Senior Automation Engineer, Factory Software at Mach Industries

Job description

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Senior Automation Engineer, Factory Software to develop the software and data systems connecting manufacturing equipment to factory operations. You will develop integrations between equipment, MES, SCADA, historians, data infrastructure, and engineering applications while helping establish Mach's standards for factory software, Industrial Internet of Things (IIoT), and manufacturing data. This is a hands-on engineering role. You will build applications, APIs, data pipelines, dashboards, and equipment integrations; deploy software to factory edge hardware; and develop tools that make manufacturing data accessible to engineers and operators. You will work closely with Controls, Robotics, Vision, Manufacturing Engineering, IT, Operations, and external software partners to build a scalable factory software ecosystem. Key Responsibilities Develop and deploy factory software connecting manufacturing equipment, edge devices, MES, SCADA, historians, and manufacturing data infrastructure. Evaluate commercial factory software platforms and lead technical proof-of-concept implementations. Develop integrations between engineering and manufacturing systems including PLM, MES, QMS, factory equipment, and data platforms. Build and maintain APIs and data pipelines using technologies such as REST, OPC UA, MQTT, and DDS. Develop standardized equipment data models, machine states, events, alarms, production records, and naming conventions. Define requirements for collecting machine, process, quality, and vision data into Mach's manufacturing data infrastructure. Develop Mach's IIoT connectivity patterns for machines, sensors, edge devices, and factory applications. Develop interfaces between Beckhoff TwinCAT equipment controls and higher-level factory software. Build GUI applications, web applications, and industrial HMI tools that provide engineers and operators access to manufacturing data and system integrations. Develop OEE dashboards and analytics for availability, performance, downtime, cycle time, throughput, yield, and equipment utilization. Build software and data tools that enable engineering teams to analyze and improve manufacturing processes. Establish CI/CD, automated testing, version control, containerization, and repeatable deployment workflows for factory software. Deploy and support applications running on industrial PCs, edge compute hardware, and centralized infrastructure. Develop reusable software libraries, services, APIs, and integration patterns for deployment across production equipment. Support data interfaces used by machine vision, robotics, analytics, and machine-learning applications. Prototype new applications using manufacturing data, including AI-assisted engineering tools and conversational interfaces where applicable. Support FAT, SAT, commissioning, and production launch by validating connectivity, data integrity, traceability, dashboards, and software integrations. Develop technical standards and specifications that equipment OEMs and systems integrators can implement. Partner with IT/OT teams to define requirements for networking, compute, cybersecurity, and factory infrastructure. Required Qualifications Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mechatronics, Manufacturing Engineering, or a related discipline. 5+ years of experience developing industrial software, manufacturing software, automation software, connected equipment, or industrial data systems. Strong software development experience with Python, C++, C#, JavaScript/TypeScript, or similar languages. Experience developing and deploying production software applications. Experience integrating manufacturing equipment, industrial controllers, or edge devices with higher-level software systems. Experience with industrial and software communication technologies such as OPC UA, MQTT, REST APIs, or similar protocols. Experience designing APIs, data models, and data pipelines for industrial or manufacturing applications. Experience developing GUIs, web applications, or HMI applications used by engineers, operators, or production teams. Experience with Git-based version control, CI/CD, automated testing, containerization, and software deployment workflows. Experience deploying and troubleshooting software on edge compute devices, industrial PCs, servers, or similar hardware. Working knowledge of manufacturing systems and metrics including MES, SCADA, OEE, cycle time, throughput, downtime, yield, and equipment utilization. Ability to troubleshoot software, networking, controls interfaces, and data pipelines directly on production equipment. Preferred Qualifications Experience evaluating or deploying commercial MES, SCADA, historian, IIoT, or industrial data platforms. Experience with Beckhoff TwinCAT, EtherCAT, or Beckhoff-controlled manufacturing equipment. Experience with ROS 2, DDS, Python, and C++ in robotics or industrial automation environments. Experience integrating systems across the engineering and manufacturing lifecycle, including requirements, CAD, PLM, MES, QMS, and production equipment. Experience with cloud, data-lake, lakehouse, time-series database, or event-streaming architectures. Experience developing dashboards using Grafana, Power BI, Tableau, or similar tools. Experience with conversational AI, retrieval-augmented generation (RAG), vector databases, or LLM-based engineering applications. Experience connecting machine-learning or computer-vision systems with live or historical manufacturing data. Experience with discrete-event simulation using SimPy, Simio, or similar tools. Experience with factory or robotics digital twins using NVIDIA Isaac Sim or similar simulation platforms. Experience deploying applications using industrial edge compute, GPUs, or container orchestration. Understanding of ISA-95 and modern manufacturing-system architectures. Familiarity with OT networking, cybersecurity, VLANs, firewalls, and industrial network architecture. Experience working with equipment OEMs, systems integrators, or commercial software vendors. Experience in aerospace, defense, automotive, semiconductor, electronics, or other advanced manufacturing environments. Additional Requirements Available to work extended hours and weekends as needed ITAR Requirements To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here . Senior Engineer $150,000 — $195,000 USD At Mach, we believe that compensation is more than just a paycheck. It's a comprehensive package designed to reward the time, skills, and expertise you bring to our team. We are committed to offering competitive compensation that is equitable, transparent, and aligned with market trends. Key Elements of Our Compensation Philosophy: Competitive Salaries : We continuously research market rates to ensure our salaries are competitive with those in our industry and geographic location. Performance-Based Incentives : Our bonus structure is tied to both individual and company performance, creating a win-win scenario that motivates our team members to excel. Equity Participation : We offer stock options or equity to employees, ensuring that you share in the success and growth of the company. Benefit Packages : Our benefits include healthcare, dental and vision plans, retirement savings, and paid time off, because we understand that your well-being extends beyond the office. Professional Development : We allocate funds for continuing education, training, and career growth. Transparency : We are committed to openness about our compensation tiers and how decisions are made, ensuring trust and mutual respect. By joining Mach, you’re not just accepting a job—you’re becoming a key part of a team that values your contributions and invests in your growth. Together, we aim to create a rewarding environment that sets the stage for long-term success. Data Privacy To view Mach Industries candidate data privacy policy, please visit machindustries.com . Disclosures This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license. Mach participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offers may vary based on (but not limited to) work experience, education and training, critical skills, and business considerations. Highly competitive equity grants are included in most offers and are considered part of Mach’s total compensation package. Mach offers benefits such as health insurance, retirement plans, and opportunities for professional development. Mach is an equal opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws. If you’d like to defend the American way of life, please reach out!

