Kodiak Robotics is an autonomous trucking company developing self-driving heavy vehicles and commercial logistics operations.
<div class="content-intro"><p>Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.</p></div><div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Kodiak's autonomy stack is built on AI that fuses diverse sensor streams into a unified, actionable understanding of the world. We are developing GigaFusionNet – a large-scale multimodal transformer that learns rich, joint representations across camera, LiDAR, and radar through attention-based fusion. We are looking for engineers to push the boundaries of how transformer architectures combine and reason over heterogeneous sensor data.This role is open to all levels – from those eager to contribute to cutting-edge research to experts driving innovation at scale.</span><br><br><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>In this role, you will:</strong></span></div> <ul data-list-tree="true" data-indent="0" data-border="0"> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Design and develop multimodal transformer architectures that fuse camera, LiDAR, and radar into unified representations</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Research and implement cross-modal attention mechanisms, token fusion strategies, and efficient multi-stream tokenization</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Build scalable training pipelines for large-scale multimodal transformers across massive real-world datasets</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Explore self-supervised and contrastive pretraining objectives that learn transferable multimodal representations</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Optimize transformer models for real-time inference under latency and compute constraints</span></li> </ul> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>What you’ll bring:</strong></span></div> <ul data-list-tree="true" data-indent="0" data-border="0"> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">BS, MS, or PhD in AI, Computer Science, or a related field</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">4+ years experience with transformer architectures, particularly in multimodal or multi-stream settings</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Familiarity with cross-attention, token fusion, or modality alignment techniques</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Strong understanding of scalable training for large models, including distributed training and mixed-precision optimization</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Passion for building AI that reasons over the full breadth of sensory input to operate safely in the real world</span></li> </ul> <p class="p2"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>What we offer:</strong></span></p> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Competitive compensation package including equity and annual bonuses</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Flexible PTO, 10 paid holidays, and generous parental leave policies</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Our office is centrally located