D.) in Computer Science, Artificial Intelligence, or related field is a plus.</li> <li data-stringify-indent="0" data-stringify-border="0">Strong programming experience in Python and/or C++ within Linux development environments.</li> <li data-stringify-indent="0" data-stringify-border="0">Familiarity with automotive perception workflows, datasets, and evaluation frameworks (e.g., KITTI, Waymo, Euro NCAP)</li> </ul> <p> </p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><div class="p-rich_text_section"><strong>Key Benefits & Perks:</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Comprehensive Health, Dental & Vision (HDV) – 100% employee covered</li> <li data-stringify-indent="0" data-stringify-border="0">Early-stage Stock Options</li> <li data-stringify-indent="0" data-stringify-border="0">Robust Retirement Savings (401k, HSA, FSA)</li> <li data-stringify-indent="0" data-stringify-border="0">Generous Paid Time Off (PTO) & Parental Leave</li> <li data-stringify-indent="0" data-stringify-border="0">Annual Vacation Bonus</li> <li data-stringify-indent="0" data-stringify-border="0">Wellness & F