About the role
<p><strong>About Us</strong></p> <p>At Phantom AI, we’ve built a team of incredibly talented and ambitious people challenging the norm in the automotive industry. We are building cost-effective L2/L3 solutions to reduce the burden of everyday driving and make the roads safe for everyone. For instance, we believe democratizing technologies such as Automatic Emergency Braking and Emergency Lane Support is the first priority before tackling a fully self-driving vehicle. Our main customers are Tier 1 automotive manufacturers who are focused on delivering L2/L3 solutions and in the future will deliver full autonomy.</p> <p>We differentiate ourselves from other autonomous driving startups through a combination of state-of-the-art technological know-how and real automotive experiences of shipping ADAS systems at a volume production scale. If you feel that you have the passion, commitment, and drive to challenge the status quo within the automotive industry, we would love to hear from you.</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.</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>