Senior Robotics Software Engineer (R&D)

Location Arlington, VA (Hybrid) 3-4 days in-person About the role We are seeking a Senior Robotics Software Engineer to design, build, and scale production-grade software systems powering autonomous mobile robots (AMRs). This role emphasizes modern software engineering best practices, reliability, and cloud-native development. You’ll work across backend services, autonomy pipelines, and distributed systems integrating AI, perception, and real-time robotics. Key Responsibilities Develop scalable APIs and microservices using FastAPI and NodeJS. Build and maintain real-time messaging and event-driven systems using MQTT and Kafka. Develop and optimize data storage layers leveraging Postgres and Redis. Implement software interfaces and data pipelines for sensors including LiDAR, cameras, and IMUs. Collaborate with frontend teams working with React or Vue to build UI integrations and operator tools. Implement and maintain CI/CD workflows using Kubernetes, Docker, KVM, and GitHub Actions. Analyze system logs, telemetry, and field data to identify bugs, performance bottlenecks, and reliability issues. Participate in code reviews, architectural discussions, and software documentation. Benefits Performance-based incentive bonus plan. Comprehensive health, dental, and vision insurance coverage. 401(k) retirement plan with company matching contributions up to a specified percentage. Qualifications Required: Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field. Experience building backend systems using FastAPI and NodeJS. Experience with frontend frameworks such as React or Vue. Hands-on experience with Postgres, Redis, and distributed messaging systems (MQTT, Kafka). Strong understanding of algorithms, data structures, and real-time/async programming. Experience with ROS/ROS2 and real-time robotics software systems. Preferred: Experience deploying software using Kubernetes, Docker, and KVM. Familiarity with GitHub Actions for CI/CD automation. Experience integrating AI/ML models into production robotic workflows. Background in cloud robotics, distributed systems, or simulation environments (Gazebo, Isaac Sim). We offer an innovation-driven culture focused on modern software development practices, autonomy, and impactful engineering. #J-18808-Ljbffr