Requirements

Must-haves

Develop and deploy factory software connecting manufacturing equipment, edge devices, MES, SCADA, historians, and manufacturing data infrastructure.
Evaluate commercial factory software platforms and lead technical proof-of-concept implementations.
Develop integrations between engineering and manufacturing systems including PLM, MES, QMS, factory equipment, and data platforms.
Build and maintain APIs and data pipelines using technologies such as REST, OPC UA, MQTT, and DDS.
Develop standardized equipment data models, machine states, events, alarms, production records, and naming conventions.
Define requirements for collecting machine, process, quality, and vision data into Mach's manufacturing data infrastructure.
Develop Mach's IIoT connectivity patterns for machines, sensors, edge devices, and factory applications.
Develop interfaces between Beckhoff TwinCAT equipment controls and higher-level factory software.
Build GUI applications, web applications, and industrial HMI tools that provide engineers and operators access to manufacturing data and system integrations.
Develop OEE dashboards and analytics for availability, performance, downtime, cycle time, throughput, yield, and equipment utilization.
Build software and data tools that enable engineering teams to analyze and improve manufacturing processes.
Establish CI/CD, automated testing, version control, containerization, and repeatable deployment workflows for factory software.

Nice-to-haves

Experience evaluating or deploying commercial MES, SCADA, historian, IIoT, or industrial data platforms.
Experience with Beckhoff TwinCAT, EtherCAT, or Beckhoff-controlled manufacturing equipment.
Experience with ROS 2, DDS, Python, and C++ in robotics or industrial automation environments.
Experience integrating systems across the engineering and manufacturing lifecycle, including requirements, CAD, PLM, MES, QMS, and production equipment.
Experience with cloud, data-lake, lakehouse, time-series database, or event-streaming architectures.
Experience developing dashboards using Grafana, Power BI, Tableau, or similar tools.
Experience with conversational AI, retrieval-augmented generation (RAG), vector databases, or LLM-based engineering applications.
Experience connecting machine-learning or computer-vision systems with live or historical manufacturing data.
Experience with discrete-event simulation using SimPy, Simio, or similar tools.
Experience with factory or robotics digital twins using NVIDIA Isaac Sim or similar simulation platforms.
Experience deploying applications using industrial edge compute, GPUs, or container orchestration.
Understanding of ISA-95 and modern manufacturing-system architectures.

Application prep

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Keywords to mirror

restci/cdaipythonjavascripttypescriptllm

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Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

Paid Time Off

Professional Development