Lead packaging integration engineering for advanced semiconductor products, driving architecture decisions, customer engagement, and cross‑functional coordination.
Responsibilities
Drive packaging architecture decisions and IC‑PKG‑PCB co‑design for FPGA, embedded SoC, and custom ASIC programs spanning 2.5D/3D, OPC, and MOP technologies.
Lead DFM and DFMEA reviews and packaging supply qualification, partnering with OSAT/substrate suppliers on manufacturable, reliable, application‑ready solutions.
Serve as the primary customer‑facing contact for assigned programs – representing the packaging organization and translating customer requirements into internal technical direction.
Organize and lead cross‑functional task forces across silicon design, packaging, SI/PI, thermal‑mechanical, quality and reliability test, and supply chain to resolve issues, align decisions, and keep programs on schedule.
Proactively fill gaps between functional groups and track commitments to genuine closure.
Requirements
Bachelor's or Master's degree in Electrical, Materials, Mechanical, or Semiconductor Engineering
Design, deploy and maintain network infrastructure across vessels and industrial operations, ensuring reliability, performance and security of OT systems.
Responsibilities
Design, deploy and maintain network infrastructure across vessels and industrial operations, including routing, switching, VLANs and firewalls.
Troubleshoot connectivity issues and resolve networking challenges that impact operational systems and critical equipment.
Strengthen industrial cybersecurity by performing risk assessments, implementing hardening techniques, managing secure remote access and monitoring for vulnerabilities.
Support and optimize communication between OT/industrial systems (PLC, SCADA, DCS, Modbus, Ethernet/IP, OPC UA/DA).
Use scripting (Python, PowerShell, Bash…) to streamline network configurations, monitoring and maintenance tasks.
Requirements
Master’s degree in IT, ICT, Industrial Automation, Electronics, Electromechanics, or other relevant field.
Own the end-to-end IT architecture for UptimeAI deployments across customer environments, ensuring secure, scalable, and reliable integration between industrial systems, cloud infrastructure, and enterprise IT.
Responsibilities
Design and document end-to-end solution architectures across customer environments
Define secure, scalable architectures integrating OT data, edge systems, cloud platforms, and enterprise IT
Lead technical discovery and assess customer infrastructure, security requirements, and integration needs
Own the IT architecture throughout customer onboarding, deployment, and rollout
Define connectivity, network, firewall, port, server, and data pipeline requirements
Contribute to reusable components that support multiple LMS product families
Develop and maintain FDI Packages, DTMs, UIPs, EDDL-based content, or comparable device integration components
Requirements
Bachelor's or master's degree in Computer Science, Software Engineering, Computer Engineering, Electronics Engineering, Electrical Engineering, or a related discipline
Assist in minimizing downtime and maximizing productivity by managing automation systems, training staff, and leading root cause analysis and safety initiatives.
Responsibilities
Assist in minimizing downtime/breakdowns and maximizing productivity
Monitor performance, managing routine maintenance processes, and training employees in routine management standards
Support, and monitor performs diagnoses and repair of plant control and automation systems including electronic motor drives and electronic test equipment
Ensure best practice in automation routines in accordance with planning
Report system feedback as schedule attainment and missing data
Requirements
Bachelor’s degree (or foreign equivalent) in Electrical Engineering, or a related field
Designing, developing, and implementing automated control systems to enhance the efficiency and reliability of Instruments Manufacturing operations in a regulated environment (ISO 13485 and FDA medical device setting).
Responsibilities
Design, develop, and implement control systems for automation in the manufacturing of medical devices.
Develop and program PLCs (Programmable Logic Controllers) and/or HMI (Human-Machine Interface) systems.
Collaborate with R&D, Quality Assurance, and Manufacturing teams to identify automation needs and develop solutions.
Troubleshoot and resolve control system issues to ensure optimal performance and reliability.
Ensure compliance with regulatory standards (e.g., FDA, ISO 13485) in the design and implementation of control systems.
Develop software and algorithms for custom semi-automated electro-mechanical systems that assure products’ performance, reliability and safety in manufacturing of surgical robotic systems, instruments, and accessories.
Responsibilities
Design, develop, and implement software solutions for equipment that builds and tests medical devices such as robotic systems, instruments and accessories
Build and maintain software infrastructures that enable value extraction from the data generated
Analyze and optimize manufacturing processes to improve efficiency, reduce costs, and enhance productivity
Understand products’ operations and controls, and develop the means to ensure their integrity in volume production
Document, direct and perform IQOQPQ and DQ validation activities on manufacturing equipment
Requirements
Bachelor’s or master’s in engineering (Software Engineering or Computer Science preferred)
Nice to have: Scalable production quality software
Nice to have: Software Development Life Cycle
Nice to have: data engineering
Nice to have: robotic or electro-mechanical systems
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