Lead the implementation and integration of Beckhoff-based control systems across automation cells, ensuring seamless communication with ROS 2-based robotics stack.
We’re seeking an experienced Automation & PLC Engineer to lead the implementation, standardization, and integration of Beckhoff-based control systems across our automation cells. This role also bridges our PLC logic with our ROS 2-based robotics stack, ensuring seamless system behavior, communication, and remote support.
You’ll own the PLC-side architecture, from I/O control to motion coordination and system diagnostics. You'll also work closely with our perception, motion planning, and integration teams to create reliable handshakes between ROS 2 and machine-level automation.
Key Responsibilities
- Architect, develop, and maintain Beckhoff TwinCAT 3 codebases across all automation cells.
- Design modular, scalable automation logic using structured text, object-oriented function blocks, and safe state machines.
- Integrate PLCs with our ROS 2 stack (e.g., via OPC UA, Modbus TCP, or custom middleware), enabling real-time coordination with robotic subsystems.
- Develop and deploy intuitive HMI interfaces for operators, maintenance, and debug.
- Configure and manage EtherCAT I/O networks, motion components, and field devices.
- Enable remote diagnostics, secure access, and data logging from deployed systems.
- Collaborate closely with mechanical, vision, and software teams to ensure integrated cell behavior.
- Support field deployments, issue diagnosis, and system reliability testing.
Qualifications
- 3–5 years experience in industrial automation, including Beckhoff TwinCAT 3 and structured text (ST).
- Experience building and deploying modular, production-grade PLC code for real-world machinery.
- Familiarity with ROS 2 concepts and message-passing architectures, or previous experience bridging ROS to PLCs.
- Strong understanding of industrial fieldbuses (EtherCAT, OPC UA, Modbus, etc.).
- Competent in HMI design, I/O mapping, and safe system startup/teardown logic.
- Ability to design for remote access, including secure gateways, remote logging, and system updates.
Nice to Have
- Experience with ROS 2 client libraries (C++ or Python) and integration patterns.
- Knowledge of textile automation, robotics, or machine vision systems.
- Familiarity with InfluxDB, SQL, or cloud telemetry pipelines for industrial data.
- Experience deploying systems into production environments and supporting field debugging.
Top Skills
Beckhoff Twincat 3
Ethercat
Hmi
Modbus Tcp
Opc Ua
Ros 2
Structured Text
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead and mentor a data science team delivering AI-driven insights and predictive analytics for enterprise-level business applications, ensuring strategies align with operational excellence.
Top Skills:
AWSAzureGCPPythonRSnowflakeSQLTableau
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves engaging with management-level individuals to enhance security programs and assess cybersecurity maturity, while producing high-quality reports.
Top Skills:
Cybersecurity
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Principal AI Data Engineer is responsible for designing and operating AI-driven data platforms, focusing on Snowflake and LLM integrations, while leading technical initiatives and mentoring teams.
Top Skills:
AWSDbtGeminiGitlabGleanSalesforce AiSnowflakeTerraform
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
