Integrate camera sensors using MIPI CSI-2 interfaces and support end-to-end camera bring-up, validation, and performance optimization.
Enable image sensor integration by evaluating and supporting calibration, characterization, and image quality tuning tools.
Lead imaging subsystem software activities during pre-silicon FPGA verification and post-silicon bring-up, validation, debugging, and performance tuning.
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Integrate camera sensors using MIPI CSI-2 interfaces and support end-to-end camera bring-up, validation, and performance optimization.
Enable image sensor integration by evaluating and supporting calibration, characterization, and image quality tuning tools.
Lead imaging subsystem software activities during pre-silicon FPGA verification and post-silicon bring-up, validation, debugging, and performance tuning.
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Integrate camera sensors using MIPI CSI-2 interfaces and support end-to-end camera bring-up, validation, and performance optimization.
Enable image sensor integration by evaluating and supporting calibration, characterization, and image quality tuning tools.
Lead imaging subsystem software activities during pre-silicon FPGA verification and post-silicon bring-up, validation, debugging, and performance tuning.
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You will use product domain knowledge and sound engineering practices, to perform embedded firmware test activities for Rockwell Automation products.
You are going to lead test strategy, test planning, and test execution activities in multiple projects. You will report to Manager, Embedded Software and based in Singapore working in Hybrid.
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We are looking for a hands-on Embodied AI Engineer with experience in robot learning to develop, fine-tune, deploy, and validate intelligent behaviors on physical humanoid robots.
This is a start up-style role with broad ownership across AI development, data collection, robot integration, testing, failure analysis, and continuous performance improvement. The ideal candidate is comfortable working across disciplines and taking ideas from early experimentation through to real-robot deployment.
This is a start up-style role with broad ownership across AI development, data collection, robot integration, testing, failure analysis, and continuous performance improvement. The ideal candidate is comfortable working across disciplines and taking ideas from early experimentation through to real-robot deployment.
Key Responsibilities
- Develop, integrate, and fine-tune robot foundation models for perception, mapping, task planning, and embodied decision-making.
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Manage and control system configurations to ensure consistency between approved configurations, deployed systems, and licensing, regulatory, and internal compliance requirements
Implement approved system configurations and changes with computer integrators, qualify alternate components including power supplies and peripherals, and coordinate vendor documentation, compatibility, availability, and licensing requirements
Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related technical field with a minimum of 7 years of industry experience supporting computer or system-level engineering environments, or Master’s degree in the same fields with a minimum of 5 years of related industry experience
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