Digital lidar, AI compute and perception software for physical AI
Ouster builds digital lidar sensors paired with AI compute and perception software for robotics, industrial, automotive and infrastructure use. The stack runs deep into FPGA and silicon tooling (Vivado, Quartus, Zynq, SystemVerilog, UVM) alongside ISO 26262 and Jama Connect, pointing to safety-certified automotive-grade hardware. Senior-heavy engineering hiring centers on RTL verification, ATE test development and AI compute box reliability.
Ouster is a publicly traded sensing and perception company founded in 2015 and headquartered in San Francisco, California. It develops digital lidar, cameras, AI compute hardware, sensor fusion and perception software for customers in industrial, robotics, automotive and smart infrastructure markets. The company employs 201–500 people and operates offices across the Americas, Europe and Asia-Pacific. Current hiring spans the United States, Canada, Thailand and Singapore, covering engineering, finance, sales, support, data and marketing functions.
Ouster uses FPGA and hardware tools like Vivado, Quartus, Xilinx Zynq, SystemVerilog and UVM, plus C++, Python, Rust, Go, PyTorch, YOLO, PostgreSQL, gRPC, GitLab CI/CD, Jenkins, AWS and NetSuite.
Ouster is hiring in the United States, Canada, Thailand and Singapore, with engineering as the dominant function and senior-level roles most common.
Ouster's projects include next-generation lidar systems, RTL development and verification, automated test equipment, reliability testing for AI compute boxes and functionally safe sensing products.
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Ouster's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.