Senior Robotics Software Engineer, Perception

Locus Robotics is a global leader in warehouse automation, delivering unmatched flexibility and unlimited throughput, and actionable intelligence to optimize operations. Powered by LocusONE, an AI-driven platform, our advanced autonomous mobile robots seamlessly integrate into existing warehouse environments to enhance efficiency, reduce costs, and scale operations with ease. Trusted by over 150 industry leading retail, healthcare, 3PL, and industrial brands in over 350 sites worldwide, Locus enables warehouse operators to achieve rapid ROI, minimize labor costs, and continuously improve productivity. Our industry-first Robots-as-a-Service (RaaS) model ensures ongoing innovation, scalability, and cost-effectiveness without the burden of significant capital investments. With proven capabilities in diverse workflows—from picking and replenishment to sorting and pack-out—Locus Robotics empowers businesses to meet peak demands and adapt to ever-changing operational needs. We are seeking a highly motivated and experienced Robotics Software Engineer, Perception to join our Robotics Software Team. This role is ideal for someone with a strong background in the robotics industry and a passion for building robust perception systems for autonomous robots. In this role, you will be part of a multidisciplinary team responsible for developing the software that powers our Autonomous Mobile Robot (AMR) fleet. As a key member of the Perception team, you will contribute to the perception stack that enables our robots to understand and navigate their environment safely and efficiently. Your work will directly support the robots’ ability to localize themselves, detect and avoid obstacles, identify objects of interest, and operate reliably on a busy warehouse floor. This includes developing sensor drivers, authoring filters, and implementing efficient algorithms that enable sophisticated robot behavior. Responsibilities Advance our robots’ ability to perceive their environment for safe and effective operation. Work independently while also collaborating closely with cross-functional team members. Design and write computationally efficient software using state-of-the-art perception algorithms. Ensure software quality through robust testing and automated CI/CD regression and quality checks. Apply clean-code best practices to ensure maintainability and readability. Deliver features on time and in alignment with release cycles. Identify and implement improvements to the existing perception stack. Develop, enhance, and maintain sensor drivers and filtering pipelines. Perform hands-on work with industrial-grade robotic hardware. Mentor junior engineers and contribute to the technical growth of the team. Qualifications Bachelor’s degree, or Master’s degree in Engineering, Computer Science, or a related field. 5+ years of professional experience working with Autonomous Mobile Robots. Advanced proficiency in C++ and Python, with a strong understanding of software architecture, design patterns, and performance optimization. Professional experience with ROS (ROS 1 and/or ROS 2). Familiarity with Gazebo and/or other robot simulation tools. Experience working with common robotic sensors, such as LiDAR, depth sensors, IMUs, stereo cameras, and ToF sensors. Hands-on, real-world experience testing, debugging, and deploying robots in commercial environments. Solid understanding of machine learning and computer/robot vision fundamentals. Proficiency with PCL and OpenCV, and familiarity with other perception-related libraries. Experience contributing to large-scale, distributed software projects; strong knowledge of Git is required. Excellent written and verbal communication skills, with the ability to collaborate effectively across teams and stakeholders. Additional Information Locus Robotics is an Equal Opportunity Employer. The expected base salary range for this role is $125,000 to $175,000 annually, based on external market data, plus bonus and equity. Actual offers will depend on factors such as the candidate’s experience, education, training, key or critical skills, geographic location, and current market and business conditions