Role Description Eaton’s Power Components Division (PCD) is currently seeking a Connected Integration Engineer to join the team. This role requires up to 20% travel and can be remote within the United States or hybrid based at our facility in Moon Township, PA. The Connected Integration Engineer provides pre and post sales technical support for power and energy meters, protective relays, power distribution monitoring and control software, and related communication products. The role serves as a technical resource for customers and Electrical Group personnel by: - Resolving moderately to highly complex technical issues. - Supporting installation, configuration, and data acquisition needs. - Delivering effective technical explanations, demonstrations, and training. Partnering with customers, field engineers, and internal engineering and marketing teams, this role will drive: - Technical validation. - Product adoption. - Incremental revenue growth across targeted markets. The Connected Integration Engineer will provide technical consultation and subject matter expertise, delivering on-site customer and end user presentations to secure approval of Eaton solutions, and feeding technical insights back to internal teams to support product enhancement and expanded account penetration. Qualifications - Bachelor’s degree in Electrical, Software or Computer Engineering or related discipline OR Associate’s degree in EET, Electrical or Software Engineering or related discipline with minimum 2 years of relevant experience. - Eaton will not consider applicants for employment immigration sponsorship or support for this position. Requirements - Strong foundation in electrical power distribution and power quality. - Working knowledge of operating systems, databases, industrial communication protocols (e.g., Modbus, BACnet), and basic networking principles. - Strong analytical and troubleshooting skills. - Effective diagnosis and resolution of issues across integrated hardware and software systems. - Excellent customer service and collaboration skills. - Ability to communicate complex technical concepts clearly to diverse audiences. - Maintain accurate documentation while managing priorities effectively. Benefits - Various Health and Welfare benefits. - Retirement benefits. - Programs providing for paid and unpaid time away from work.

• Grow and nurture the open-source data/infra community: launch initiatives, collaborate with data-focused groups, and organize events or challenges • Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration, curating and showcasing datasets, benchmarks, and tools like Xet • Highlight use cases like efficient large-dataset updates, Parquet editing, and deduplication to demonstrate the Hub's value for data workflows • Create demos, benchmarks, and tools (for example Colab notebooks) that illustrate best practices for data storage and versioning, and experiment with Xet, Parquet, and other formats • Produce high-quality tutorials, blog posts, and videos that make complex topics accessible • Share insights on storage optimization, dataset versioning, and deduplication to empower developers • Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration • Make sure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases

• Responsible for building and maintaining the core components of Resend that handle sending transactional and marketing emails • Collaborate with the Core Sending Squad

Role Description We are seeking an experienced Industrial IoT (IIoT) Engineer to design and build connected, data-driven industrial systems spanning the factory floor to enterprise cloud platforms. In this role you will architect end-to-end IIoT solutions, including: - Edge data acquisition - Secure connectivity - Cloud ingestion - Real-time analytics - Operational dashboards The ideal candidate will combine strong software engineering skills with practical experience in industrial protocols, edge computing, and cloud IoT platforms. You will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions. You will also be expected to raise the bar through code review, design review, and mentorship of more junior engineers. Key Responsibilities - Architect end-to-end IIoT solutions spanning edge devices, gateways, connectivity, and cloud platforms. - Design data acquisition pipelines from PLCs, SCADA, and sensors using protocols such as OPC UA, Modbus, MQTT, and Sparkplug B. - Build edge computing applications using AWS IoT Greengrass, Azure IoT Edge, or similar platforms. - Implement secure connectivity using mTLS, certificate management, and zero-trust patterns. - Build cloud ingestion and processing pipelines using AWS IoT Core, Azure IoT Hub, Kafka, or similar. - Develop real-time analytics, anomaly detection, and predictive maintenance models that turn raw telemetry from industrial assets into actionable signals for operators and reliability engineers. - Build operational dashboards and alerts for plant managers and operators. - Integrate IIoT data streams with MES, ERP, CMMS, and historian systems, designing reliable bidirectional flows that maintain consistency between operational technology and enterprise systems of record. - Implement strong device management, including provisioning, OTA updates, and certificate rotation. - Collaborate closely with OT, process engineering, and reliability teams, gathering requirements, aligning on technical approach, and ensuring that delivered solutions meet both functional needs and broader engineering and operational standards. - Ensure compliance with relevant industrial cybersecurity standards (IEC 62443, NIST). - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures. - Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing. - Continuously evaluate emerging IIoT technologies and platforms, assessing maturity, fit for purpose, and total cost of ownership. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of IIoT or industrial software engineering experience. - Strong programming skills in Python, C++, or Go. - Hands-on experience with industrial protocols (OPC UA, Modbus, MQTT, Sparkplug B). - Experience with at least one major cloud IoT platform (AWS, Azure, GCP). - Hands-on experience with edge runtimes (Greengrass, IoT Edge). - Solid understanding of OT/IT integration patterns. - Experience with streaming and real-time analytics platforms. - Familiarity with industrial cybersecurity standards. - Excellent troubleshooting, communication, and documentation skills. Preferred Qualifications - Experience with digital-twin platforms. - Hands-on experience with predictive maintenance ML models. - Exposure to time-series databases (InfluxDB, TimescaleDB). - Familiarity with Unified Namespace (UNS) patterns. - Industrial certifications (ISA, IEC 62443). How to Apply For immediate consideration, please send your resume to [email protected] . Learn more about Bright Vision Technologies at www.bvteck.com .