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The Junior Control Systems Engineer will develop control systems for medical devices and manufacturing automation, collaborating with engineers to optimize prototypes and implement control algorithms.

Monitor, triage, and respond to security alerts across SIEM, EDR, DLP, ZTNA, and email filtering; assist with security tool administration, vulnerability scanning and remediation, incident documentation, stakeholder communication, and compliance support (NIST, HIPAA). Collaborate with engineers and senior analysts to tune defenses and improve processes.

The PCB Layout Designer will translate electrical schematics into optimized PCB layouts, collaborating with engineers, ensuring design integrity, and managing the workflow for manufacturing.

As a Senior Software Quality Engineer, you will support the development of medical devices by leading test strategy, requirements capture, and configuration of software tools, ensuring compliance with regulatory standards.

As a Product Development Automation Engineer at DEKA, you will specify, design, validate, and support automated manufacturing equipment while ensuring effective communication with engineering, operations, and quality departments.

The Project Manager will oversee post market surveillance activities, ensuring compliance with regulations, managing risks, and facilitating cross-functional collaboration.

The Senior Supplier Quality Engineer leads supplier quality activities for NPI and sustaining operations, ensuring compliance, conducting audits, and monitoring supplier performance through quality metrics. This role collaborates with cross-functional teams, drives corrective actions, and supports continuous improvement initiatives.

The Supplier Quality Engineer oversees supplier quality activities for new product introductions and sustaining manufacturing in a regulated environment, ensuring compliance with quality standards and managing supplier performance.

Design, develop, and maintain real-time control systems and hardware interfaces for autonomous robots and medical devices. Implement control, perception, sensor fusion, and computer vision algorithms; write production C++ and Python code; develop ML deployment pipelines, PLC ladder logic, logging, and testing. Lead a small engineering team and perform FMEA.

Design and implement scalable backend services and distributed, event-driven data pipelines. Build, deploy, and monitor production ML models (feature engineering through deployment). Integrate ML models with rule-based decision engines and contribute to AI/LLM-driven orchestration. Collaborate across engineering, data, and product teams to deliver reliable, production-grade systems.