Kodiak

<div><p>Kodiak AI, Inc. (Nasdaq: KDK), founded in 2018, is a leader in Physical AI, developing driverless technology that powers machines that move. Its Kodiak Driver is a vehicle-agnostic autonomous driving system that combines AI-powered software with modular hardware. Today it operates in long-haul trucking, industrial trucking, and defense. In 2024, Kodiak launched commercial Driver-as-a-Service operations with no one in the cab, and plans to launch driverless long-haul service between Dallas and Houston by the end of 2026.<br /><br />Kodiak has partnered with many of the biggest names in freight, including Bosch for scaled hardware production, AWS, and leading customers including Atlas Energy Solutions, IKEA, Bridgestone, Werner Enterprises, C.R. England, Roehl Transport, and General Dynamics Land Systems.</p></div><p><span><strong>Data Engineering Intern</strong></span><br /><span>We are looking for a highly skilled Data Engineering Intern to join us and solve real-world robotics problems. Our ideal candidates exhibit a can-do attitude and approach their work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields and possess the ability to learn quickly in a fast-paced environment.</span><br /><br /><span><strong>In this role, you will:</strong></span><br /><span>• Optimize and maintain AuroraDB, ElasticSearch, and other data stores to ensure high availability, scalability, and performance for critical robotics and safety datasets.</span><br /><br /><span>• Design, build, and maintain robust data pipelines to facilitate the continuous development of our data platform, ensuring data cleanliness, reliability, and efficient ingestion.</span><br /><br /><span>• Explore, evaluate, and scale QuickSight and modular dashboarding frameworks/factories to streamline reporting and surface actionable insights across the organization.</span><br /><br /><span><strong>Qualifications:</strong></span><br /><span>• Pursuing a BS, MS, or PhD in Computer Science, Data Engineering, Statistics, or a related quantitative technical field.</span><br /><br /><span>• Strong working knowledge of relational and/or object database design, query optimization, and schema management.</span><br /><br /><span>• Experience or strong familiarity with cloud-based data platforms such as AWS Aurora DB and ElasticSearch, and building associated ETL/ELT pipelines.</span><br /><br /><span>• Familiarity with BI tools, dashboarding frameworks, or automated reporting factories (e.g., AWS QuickSight, Kibana, or custom visualization frameworks).</span><br /><br /><span>• Thinking with a safety mindset and an interest in autonomous systems or robotics.</span><br /><br /><span>• Ability to take ownership and enjoy working collaboratively to deliver dependable data solutions.</span><br /><br /><span>• Experience with version control systems (e.g., Git) and modern software development workflows.</span><br /><br /><span><strong>Bonus Points:</strong></span><br /><span>• Hands-on internship or project experience building automated data pipelines or managing cloud database infrastructure.</span><br /><br /><span>• Familiarity with infrastructure-as-code or automated data integration frameworks.</span></p>
<p><span><strong>Internship Program Details:</strong></span></p>
<ul>
<li><span>Start Date: January 2027</span></li>
<li><span>Our internship program is 12-16 weeks; the end date is flexible based on individual needs.</span></li>
<li><span>Location: Mountain View, CA.</span></li>
<li><span>Housing: Interns are responsible for housing.</span></li>
</ul>
<p><span><strong>What We Offer:</strong></span></p>
<ul>
<li><span>A fast paced environment where we work with talented, committed and supportive teammates.</span></li>
<li><span>Competitive pay.</span></li>
<li><span>Excellent medical, dental and vision benefits.  </span></li>
<li><span>A beautiful facility in Mountain View.</span></li>
<li><span>We love our dogs, so we are a dog friendly office!</span></li>
<li><span>Free catered lunch.</span></li>
</ul>
<p> </p><div><div><div><p>The pay range listed below reflects the base salary <strong>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>California Pay Range</div><div><span>$10,000</span><span>—</span><span>$10,000 USD</span></div></div></div><div><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>
<div> </div>
<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>
<div> </div>
<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" rel="noopener noreferrer ugc">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">careers@kodiak.ai</a></em><em> with "Separate Review Request" in the email subject line.</em></div>
<p> </p></div>

