<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;">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;"><strong>In this role, you will:</strong></span></div>
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<li style="font-size: 12pt;"><span style="font-size: 12pt;">Design and develop multimodal transformer architectures that fuse camera, LiDAR, and radar into unified representations</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Research and implement cross-modal attention mechanisms, token fusion strategies, and efficient multi-stream tokenization</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Build scalable training pipelines for large-scale multimodal transformers across massive real-world datasets</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Explore self-supervised and contrastive pretraining objectives that learn transferable multimodal representations</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Optimize transformer models for real-time inference under latency and compute constraints</span></li>
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<div><span style="font-size: 12pt;"><strong>What you’ll bring:</strong></span></div>
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<li style="font-size: 12pt;"><span style="font-size: 12pt;">BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience with transformer architectures, particularly in multimodal or multi-stream settings</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Familiarity with cross-attention, token fusion, or modality alignment techniques</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong understanding of scalable training for large models, including distributed training and mixed-precision optimization</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Passion for building AI that reasons over the full breadth of sensory input to operate safely in the real world</span></li>
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<p class="p2"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>What we offer:</strong></span></p>
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<li style="font-size: 12pt;"><span style="font-size: 12pt;">Competitive compensation package including equity and annual bonuses</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">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;"><span style="font-size: 12pt;">MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Flexible PTO, 10 paid holidays, and generous parental leave policies</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Our office is centrally located in Mountain View, CA</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Long Term Disability, Short Term Disability, Life Insurance</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) </span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Fidelity 401(k)</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Commuter, FSA, Dependent Care FSA, HSA</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Various incentive programs (referral bonuses, patent bonuses, etc.)</span></li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The pay range listed below reflects the base salary <strong data-stringify-type="bold">in our SF/Silicon Valley location, </strong>across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package</p></div><div class="title">California Pay Range</div><div class="pay-range"><span>$170,000</span><span class="divider">—</span><span>$240,000 USD</span></div></div></div><div class="content-conclusion"><div> </div>
<div>At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.</div>
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<div>In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate’s residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate’s residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.</div>
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<div><em>We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](</em><em><a href="https://endorsed.com/local-law-144" target="_blank" data-sk="tooltip_parent">https://endorsed.com/local-law-144</a></em><em>). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact </em><em><a href="mailto:careers@kodiak.ai" target="_blank" data-sk="tooltip_parent">careers@kodiak.ai</a></em><em> with "Separate Review Request" in the email subject line.</em></div>
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