Principal Software Engineer, Perception
Key details
- Salary
- $300K–$380K/yr
- Location
- Alameda, CA, United States
- Work style
- Onsite
- Level
- Lead / Staff+
- Job type
- Full-time
- Experience
- 8–11 yrs
- Function
- Software engineering
- Focus area
- AI / ML
- Visa sponsorship
- US persons only (export control)
- Posted
- 3h ago
Skills
About the role
About the Role
As a principal-level engineer on the perception team at a maritime autonomy company, you will set the technical direction for systems that help autonomous vehicles understand complex ocean environments. You will combine hands-on engineering with architecture leadership, partnering closely with autonomy, navigation, and applied machine learning teams.
What You'll Do
Define the architecture for perception capabilities including sensor fusion, localization, tracking, mapping, and uncertainty estimation.
Integrate radar, cameras, and other sensor modalities into reliable information streams for downstream autonomy systems.
Work with autonomy, navigation, and applied machine learning teams to support safe vehicle behavior in challenging ocean conditions.
Turn research algorithms into robust production systems that meet edge-compute, latency, sensor, and environmental constraints.
Guide senior engineers through architecture decisions, technical reviews, and hands-on problem solving.
Shape data-labeling strategies, ground-truth datasets, and evaluation frameworks, and contribute to hiring and mentorship as the team grows.
What We're Looking For
At least 8 years of experience in perception or robotics engineering, with staff-level technical leadership and architecture ownership.
Direct experience building and deploying production perception systems on autonomous vehicles or robots.
Deep expertise in sensor fusion, localization, state estimation, tracking, mapping, probabilistic estimation, and uncertainty modeling.
Strong foundations in computer vision, machine learning, and applied mathematics, including linear algebra.
Experience with onboard software and running inference on constrained compute with latency requirements; familiarity with C++, Python, Nvidia Jetson, and edge computing is valuable.
Background with radar, cameras, or other sensor modalities; maritime autonomy experience is a plus.
Experience with real-time operating systems, minimal Linux distributions, battery or power constraints, or active vehicle fleets is beneficial.
Must be a US Person, meaning a US citizen or Green Card holder. Visa sponsorship or transfer is not available.
Compensation & Benefits
Base salary range: $300,000 to $380,000 annually. Visa sponsorship is not available.
Location
Hybrid role based in Alameda, United States.
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