Winter 2027 Intern, Data Engineering

<div><p>Kodiak AI, Inc. (Nasdaq: KDK), founded in 2018, is a leader in Physical AI, developing driverless technology that powers machines that move. Its Kodiak Driver is a vehicle-agnostic autonomous driving system that combines AI-powered software with modular hardware. Today it operates in long-haul trucking, industrial trucking, and defense. In 2024, Kodiak launched commercial Driver-as-a-Service operations with no one in the cab, and plans to launch driverless long-haul service between Dallas and Houston by the end of 2026.<br /><br />Kodiak has partnered with many of the biggest names in freight, including Bosch for scaled hardware production, AWS, and leading customers including Atlas Energy Solutions, IKEA, Bridgestone, Werner Enterprises, C.R. England, Roehl Transport, and General Dynamics Land Systems.</p></div><div><span>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 a technical leader to own the architecture direction of this effort and grow the engineers building it.</span><br /><br /><span>This is a senior individual contributor role with significant scope. You will set technical direction for multimodal fusion at Kodiak, lead the workstream executing against it, and be accountable for the results landing on trucks.</span><br /><br /><span><strong>In this role, you will:</strong></span></div>
<ul>
<li><span>Own the architecture roadmap for multimodal transformers that fuse camera, LiDAR, and radar into unified representations</span></li>
<li><span>Lead the project end to end: problem framing, experiment design, implementation, and production deployment</span></li>
<li><span>Drive research direction on cross-modal attention, token fusion strategies, and efficient multi-stream tokenization, and make the calls on what gets built</span></li>
<li><span>Set the technical bar through design reviews, code reviews, and architectural decisions on scalable training pipelines</span></li>
<li><span>Mentor junior and mid-level engineers, and raise the level of research execution across the org</span></li>
<li><span>Define the pretraining strategy, including self-supervised and contrastive objectives that learn transferable multimodal representations</span></li>
<li><span>Partner with perception, planning, and infrastructure leads to align model design with system-level latency and compute budgets</span></li>
</ul>
<div><span><strong>What you’ll bring:</strong></span></div>
<ul>
<li><span>PhD with 5+ years of industry experience, or MS/BS with 8+ years, in AI, Computer Science, or a related field</span></li>
<li><span>Track record of leading multi-engineer technical efforts from research through production</span></li>
<li><span>Deep expertise in transformer architectures, particularly in multimodal or multi-stream settings</span></li>
<li><span>Strong command of cross-attention, token fusion, and modality alignment techniques</span></li>
<li><span>Experience mentoring engineers and growing technical talent</span></li>
<li><span>Expert proficiency in Python and PyTorch, including large-scale distributed training and mixed-precision optimization</span></li>
<li><span>Ability to influence technical direction across teams without formal authority</span></li>
<li><span>Passion for building AI that reasons over the full breadth of sensory input to operate safely in the real world</span></li>
</ul>
<p><span><strong>What we offer:</strong></span></p>
<ul>
<li><span>Competitive compensation package including equity and annual bonuses</span></li>
<li><span>Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)</span></li>
<li><span>MetLife Legal Services, Identity &amp; Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, &amp; Critical Illness Insurance</span></li>
<li><span>Flexible PTO, 10 paid holidays, and generous parental leave policies</span></li>
<li><span>Our office is centrally located in Mountain View, CA</span></li>
<li><span>Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging</span></li>
<li><span>Long Term Disability, Short Term Disability, Life Insurance</span></li>
<li><span>Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) </span></li>
<li><span>Fidelity 401(k)</span></li>
<li><span>Commuter, FSA, Dependent Care FSA, HSA</span></li>
<li><span>Various incentive programs (referral bonuses, patent bonuses, etc.)</span></li>
</ul><div><div><div><p>The pay range listed below reflects the base salary <strong>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>California Pay Range</div><div><span>$230,000</span><span>—</span><span>$300,000 USD</span></div></div></div><div><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>
<div> </div>
<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>
<div> </div>
<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" rel="noopener noreferrer ugc">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">careers@kodiak.ai</a></em><em> with "Separate Review Request" in the email subject line.</em></div>
<p> </p></div>

