Senior Software Development Engineer, Perception

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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USA, NY, New York - 184,900.00 - 250,200.00 USD annually
We are seeking a Senior Software Development Engineer to build and scale the software systems that power perception and state estimation on our intelligent robots. In this role, you will design, implement, and maintain production-quality software that enables robots to understand their position and motion in real time, even in challenging and dynamic environments.

You will own the full software lifecycle—from architecture and design through implementation, testing, and deployment—ensuring that perception systems are reliable, performant, and maintainable at scale. You will build robust infrastructure for sensor data processing, algorithm integration, and embedded deployment pipelines, while collaborating closely with applied scientists and hardware engineers to bring cutting-edge research into production.

This is a deeply hands-on engineering role. You will write high-quality, well-tested code, design scalable systems, and drive operational excellence across the perception software stack. The ideal candidate has strong software engineering fundamentals, experience building real-time systems, and a passion for robotics.

Key job responsibilities
- Design and implement production software systems for real-time perception and state estimation on robotic platforms like Sprout
- Build scalable data pipelines for processing, calibrating, and managing multi-sensor data (cameras, IMUs, and other sensing modalities)
- Develop and maintain deployment infrastructure for embedded hardware (e.g., ARM, GPU-accelerated edge devices), including CI/CD pipelines, OTA updates, and monitoring
- Architect software interfaces between perception, controls, and navigation subsystems within the robot's autonomy stack
- Optimize system performance under strict latency, memory, and power constraints through profiling, benchmarking, and iterative improvement
- Build and maintain testing frameworks, simulation environments, and evaluation infrastructure for perception systems
- Drive operational excellence including alarming, metrics, runbooks, and on-call support for production robotics systems
- Collaborate with applied scientists to translate research prototypes into production-ready, maintainable code