Senior Engineering Manager, Perception

The Position

Saildrone is seeking a Senior Engineering Manager, Perception to join our Robotics Software Org.

Reporting directly to the Director, Robotics Software, you will play a critical role in architecting, implementing, and productionizing our next-gen perception software to our drone fleet.

We are looking for a technical leader who creates clarity from ambiguity and has a proven track record of independently driving execution in a fast-paced environment.

In this role, you will balance strategic people management with deep technical ownership, staying hands-on with architecture and code while steering a world-class team of autonomy engineers.

THE TEAM

The Perception Engineering Team is responsible for designing and deploying advanced sensing and perception capabilities that power Saildrone's autonomous operations.

We are focused on delivering robust and scalable solutions for global maritime domain awareness to safeguard our uncrewed surface vehicles (USVs) and provide mission-critical data in a national security and defense environment.

Our team processes petabytes of unique, multi-modal ocean data collected across millions of nautical miles, solving the complex visual challenges of tracking targets amidst massive wave clutter, severe vehicle motion, and changing atmospheric conditions.

The Responsibilities

• Lead and scale an elite engineering team, providing high-impact technical mentorship and career development while remaining directly hands-on with core architecture, code reviews, and critical implementations.
• Be accountable for the delivery, reliability, and edge performance of real-time perception software running on uncrewed platforms during months-long ocean deployments.
• Partner with the Autonomy, Machine Learning, Systems, and Hardware teams to align on product roadmaps, manage cross-functional dependencies, and ensure seamless sensor-to-actuation integration.
• Drive day-to-day execution using C++, our state-of-the-art robotics perception and ML software, and agile methodologies to maintain high-velocity development cycles and rigorous production-grade standards.
• Proactively identify system bottlenecks, algorithmic risks, and team blockers, implementing strategic mitigations to optimize high-performance compute on embedded platforms (e.g., NVIDIA Jetson).
• Establish robust validation, hardware-in-the-loop (HIL) testing, and simulation frameworks leveraging large-scale maritime datasets to guarantee deterministic safety and performance.

The Qualifications

• Experience: 8+ years of progressive software experience in robotics, drones, or autonomous driving, with at least 2+ years of direct engineering management or technical leadership experience.
• Educational Background: Bachelor’s or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related technical discipline.
• Hands-on Expertise: Exceptional proficiency in modern C++ (14/17/20) and production-grade software development for Linux embedded environments.
• Domain Knowledge: Deep understanding of perception fundamentals, including multi-object tracking, 3D computer vision, multi-sensor calibration, or deep learning deployment at the edge.
• Sensors & Fusion: Proven experience working with complex maritime sensor stacks, integrating and fusing raw data from long-range cameras, marine Radar, LiDAR, and AIS electronics.
• Dataset Management: Experience building ingestion pipelines, auto-labeling frameworks, or regression workflows optimized for petabyte-scale, edge-case-heavy dataset exploration.
• Leadership Style: Ability to dive into technical codebases to unblock developers while maintaining a highly collaborative, inclusive, and mission-driven engineering culture.

Physical Requirements

• Office & Tech Work: Work is primarily performed on a computer and requires the ability to operate a keyboard and peripheral devices.
• Onsite Collaboration: Ability to maintain a hybrid schedule, including traveling to and working out of our Alameda waterfront headquarters 3 days per week.
• Hardware-in-the-Loop Interaction: Occasional need to collaborate closely with the hardware team in laboratory or dock environments, including standing, bending, and light handling of test payloads or sensors up to 30 lbs.