Technical Lead, Multimodal Transformers

<div><p>Kodiak AI, Inc. (Nasdaq: KDK), founded in 2018, is a leader in Physical AI, developing driverless technology that powers machines that move. Its Kodiak Driver is a vehicle-agnostic autonomous driving system that combines AI-powered software with modular hardware. Today it operates in long-haul trucking, industrial trucking, and defense. In 2024, Kodiak launched commercial Driver-as-a-Service operations with no one in the cab, and plans to launch driverless long-haul service between Dallas and Houston by the end of 2026.<br /><br />Kodiak has partnered with many of the biggest names in freight, including Bosch for scaled hardware production, AWS, and leading customers including Atlas Energy Solutions, IKEA, Bridgestone, Werner Enterprises, C.R. England, Roehl Transport, and General Dynamics Land Systems.</p></div><div><span>Kodiak is building AI that doesn't just perceive the world, it learns how the physics of the world works. We are developing large-scale generative world models that learn to predict realistic, physically consistent futures from real-world sensor data. This capability serves as the foundation for scalable closed-loop training, validation, and long-tail scenario generation, and is distilled into the onboard models that drive our autonomous trucks. We are looking for a research scientist to lead the design and development of world models capable of generating multi-sensor, multi-view, temporally coherent driving scenarios conditioned on actions, 3D scene context, and text.</span></div>
<div> </div>
<div><strong><span>In this role, you will:</span></strong></div>
<ul>
<li><span>Design and train generative world models that synthesize realistic multi-camera video and LiDAR conditioned on ego trajectories, 3D scene context, and text</span></li>
<li><span>Research and implement conditional diffusion architectures for driving, including spatiotemporal attention, latent space design, and action-conditioned generation</span></li>
<li><span>Develop techniques for multi-view geometric consistency in generated outputs, drawing on neural rendering, cross-view attention, and 3D-aware generative approaches</span></li>
<li><span>Build methods for joint multimodal generation that maintain cross-sensor consistency between camera, LiDAR, and radar outputs</span></li>
<li><span>Design evaluation frameworks that measure world model quality beyond pixel-level metrics, including scenario fidelity and autoregressive stability</span></li>
<li><span>Scale training pipelines to learn from thousands of hours of real-world driving data across multiple sensor modalities</span></li>
</ul>
<div><strong><span>What you'll bring:</span></strong></div>
<ul>
<li><span>PhD in Computer Science, AI, Robotics, or a related field, with a focus on generative modeling, neural rendering, or video synthesis</span></li>
<li><span>Strong publication record or demonstrated research contributions in diffusion models, video generation, neural radiance fields, 3D-aware generative models, or world models</span></li>
<li><span>Experience with neural rendering and view synthesis and an understanding of multi-view geometric consistency</span></li>
<li><span>Proficiency working with multimodal sensor data (camera, LiDAR, radar) and familiarity with 3D representations such as BEV grids, voxel fields, or tri-planes</span></li>
<li><span>Strong implementation skills in Python and PyTorch, with experience training large generative models at scale using distributed training</span></li>
<li><span>Passion for building AI that understands and predicts the physical world to enable safe autonomous driving</span></li>
</ul>
<p><strong><span>What We Offer:</span></strong></p>
<ul>
<li><span>Competitive compensation package including equity and annual bonuses</span></li>
<li><span>Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)</span></li>
<li><span>MetLife Legal Services, Identity &amp; Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, &amp; Critical Illness Insurance</span></li>
<li><span>Flexible PTO, 10 paid holidays, and generous parental leave policies</span></li>
<li><span>Our office is centrally located in Mountain View, CA</span></li>
<li><span>Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging</span></li>
<li><span>Long Term Disability, Short Term Disability, Life Insurance</span></li>
<li><span>Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) </span></li>
<li><span>Fidelity 401(k)</span></li>
<li><span>Commuter, FSA, Dependent Care FSA, HSA</span></li>
<li><span>Various incentive programs (referral bonuses, patent bonuses, etc.)</span></li>
</ul><div><div><div><p>The pay range listed below reflects the base salary <strong>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>California Pay Range</div><div><span>$190,000</span><span>—</span><span>$250,000 USD</span></div></div></div><div><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>
<div> </div>
<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>
<div> </div>
<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" rel="noopener noreferrer ugc">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">careers@kodiak.ai</a></em><em> with "Separate Review Request" in the email subject line.</em></div>
<p> </p></div>

