- Robot type
- Marine and Space
- Location
- AlamedaCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Sep 18, 2026
- Salary
- $300,000–$380,000 a year
Principal Software Engineer, Perception
Job description
This is a hands-on technical leadership role. You will own the hardest perception problems, make architectural decisions, and connect sensing, estimation, machine learning, and production software into a coherent system deployed on real vehicles.
Saildrone is a maritime defense company and the global leader in autonomous unmanned surface vehicles (USVs). With more ocean miles and real-world operational experience than any USV manufacturer or operator, Saildrone maintains active, combat-deployed systems supporting national security and force projection around the world, 24/7/365.
Saildrone’s manufacturing and R&D headquarters are located in Alameda, CA, with business development and sales…
Job responsibilities
- Define the architecture and technical direction for Saildrone's perception systems.
- Lead the hardest problems in sensor fusion, probabilistic estimation, localization, tracking, mapping, and uncertainty estimation.
- Determine how heterogeneous sensors and perception algorithms combine to produce reliable information for downstream autonomy.
- Translate research and algorithms into robust production capabilities within real-world constraints on sensors, compute, latency, and environmental conditions.
- Provide technical direction to senior and staff engineers through architecture, technical review, and problem solving.
Job requirements
- Exceptional depth in perception and robotics, with a track record of deploying perception systems on autonomous vehicles, robots, aerospace, defense, or similarly complex physical systems.
- Deep expertise in sensor fusion, probabilistic estimation, and uncertainty modeling.
- Strong mathematical and algorithmic foundations, with depth in multiple areas such as computer vision, localization, state estimation, tracking, mapping, or machine learning.
- A track record of taking sophisticated algorithms or research from experimentation into reliable production systems.
- Experience setting technical direction and architecture for complex autonomous systems.
- Exceptional technical judgment demonstrated through consequential technical decisions and problem solving.
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