Kodiak Robotics

Technical Lead, Multimodal Transformers - Shubham Shrivastava

Kodiak Robotics$230K — $300K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD with 5+ years of industry experience, or MS/BS with 8+ years in AI, Computer Science, or related field
  • Experience leading multi-engineer technical efforts from research through production
  • Deep expertise in transformer architectures, particularly in multimodal or multi-stream contexts
  • Strong understanding of cross-attention, token fusion, and modality alignment techniques
  • Proficient in Python and PyTorch, with experience in large-scale distributed training and mixed-precision optimization
  • Experience mentoring engineers and nurturing technical talent
  • Ability to influence technical direction without formal authority

Responsibilities

  • Own the architecture roadmap for multimodal transformers fusing diverse sensor inputs
  • Lead the project from problem framing through to production deployment
  • Drive research direction on cross-modal attention and token fusion strategies
  • Set technical standards through design reviews and architectural decisions
  • Mentor junior and mid-level engineers to elevate research execution
  • Define pretraining strategies for transferable multimodal representations
  • Collaborate with perception and planning leads to align model design with system needs

Benefits

  • Competitive compensation package including equity and annual bonuses
  • Excellent medical, dental, and vision plans with additional infertility benefits
  • Flexible PTO, 10 paid holidays, and generous parental leave policies
  • Centrally located office in Mountain View, CA with employee perks
  • Comprehensive wellbeing benefits including mental health resources
  • Fidelity 401(k) plan and various financial incentives
  • Diverse range of insurance options including disability and life insurance
Full Job Description
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. 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. In this role, you will: - Own the architecture roadmap for multimodal transformers that fuse camera, LiDAR, and radar into unified representations - Lead the project end to end: problem framing, experiment design, implementation, and production deployment - Drive research direction on cross-modal attention, token fusion strategies, and efficient multi-stream tokenization, and make the calls on what gets built - Set the technical bar through design reviews, code reviews, and architectural decisions on scalable training pipelines - Mentor junior and mid-level engineers, and raise the level of research execution across the org - Define the pretraining strategy, including self-supervised and contrastive objectives that learn transferable multimodal representations - Partner with perception, planning, and infrastructure leads to align model design with system-level latency and compute budgets What you'll bring: - PhD with 5+ years of industry experience, or MS/BS with 8+ years, in AI, Computer Science, or a related field - Track record of leading multi-engineer technical efforts from research through production - Deep expertise in transformer architectures, particularly in multimodal or multi-stream settings - Strong command of cross-attention, token fusion, and modality alignment techniques - Experience mentoring engineers and growing technical talent - Expert proficiency in Python and PyTorch, including large-scale distributed training and mixed-precision optimization - Ability to influence technical direction across teams without formal authority - 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 $230,000-$300,000 USD

About Kodiak Robotics

Kodiak Robotics is a startup that is developing autonomous trucks for long-haul freight transportation. The company was founded in 2018 by Don Burnette and Paz Eshel, both former employees of the self-driving truck company Otto. Kodiak's trucks use a combination of sensors, cameras, and software to navigate highways and other roads without a human driver. The company has raised $40 million in funding from investors including Battery Ventures and CRV. Kodiak is headquartered in Mountain View, California, and has a testing facility in North Texas.
Learn more about Kodiak Robotics
Size
101 employees
Market Cap
$347.1 million
Industry
Net Income
-$133.1 million
Founded
2016
NASDAQ

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