World Model Research Scientist- Physical AI

<div><p>Kodiak AI, Inc. (Nasdaq: KDK), founded in 2018, is a leader in Physical AI, developing driverless technology that powers machines that move. Its Kodiak Driver is a vehicle-agnostic autonomous driving system that combines AI-powered software with modular hardware. Today it operates in long-haul trucking, industrial trucking, and defense. In 2024, Kodiak launched commercial Driver-as-a-Service operations with no one in the cab, and plans to launch driverless long-haul service between Dallas and Houston by the end of 2026.<br /><br />Kodiak has partnered with many of the biggest names in freight, including Bosch for scaled hardware production, AWS, and leading customers including Atlas Energy Solutions, IKEA, Bridgestone, Werner Enterprises, C.R. England, Roehl Transport, and General Dynamics Land Systems.</p></div><p><span>We are seeking a Staff Autonomy Perception Engineer to join our Perception Engineering team. In this role, you will use your expertise in state estimation &amp; multi object tracking to shape the perception stack as we scale, incorporating and developing state of the art algorithms and techniques. You’ll leverage advanced Artificial Intelligence (AI) models and techniques to deploy and scale safe autonomous perception systems. If you're passionate about how robots perceive and understand the world at scale, this role is for you.</span></p>
<p><span><strong>What You'll Do</strong></span></p>
<ul>
<li><span>Define and lead the technical direction for learned scene estimation within the Kodiak Driver</span></li>
<li><span>Architect and implement principled approaches for fusing information across multiple modalities: camera, radar, lidar, thermal, and IMU</span></li>
<li><span>Lead improvements to multi-target tracking including track initiation, measurement-to-track association, and track state maintenance — with a focus on reliability in the hardest real-world conditions</span></li>
<li><span>Develop novel algorithms that incorporate noisy, incomplete measurements into a robust foundational understanding of the world</span></li>
<li><span>Build the tooling, metrics, and visualization infrastructure that lets the team move faster and evaluate progress rigorously</span></li>
<li><span>Set a high technical standard across the Perception team through design reviews, code reviews, and mentorship</span></li>
<li><span>Partner with teams across autonomy to ensure perception performance translates into system-wide safety and reliability</span></li>
</ul>
<p><span><strong>What You'll Bring</strong></span></p>
<ul>
<li><span>BS or MS with at least 8 years of industry experience, or PhD with at least 5 years, building and deploying state estimation and sensor fusion systems</span></li>
<li><span>Deep domain expertise across sensor fusion, state estimation, Kalman filtering, particle filtering, and multi-object tracking</span></li>
<li><span>Strong experience with deep learning and learned scene estimation — you know when to use classical methods and when learned approaches win</span></li>
<li><span>Exceptional C++ skills and a track record of writing highly maintainable, production-quality code in high-reliability systems</span></li>
<li><span>The ability to define metrics, design rigorous evaluations, and use data to make principled engineering decisions</span></li>
<li><span>A history of technical leadership — you have driven projects from ambiguous problem to shipped solution and raised the level of the teams around you</span></li>
<li><span>Strong written and verbal communication; you write clear design docs and build alignment across disciplines</span></li>
</ul>
<p><span><strong>Bonus Points:</strong></span></p>
<ul>
<li><span>Behavior prediction and scene understanding at scale</span></li>
<li><span>Real-time perception systems under latency and compute constraints</span></li>
<li><span>Autonomous vehicle or robotics deployment in unstructured environments</span></li>
<li><span>Experience defining team-level technical roadmaps or leading multi-engineer efforts</span></li>
</ul>
<p><span><strong>What we offer:</strong></span></p>
<ul>
<li><span>Competitive compensation package including equity and annual bonuses</span></li>
<li><span>Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)</span></li>
<li><span>MetLife Legal Services, Identity &amp; Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, &amp; Critical Illness Insurance</span></li>
<li><span>Flexible PTO, 10 paid holidays, and generous parental leave policies</span></li>
<li><span>Our office is centrally located in Mountain View, CA</span></li>
<li><span>Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging</span></li>
<li><span>Long Term Disability, Short Term Disability, Life Insurance</span></li>
<li><span>Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) </span></li>
<li><span>Fidelity 401(k)</span></li>
<li><span>Commuter, FSA, Dependent Care FSA, HSA</span></li>
<li><span>Various incentive programs (referral bonuses, patent bonuses, etc.)</span></li>
</ul><div><div><div><p>The pay range listed below reflects the base salary <strong>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>California Pay Range</div><div><span>$200,000</span><span>—</span><span>$255,000 USD</span></div></div></div><div><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>
<div> </div>
<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>
<div> </div>
<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" rel="noopener noreferrer ugc">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">careers@kodiak.ai</a></em><em> with "Separate Review Request" in the email subject line.</em></div>
<p> </p></div>

