Senior Robotics Software Engineer

Overview

Location: Greater Boston Area (Hybrid, 3+ days onsite)

Compensation & Benefits: Competitive salary, comprehensive health coverage, retirement plan, flexible time off

A rapidly scaling robotics company is seeking a Senior Software Engineer n to lead the development of autonomy capabilities for a new generation of mobile robotic systems. This role focuses on building robust, high-performance navigation, planning, and control software that operates reliably in complex, real-world environments.

You’ll work within a multidisciplinary robotics engineering group, collaborating closely with perception, hardware, systems, and operations teams. This position is ideal for an engineer who enjoys owning technically deep problems end-to-end—from algorithm design and simulation through deployment on physical robots operating at scale.

• Design, implement, and optimize navigation, motion planning, and control software for large, non-holonomic mobile robots
• Build scalable autonomy architectures capable of supporting multi-robot operation in dynamic environments
• Integrate navigation systems with perception, localization, hardware interfaces, and low-level control layers
• Lead system-level debugging and performance optimization to ensure safety, reliability, and real-time operation
• Provide technical mentorship to other engineers and contribute to best practices across the robotics stack
• Influence long-term technical direction for autonomy features, behaviors, and fleet-level coordination

• 5+ years of professional robotics software experience (or 3+ years with an advanced technical degree)
• Strong background in mobile robot navigation and motion planning
• Proficiency in Python; experience with C++ in performance-critical systems is highly valued
• Hands-on experience with planning algorithms such as A*, RRT, PRM, or related methods
• Experience with mathematical optimization (convex and/or nonlinear)
• Familiarity with trajectory optimization and/or model predictive control is a plus
• Practical experience implementing collision avoidance and recovery behaviors
• Working knowledge of classical control methods (e.g., PID, pursuit-based controllers, LQR)
• Experience deploying autonomy software on real robotic systems—not just simulation
• Systems-minded, detail-oriented engineer who can reason across hardware, software, and integration boundaries

• Exposure to learning-based planning or data-driven autonomy approaches
• Experience in logistics, industrial, or large-scale robotic environments
• Familiarity with robotic manipulation systems
• Background in scaling robotics platforms from prototype to production