Member of Technical Staff, Lidar Characterization & Calibration Engineer

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  "lists": [
    {
      "text": "Responsibilities:",
      "content": "<div>\n<ul style=\"list-style-type: disc;\">\n<li>Design and execute characterization experiments to evaluate lidar sensor performance, including range, accuracy, resolution, noise floor, linearity, and field of view</li>\n<li>Develop automated test systems and analysis pipelines for efficient system and component evaluation and calibration.</li>\n<li>Develop, implement, and validate calibration algorithms and procedures for intrinsic and extrinsic sensor parameters (e.g., beam pointing, intensity, temperature compensation)</li>\n<li>Build automated test setups and data acquisition pipelines using Python</li>\n<li>Analyze large datasets from sensor characterization campaigns; identify failure modes, performance trends, and areas for improvement</li>\n<li>Maintain detailed lab documentation including test plans, experimental procedures, calibration records, and characterization reports</li>\n<li>Collaborate with optical, electrical, firmware, and systems engineering teams to close the loop between characterization findings and hardware/firmware iterations</li>\n<li>Support bring-up and evaluation of new sensor hardware revisions in a lab environment</li>\n\n</ul></div>"
    },
    {
      "text": "Qualifications:",
      "content": "<div>\n<ul style=\"list-style-type: disc;\">\n<li>B.S., M.S., or PhD in Electrical Engineering, Optical Engineering, Physics, or a closely related field</li>\n<li>3–5 years of hands-on experience in sensor characterization, optical systems testing, or related hardware validation roles</li>\n<li>Proficiency in Python for test automation, data analysis, and visualization (NumPy, SciPy, Matplotlib or equivalent)</li>\n<li>Experience with optical measurement equipment (e.g., integrating spheres, optical power meters, beam profilers, oscilloscopes, time-of-flight measurement systems)</li>\n<li>Experience interacting with databases (SQL, Postgres) for managing and analyzing large datasets.</li>\n<li>Ability to design controlled experiments and draw statistically sound conclusions from data</li>\n<li>Strong written and verbal communication skills; ability to document work clearly and concisely</li>\n<li>Experience with lidar-specific calibration (intrinsic/extrinsic, intensity calibration, point cloud registration) preferred</li>\n<li>Background working in a hardware startup or similarly fast-paced, resource-constrained environment preferred</li>\n<li>Experience supporting transfer of calibration processes to manufacturing/NPI environments preferred</li>\n\n</ul></div>"
    }
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  "country": "US",
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