Digital lidar and AI perception platform for autonomous systems and smart infrastructure
Ouster manufactures digital lidar sensors and perception software for robotics, autonomous vehicles, and infrastructure monitoring. The tech stack reveals a hardware-first engineering culture—CAD (SolidWorks, ANSYS), simulation (Zemax, MATLAB), and embedded systems (C++, Nvidia Jetson, Raspberry Pi)—paired with modern DevOps (GitLab CI/CD, Docker, GCP). Active hiring is skewed heavily toward engineering (21 roles), with a secondary push in finance and ops, suggesting simultaneous growth in manufacturing scale and internal compliance rigor (SOX testing, internal audit setup are active projects).
Ouster designs and manufactures high-performance digital lidar sensors and AI perception software for industrial, robotics, automotive, and smart infrastructure applications. The company operates as a public manufacturer (Nasdaq: OUST) headquartered in San Francisco with global offices across the Americas, Europe, and Asia-Pacific. Core product surface spans sensor hardware (next-generation lidar, optical design for shock/vibration tolerance), embedded AI compute (Nvidia Jetson integration), and perception models (unified object detection and tracking). Current operational focus includes manufacturing quality (yield, test time reduction), supply chain resilience, and supplier quality management alongside software tooling (Ouster Studio) and process automation.
Core stack: C++, Python, MATLAB for signal processing and algorithms; CAD/simulation via SolidWorks, ANSYS Mechanical, Zemax; embedded systems (Nvidia Jetson, Raspberry Pi); DevOps via GitLab, Docker, GCP; hardware validation via ISO 26262 and Jama Connect for requirements traceability.
Active projects include next-generation lidar sensor design, unified object detection/tracking models, optical design for thermal/shock resistance, Ouster Studio (perception software), workflow automation, and data strategy for low-data ML regimes. Manufacturing focus includes SOX compliance, PPAP (Production Part Approval Process) for new products, and yield/test-time optimization.
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