Forward Deployed Engineer (FDE) - United States

Maneva

$90K — $130K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years in production software engineering with industrial automation/applied AI
  • Experience deploying production software into customer infrastructures
  • Proficient in Python development using Linux, Docker, and Git
  • Cloud deployment knowledge with AWS, Azure, or GCP
  • Familiarity with OPC-UA/Modbus/PLC integration or NVIDIA Jetson platforms
  • Understanding of networking basics for industrial settings
  • Experience as a customer-facing technical engineer
  • Professional proficiency in English

Responsibilities

  • Own AI deployment lifecycle for manufacturing clients from scoping to production
  • Embed with customer teams as a technical advisor
  • Integrate AI vision systems with operational technology and IT infrastructure
  • Build data pipelines and manage data flow from edge to cloud
  • Troubleshoot live production software and networking issues
  • Document technical architectures and compile handover documents
  • Train customer personnel in French and English for system operations
  • Engage in pre-sales discussions and contribute insights to product development
Full Job Description
As a Forward Deployed Engineer, you will play a pivotal role in deploying advanced AI systems directly into customer environments, acting as the primary technical contact and trusted advisor for strategic manufacturing accounts.

Key responsibilities include:
  • Own the end-to-end lifecycle of AI deployment for manufacturing clients, from scoping and integration to production hardening and handover.
  • Embed with customer operations and IT teams, serving as the main technical advisor and point of contact.
  • Integrate AI vision systems with OT/IT/cloud stacks, including OPC-UA/Modbus/PLCs, NVIDIA Jetson edge inference, ERP, and customer cloud platforms.
  • Build and iterate data pipelines and customer-side data flywheels, covering edge-to-cloud capture, model deployment, monitoring, and feedback loops.
  • Troubleshoot software, networking, and integration issues in live production environments.
  • Document architectures and configurations, producing formal handover artifacts for long-term support.
  • Train customer operators and engineers in both French and English to ensure successful adoption and operation of deployed systems.
  • Participate in pre-sales scoping calls and contribute field learnings to the product and engineering roadmap, helping shape reusable deployment patterns and internal tooling.
  • Support on-site data collection and annotation as needed.

Requirements
Required Qualifications:
  • 6+ years of experience combining production software engineering with industrial automation and/or applied AI
  • Proven experience shipping and supporting production software systems deployed into customer infrastructure
  • Production Python development experience with hands-on use of Linux, Docker, and Git in production environments
  • Cloud deployment and operations experience with at least one major platform (AWS, Azure, or GCP)
  • Hands-on experience with at least one of: OPC-UA/Modbus/PLC integration, NVIDIA Jetson (or equivalent) edge platforms, or GenICam/industrial vision systems
  • Networking fundamentals for industrial deployments, including TCP/IP, VLANs, and firewalls
  • Experience in a customer-facing engineering role as the primary technical contact for external stakeholders
  • Professional working proficiency in English
Preferred Qualifications:
  • Professional experience working in industrial automation or manufacturing environments involving OT/IT integration

Benefits

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