Technical Lead, Multimodal Transformers - Shubham Shrivastava
About The Position
Kodiak Robotics, Inc. is a leader in autonomous ground transportation, founded in 2018. The company has developed an AI-powered technology stack for commercial trucking and the public sector, delivering freight daily across the southern United States. Kodiak is leveraging its commercial self-driving software to develop, test, and deploy autonomous capabilities for the U.S. Department of Defense. The company's autonomy stack is built on AI that fuses diverse sensor streams into a unified, actionable understanding of the world. Kodiak is developing GigaFusionNet, a large-scale multimodal transformer that learns rich, joint representations across camera, LiDAR, and radar through attention-based fusion. This role is 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, responsible for setting technical direction for multimodal fusion at Kodiak, leading the workstream executing against it, and ensuring results are deployed on trucks.
Requirements
- 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
Responsibilities
- 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
Benefits
- 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
- 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.)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
