SEMICONDUCTOR EQUIPMENT DESIGN, ENGINEERING & ASSEMBLY

Achieve accurate, repeatable positioning and alignment in semiconductor equipment. Sioux develops and integrates precision motion systems and alignment cameras, addressing mechanical, thermal, and electrical interactions through model-based engineering.

• Precision positioning system development and integration.

• Actuator selection and integration for demanding positioning requirements.

• Multi-axis positioning systems, including six degrees of freedom.

• Alignment camera development and optical measurement integration.

• Position metrology, calibration, and system-level error analysis.

Understand how semiconductor equipment responds to movement and changing operating conditions. Sioux combines physical models with measured system behaviour to identify performance limits and support faster, more predictable machine operation.

• Dynamic modelling and system identification.

• Vibration analysis and dynamic behaviour prediction.

• Settling time analysis and reduction.

• Acoustic sensing and frequency analysis.

• Event-camera measurements for high-speed vibration detection.

Maintain consistent equipment performance as temperatures and operating conditions change. Sioux analyses thermal behaviour and develops solutions that limit its impact on positioning accuracy, stability, and reliability.

• Heat generation analysis and temperature prediction.

• Thermal deformation and stress reduction.

• Thermal design to maintain positioning and measurement stability.

• Thermal management for equipment reliability and longevity.

Maintain the controlled environment required by sensitive semiconductor processes. Sioux develops modules and systems with attention to vacuum integrity, material behaviour, and cleanliness.

• Vacuum sealing and leak detection.

• Material selection for low outgassing.

• Contamination control and clean system design.

• Integration of vacuum and cleanliness requirements into equipment design.

Combine positioning accuracy with the speed semiconductor equipment demands. Sioux develops motion control software and architectures for coordinated multi-axis movement and nanometer-class positioning, supporting new equipment development and legacy controller migrations.

• Motion controller migration and legacy motion software modernization.

• Motion architecture development and multi-axis coordination.

• Real-time setpoint streaming and trajectory smoothing.

• Position feedback, feedforward control, and learning-based error compensation.

• Motion profile optimization within system performance and power limits.

• Control software integration and validation against positioning and throughput requirements.

Keep semiconductor equipment precise, predictable, and reliable as requirements evolve. Sioux develops layered machine control architectures, from low-level firmware and device drivers to platform and host-level control software. We modernize existing software while supporting ongoing feature development.

• Embedded software, firmware, and device drivers.

• Real-time control loops and layered machine control architectures.

• Application, platform, and host-level control software.

• Model-driven development and model-based testing.

• Equipment data acquisition, analytics, and visualization.

• GenAI-assisted codebase analysis using knowledge graphs and contextual information.

• Agentic integration with engineering tools to support development and optimization.

Turn image data into accurate alignment, inspection, and measurement. Sioux develops vision and imaging software for semiconductor equipment, combining reconstruction and recognition algorithms with processing pipelines built for demanding accuracy and throughput requirements.

• Camera-based alignment and optical measurement algorithms.

• X-ray image reconstruction.

• Image processing, pattern recognition, and defect detection.

• FPGA- and DSP-based image processing pipelines.

• Integration of vision software with machine control and motion systems.

Improve inspection, equipment availability, and throughput with AI grounded in semiconductor system knowledge. Sioux combines physical models, measurement data, and machine learning to support engineering and operational decisions.

• AI-based defect detection and classification for semiconductor inspection.

• Faster simulation and design optimization using physics-informed machine learning and surrogate models.

• Measurement reconstruction from sparse data using Bayesian inference, with uncertainty quantification.

• Predictive maintenance and root cause analysis based on equipment sensor data.

• Recipe and machine-parameter optimization combining Bayesian methods with engineering expertise.

• Advanced scheduling to increase equipment utilization and prevent deadlocks.

Help operators control complex semiconductor equipment clearly and efficiently. Sioux develops HMIs across different software frameworks, translating machine functionality into practical workflows for operation, monitoring, and troubleshooting.

• HMI design and development aligned with SEMI E95 requirements.

• Operator workflows for machine setup, operation, and recovery.

• Equipment status, alarm handling, and diagnostic visualization.

• Integration with machine control software.

Integrate semiconductor equipment into customer factory systems. Sioux develops host communication and automation interfaces for 200 mm fab environments, aligning equipment behaviour and data exchange with customer integration requirements.

• SECS/GEM host communication.

• GEM300 factory automation interfaces.

• Equipment monitoring and production data exchange.

• Integration and interface testing with factory host systems.

Scale semiconductor modules and systems from working prototypes to reliable, repeatable production. Sioux combines precision engineering, industrialization, and assembly expertise to preserve positioning accuracy and dynamic performance as production volumes and system complexity increase.

• Design for manufacturability, testability, and serviceability.

• Early identification and mitigation of subsystem integration risks during production ramp-up.

• Production processes and verification methods that safeguard accuracy, repeatability, and dynamic performance.

• Yield and output stability throughout the transition towards high-volume manufacturing.