Staff Autonomy Engineer, Perception

<div><p>Kodiak AI, Inc. (Nasdaq: KDK), founded in 2018, is a leader in Physical AI, developing driverless technology that powers machines that move. Its Kodiak Driver is a vehicle-agnostic autonomous driving system that combines AI-powered software with modular hardware. Today it operates in long-haul trucking, industrial trucking, and defense. In 2024, Kodiak launched commercial Driver-as-a-Service operations with no one in the cab, and plans to launch driverless long-haul service between Dallas and Houston by the end of 2026.<br /><br />Kodiak has partnered with many of the biggest names in freight, including Bosch for scaled hardware production, AWS, and leading customers including Atlas Energy Solutions, IKEA, Bridgestone, Werner Enterprises, C.R. England, Roehl Transport, and General Dynamics Land Systems.</p></div><p><span>Kodiak's AI is only as good as the speed at which we can train it. Every improvement to our models – from GigaFusionNet to large-scale world models – depends on infrastructure that turns thousands of hours of multimodal driving data into training throughput. We are looking for engineers who make model training fast: streaming massive camera, LiDAR, and radar datasets without stalling a single GPU, sharding data and models efficiently across nodes, and extracting every FLOP from the latest hardware. If you measure your impact in tokens per second and GPU utilization, this role is for you.</span><br /><br /><span><strong>In this role, you will:</strong></span></p>
<ul>
<li><span>Design high-throughput data loading and streaming systems for multimodal sensor data (camera, LiDAR, radar), including dataset formats, sharding strategies, and prefetching pipelines that keep GPUs saturated</span></li>
<li><span>Build and optimize distributed training infrastructure across multi-node GPU clusters, applying data, tensor, pipeline, and fully sharded (FSDP/ZeRO) parallelism to models that don't fit on a single device</span></li>
<li><span>Maximize utilization of modern accelerators such as NVIDIA B200s through mixed-precision training (BF16/FP8), fused kernels, memory optimization, and communication/computation overlap</span></li>
<li><span>Profile end-to-end training pipelines to find and eliminate bottlenecks across storage, network, CPU preprocessing, and GPU compute</span></li>
<li><span>Develop scalable dataset construction pipelines that convert petabytes of raw driving logs into training-ready, streamable formats</span></li>
<li><span>Partner with ML teams to scale new architectures from prototype to full-cluster training runs efficiently and reliably</span></li>
</ul>
<div><span><strong>What you’ll bring:</strong></span></div>
<ul>
<li><span>BS, MS, or PhD in Computer Science or a related field, and at least 2-3 years of industry experience in ML systems or infrastructure</span></li>
<li><span>Hands-on experience with distributed training frameworks and techniques (PyTorch DDP/FSDP, DeepSpeed, Megatron, NCCL) and a strong grasp of parallelism trade-offs</span></li>
<li><span>Experience building high-performance data pipelines for large-scale training, including streaming dataset formats (WebDataset, MosaicML Streaming/MDS, or similar), sharding, and storage/network-aware loading</span></li>
<li><span>Deep understanding of GPU performance: mixed precision, memory hierarchy, kernel fusion, profiling tools (Nsight, PyTorch Profiler), and interconnects (NVLink, InfiniBand)</span></li>
<li><span>Strong Python skills and proficiency in PyTorch internals; systems-level experience (C++/CUDA/Triton) a plus</span></li>
<li><span>Passion for building the infrastructure that lets AI for the physical world train faster, scale further, and improve continuously</span></li>
</ul>
<p><span><strong>What we offer:</strong></span></p>
<ul>
<li><span>Competitive compensation package including equity and annual bonuses</span></li>
<li><span>Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)</span></li>
<li><span>MetLife Legal Services, Identity &amp; Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, &amp; Critical Illness Insurance</span></li>
<li><span>Flexible PTO, 10 paid holidays, and generous parental leave policies</span></li>
<li><span>Our office is centrally located in Mountain View, CA</span></li>
<li><span>Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging</span></li>
<li><span>Long Term Disability, Short Term Disability, Life Insurance</span></li>
<li><span>Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) </span></li>
<li><span>Fidelity 401(k)</span></li>
<li><span>Commuter, FSA, Dependent Care FSA, HSA</span></li>
<li><span>Various incentive programs (referral bonuses, patent bonuses, etc.)</span></li>
</ul><div><div><div><p>The pay range listed below reflects the base salary <strong>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>California Pay Range</div><div><span>$190,000</span><span>—</span><span>$260,000 USD</span></div></div></div><div><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>
<div> </div>
<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>
<div> </div>
<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" rel="noopener noreferrer ugc">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">careers@kodiak.ai</a></em><em> with "Separate Review Request" in the email subject line.</em></div>
<p> </p></div>

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