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Design and implement automated and manual test fixtures, perform component-level failure analysis and debugging using oscilloscopes, multimeters, and protocol analyzers, produce detailed FA reports, and analyze RMA trends to recommend design or firmware improvements to increase field reliability.

As a Senior Software Engineer, you will optimize cloud-based ML operations and maintain code quality while collaborating with various teams.

Develop, test, and deploy computer vision and machine learning algorithms from prototype to production. Build cloud pipelines and services for monitoring and post-processing, perform root-cause analysis on field failures, create internal tooling for algorithm development, and collaborate with device, cloud, and algorithm teams to improve system accuracy and reliability.

The MLOps Engineer will design and maintain ML infrastructure, enhance workflow efficiency, and collaborate with teams to improve AI model deployment and management.

Lead architecture, requirements, and system-level design for integrated hardware-software solutions. Drive end-to-end project execution, collaborate cross-functionally, support deployments, troubleshoot system issues, and document designs and lessons learned.

The Senior State Estimation Engineer will develop and implement real-time pose estimation algorithms, collaborate on multidisciplinary projects, and mentor junior engineers, focusing on large-scale mapping and sensor calibration.

Lead end-to-end mechanical design and product architecture for vehicle-mounted, rugged AI hardware. Own sheet metal and structural design, perform FEA/vibration/thermal analyses, drive prototype-to-production, partner with cross-functional teams and suppliers, and support domestic and international pilot installations.

Lead electrical design and delivery of automotive-grade Edge AI computers and cameras from concept to production. Manage and mentor EE team, drive cross-functional collaboration, prototype and validate hardware, develop test plans, ensure regulatory compliance, partner with vendors and contract manufacturers, and keep projects on time and budget. Requires onsite presence in San Francisco.

Lead end-to-end perception projects from design to production, define technical approaches, mentor engineers, set engineering quality standards, and collaborate with Platform and Product to scale models across cloud and edge using MLOps pipelines.