Path Robotics is addressing a trillion-dollar opportunity by tackling complex, unprecedented challenges in an industry suffering from a shortage of skilled labor. The company aims to develop AI-driven robotic applications by building advanced sensing systems.
Requirements
- Proven track record in designing and architecting embedded and sensor-based software solutions.
- Proficient in C++, Python, and ROS; experience with relational databases and distributed systems.
- Strong background in software lifecycle practices: Git, CI/CD pipelines, containerization (Docker, Kubernetes), and cloud deployment (AWS preferred).
- Experience leading technical design discussions, balancing tradeoffs between performance, scalability, and maintainability.
- Experience with NVIDIA’s software suite (Omniverse, Isaac, JetPack, TensorRT, CUDA) for real-time, edge-based robotic applications.
- Experience with robotic 3D sensing applications, including calibration pipelines and stereo vision.
- Experience with classical computer vision and deep learning methods to sensing challenges.
Responsibilities
- Lead the architecture and design of software for hardware abstraction layers for cameras, lasers, and 3D scanners.
- Define system interfaces, data flows, and integration patterns across hardware abstraction, sensing algorithms, and robotic control.
- Establish technical standards and best practices for robust, scalable sensor software.
- Design and implement software for robotic 3D sensing applications, including calibration pipelines and stereo vision.
- Build and support services that rely on robotic vision sensors (e.g., prescanning, TCP calibration).
- Apply classical computer vision and deep learning methods to sensing challenges.
- Leverage NVIDIA’s software suite (Omniverse, Isaac, JetPack, TensorRT, CUDA) for real-time, edge-based robotic applications.
Other
- 5+ years of software engineering experience, with significant contributions to production-grade systems.
- Collaborate with robotics, AI, and hardware teams to align architecture with product goals.
- Conduct high-quality code and design reviews, setting a standard for engineering excellence.
- Mentor and guide junior engineers, fostering growth and continuous improvement.
- Anticipate and troubleshoot complex system-level issues with a focus on long-term solutions.
