Senior Applied AI Engineer - Multimodal Transformers

Reposted Yesterday
7 Locations
In-Office or Remote
200K-260K Annually
Mid level
Automotive • Robotics • Software • Transportation
The Role
Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.
Summary Generated by Built In

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.

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.
In this role, you will:
  • Design and develop multimodal transformer architectures that fuse camera, LiDAR, and radar into unified representations
  • Research and implement cross-modal attention mechanisms, token fusion strategies, and efficient multi-stream tokenization
  • Build scalable training pipelines for large-scale multimodal transformers across massive real-world datasets
  • Explore self-supervised and contrastive pretraining objectives that learn transferable multimodal representations
  • Optimize transformer models for real-time inference under latency and compute constraints
What you’ll bring:
  • BS, MS, or PhD in AI, Computer Science, or a related field
  • 4+ years experience with transformer architectures, particularly in multimodal or multi-stream settings
  • Familiarity with cross-attention, token fusion, or modality alignment techniques
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
  • Strong understanding of scalable training for large models, including distributed training and mixed-precision optimization
  • Passion for building AI that reasons over the full breadth of sensory input to operate safely in the real world

What we offer:

  • Competitive compensation package including equity and annual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)
  • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
  • Flexible PTO, 10 paid holidays, and generous parental leave policies
  • Our office is centrally located in Mountain View, CA
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance
  • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
  • Fidelity 401(k)
  • Commuter, FSA, Dependent Care FSA, HSA
  • Various incentive programs (referral bonuses, patent bonuses, etc.)

The pay range listed below reflects the base salary in our SF/Silicon Valley location, 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

California Pay Range
$200,000$260,000 USD
 
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.
 
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.
 
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](https://endorsed.com/local-law-144). 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 [email protected] with "Separate Review Request" in the email subject line.

Skills Required

  • BS, MS, or PhD in AI, Computer Science, or related field, or at least 2-3 years of industry experience
  • Experience with transformer architectures, particularly in multimodal or multi-stream settings
  • Familiarity with cross-attention, token fusion, or modality alignment techniques
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
  • Strong understanding of scalable training for large models, including distributed training and mixed-precision optimization
  • Experience with self-supervised or contrastive pretraining objectives (multimodal preferred)
  • Experience optimizing transformer models for real-time inference under latency and compute constraints

Kodiak Robotics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kodiak Robotics and has not been reviewed or approved by Kodiak Robotics.

  • Fair & Transparent Compensation Pay is considered market-competitive for core engineering roles, with role postings indicating strong senior bands and offers aligned to autonomy peers. Salary ranges visible on listings reinforce competitiveness for experienced technical hires.
  • Equity Value & Accessibility Equity grants are commonly included with standard multi‑year vesting, and listings frequently note salary plus bonus and equity as part of offers. This makes ownership a regular component of total rewards for technical hires.
  • Healthcare Strength Health coverage includes medical, dental, and vision alongside life and short‑/long‑term disability, with FSA/HSA options available. Wellness partners such as mental‑health and primary‑care services are highlighted alongside core plans.

Kodiak Robotics Insights

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The Company
HQ: Mountain View, CA
81 Employees
Year Founded: 2018

What We Do

Kodiak Robotics is an autonomous technology company redefining the long-haul trucking industry. We believe self-driving trucks will be the first economically viable application of autonomous vehicle technology. We founded Kodiak in the spring of 2018 to make that belief a reality. Safety is our top priority. We are taking a safe and responsible approach to developing and testing our technology. We are proud to work with some of the best in the business. We’ve built a world class team of technologists from leading autonomous driving programs who know the industry inside and out. Our combined experience and commitment to the vision will allow us to put self-driving technology on the road in the safest and most effective way.

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