Senior Software Engineer, Sensors & Embodied Intelligence

Job summary

BUILD THE PATH FORWARD At Path Robotics, we're building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries.

Qualifications

• design, implementation, deployment, and ongoing optimization.
• 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.
• WHO YOU ARE
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.
• 5+ years of software engineering experience, with significant contributions to production-grade systems.
• 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.

Responsibilities

• In this role, you'll drive the technical direction of software development for sensor systems, real-time image processing, and embedded platforms that power AI-driven robotic applications.
• You'll collaborate closely with cross-functional teams to design, implement, and deploy advanced sensing algorithms and embedded features at scale
• WHAT YOU'LL DO
• 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.
• Ensure robustness, reliability, and advanced error detection within sensor systems.
• Lead development and deployment on edge platforms (e.g., NVIDIA Jetson) with a focus on real-time vision-based AI applications.
• Drive seamless integration of sensing systems into the larger robotic platform.
• HOW YOU DELIVER
• Own the full development lifecycle —

Skills

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