Forward Deployed Engineer Jobs

About The Position

Requirements

• At least 5 years of experience as a software engineer, manufacturing systems engineer, industrial software engineer, solutions engineer, or in a similar hands-on engineering role.
• Strong background building production software, integrating systems, and working across application, cloud, edge, and data layers.
• Demonstrated experience with manufacturing environments, automation systems, plant-floor data, MES integrations, industrial equipment, quality systems, maintenance workflows, or production operations.
• Hands-on familiarity with IIoT architectures, MQTT, OPC-UA, edge gateways, industrial protocols, event-driven architectures, time-series data, sensor-data ingestion, and secure connectivity between plant-floor systems and cloud platforms.
• Ability to build or support manufacturing analytics for OEE, throughput, downtime, cycle time, bottlenecks, quality, scrap, traceability, energy consumption, and asset performance.
• Experience turning noisy operational data into trusted metrics, dashboards, alerts, and decision-support tools.
• Experience with Go, Python, TypeScript, API design, OpenShift, GCP or comparable cloud platforms, containerized services, infrastructure-as-code, CI/CD, observability, and secure production operations.
• Track record of taking ambiguous, high-stakes operational problems from initial discussion to working software in production.
• Comfort working in changing manufacturing environments, spending time onsite with operators and engineers, and troubleshooting real systems.
• Excellent communication and relationship-building skills, including the ability to translate between software engineering, controls, operations, quality, maintenance, product, and business stakeholders.
• Comfort operating with minimal process and significant latitude, taking accountability for shipped work, and building practices for software-defined manufacturing.
• Legally authorized to work in the United States; employment eligibility will be verified at hire.

Nice To Haves

• Experience with highly automated facilities, controls-adjacent systems, and manufacturing launch or ramp environments.
• Experience working in highly secured environments with identity and access management, secrets handling, vulnerability remediation, audit logging, network controls, and secure deployment practices.
• Experience with data platforms, streaming architectures, and AI/ML-enabled automation.

Responsibilities

• Design, develop, and deploy software connecting automated equipment, sensors, PLC-adjacent data, MES workflows, quality systems, warehouse systems, and cloud platforms.
• Build custom edge capabilities that improve observability, reliability, and continuous improvement in highly automated facilities.
• Design and operate IIoT architectures, MQTT messaging, OPC-UA connectivity, edge gateways, time-series data flows, event-driven systems, and manufacturing data models.
• Move trustworthy equipment and process data into applications, analytics, and decision-making workflows.
• Work with manufacturing operations, controls, maintenance, quality, process engineering, product, and business stakeholders to understand production problems and deliver software that works in a facility.
• Build analytics and operational intelligence for throughput, uptime, downtime, OEE, quality, scrap, traceability, cycle time, bottlenecks, energy usage, and launch readiness.
• Deliver insights, alerts, dashboards, models, and workflows that support measurable operational improvement.
• Own delivery across application engineering, cloud infrastructure, edge deployment, integrations, automation, observability, and production support.
• Build production-ready systems while respecting safety, reliability, change control, cybersecurity, secure access, network segmentation, data protection, uptime, latency, data quality, and maintainability requirements.
• Design and operate secure manufacturing solutions with identity and access control, secrets management, network boundaries, auditability, vulnerability management, and secure software delivery.
• Apply generative AI, applied machine learning, anomaly detection, predictive analytics, intelligent automation, and AI-assisted development when they provide measurable manufacturing value and can be adopted safely.
• Contribute high-quality designs and code, participate in architecture and code reviews, define durable industrial integration patterns, and help establish software, data, security, and deployment standards.
• Troubleshoot real systems onsite and balance speed with safety, reliability, cybersecurity, maintainability, and uptime.

Benefits

• Immediate medical, dental, vision, and prescription drug coverage.
• Flexible family care days, paid parental leave, new parent ramp-up programs, and subsidized backup childcare.
• Family-building benefits, including adoption and surrogacy expense reimbursement and fertility treatments.
• Vehicle discount program for employees and family members, and management leases.
• Tuition assistance.
• Employee resource groups.
• Paid time off for individual and team community service.
• Paid holidays, including the week between Christmas and New Year’s Day.
• Paid time off and the option to purchase additional vacation time.