Jobs at Divergent

Own product management for Design and Engineering Systems software by prioritizing requests, aligning roadmaps with user and business needs, maintaining documentation and training, communicating releases, and driving adoption. The role partners with engineering and cross-functional stakeholders to reduce fragmented product-management overhead and protect developer focus. Candidates need substantial CAE or engineering-software product-management experience, mechanical engineering education, strong communication skills, and familiarity with technical design, PLM, or additive-manufacturing systems.

Architect and lead development of high-performance interactive 3D desktop and web-based CAE applications. Design scalable GPU job architectures, establish application frameworks, delegate implementation, ensure industrial-grade quality and performance, mentor engineers, and align software architecture with computational-design strategy. The role requires deep experience in 3D rendering, UI architecture, desktop software engineering, complex systems, and CAE/PLM ecosystems.

Owns the reliability, troubleshooting, optimization, and sustaining performance of mechanical production L-PBF equipment. Responsibilities include resolving fleet problems, leading root-cause investigations, supporting service and operations, improving work instructions, managing equipment changes, analyzing machine and production data, and supporting installation, commissioning, qualification, and factory expansion. The role also contributes to quality compliance, cost reduction, design for manufacturability and reliability, and mentors technicians and engineers.

Owns electrical equipment reliability for Laser Powder Bed Fusion production systems. Troubleshoots power distribution, controls, sensors, instrumentation, drives, wiring, and safety interlocks; leads root-cause investigations and corrective actions; analyzes machine and part data; improves maintenance and work instructions; supports equipment launches, change control, fleet reliability, cost reduction, and cross-functional engineering and operations teams.

Leads Divergent’s Washington, DC/Northern Virginia office and serves as the primary liaison to defense and Executive Branch agencies. Builds senior government and industry relationships, shapes business opportunities, supports capture strategies, provides policy and budget intelligence, and contributes to revenue growth. Establishes office strategy, staffing, metrics, and compliance protocols while partnering with commercial, capture, engineering, operations, technology, and finance teams. Regular travel to California facilities and customer sites is expected.

Leads Divergent’s Washington, DC/Northern Virginia office and serves as its senior liaison to defense and Executive Branch stakeholders. The role develops government relationships, shapes and captures business opportunities, analyzes defense policy and budgets, supports partnerships, advises executives, and ensures compliant government engagement. Responsibilities include establishing the office’s strategy, team, budget, metrics, and compliance framework while contributing to pipeline development, bookings, and revenue growth.

Own and maintain the Ignition SCADA platform for factory, facility, and equipment data. Design dashboards, operator interfaces, alarms, trends, reports, and scalable data architectures. Integrate PLCs and industrial systems, establish data standards, troubleshoot communications and data quality, and collaborate with manufacturing, facilities, automation, and IT teams. Support broader controls development, commissioning, robotics, motion control, and electrical systems as needed in a fully onsite factory environment.

Develops statistical and machine learning models using manufacturing data to predict production time and costs. Unifies MES, ERP, equipment, staffing, and engineering data; defines data quality rules; identifies process improvements; and supports pricing, capacity, staffing, simulation, and investment decisions. The role leads cross-functional analytics projects, validates insights on the shop floor, and communicates technical findings to technical and non-technical stakeholders.

The role involves developing algorithms for robotic task and motion planning, collaborating with engineers, and enhancing software solutions for robotics systems.

Design, implement, and optimize robotics and machine-control software for industrial additive manufacturing and automated production. Build real-time, reliable control systems integrating robots, sensors, vision, PLCs, and factory equipment. Lead architecture, troubleshoot integrations, improve throughput and uptime, and collaborate with cross-functional engineering teams to deploy production-ready automation solutions.

Lead software architecture for robotics and AI systems using C++ and Python. Design real-time robotics control, planning, optimization, generative AI, operator GUIs, diagnostics, simulation, and production integrations. Establish scalable infrastructure, CI/CD, containerization, testing, and deployment practices. Integrate robotics stacks, hardware, sensors, and manufacturing systems while leading technical reviews, mentoring engineers, commissioning systems, and troubleshooting production hardware.

Design, implement, and optimize robot task and motion planning algorithms and integrate computer vision for industrial robotic systems. Collaborate with cross-functional teams to test, document, and deploy software using ROS/MoveIt, CI/CD, and containerization, while following software development best practices.

Develop and optimize robotics task and motion planning and computer vision software. Implement algorithms for symbolic task planning, kinematics, collision detection, optimization, and constraint satisfaction. Integrate and test planning and vision components, maintain development best practices, and collaborate across teams to deliver robust robotic software.

Design, build, commission, and operate propulsion test stands for turbomachinery and jet engines. Own mechanical structures, high-pressure fluid systems, instrumentation, controls, data acquisition, safety reviews, and test campaign execution. Analyze propulsion performance, troubleshoot technical issues, improve automation and reliability, and deliver high-fidelity flight-critical test data in a hands-on onsite environment.

Lead the automation and controls engineering organization responsible for electrical, PLC, HMI, SCADA, motion control, robotics, safety, and factory automation systems. Establish scalable architectures, standards, technology roadmaps, and engineering practices from machine development through factory deployment. Drive advanced robotics and autonomous operations, reliability, compliance, and production readiness while reducing manual labor and costs. Build high-performing teams, manage cross-functional execution, and align engineering investments with business goals.

Design, develop, and productionize LLM and multimodal AI solutions (RAG, agents). Lead internal AI enablement through training, playbooks, office hours, and cross‑functional collaboration to ensure responsible, scalable AI adoption.

Leads resolution of complex reliability issues across an additive manufacturing machine fleet. Owns issue intake, triage, root-cause investigations, corrective actions, validation, and closure. Coordinates cross-functional engineering teams, uses machine and production data to identify systemic failures, informs future product requirements, and communicates risks and recommendations to technical and business leaders. The role also develops reliability processes, standards, metrics, and technical-debt reduction mechanisms.

Leads fleet-wide reliability improvement for additive manufacturing equipment. Owns issue intake, triage, prioritization, root-cause investigations, corrective actions, validation, and closure of complex machine failures. Coordinates cross-functional engineering teams, interprets machine and production data, develops reliability requirements and standards, communicates technical risks, and improves reliability processes across the product lifecycle.

Leads resolution of systemic reliability issues across an additive manufacturing machine fleet. Owns issue intake, triage, root-cause investigations, corrective actions, validation, and closure. Coordinates cross-functional engineering teams, interprets machine and production data, develops reliability requirements and validation strategies, communicates risks, and improves reliability processes, metrics, standards, and technical-debt reduction mechanisms.

Leads reliability issue intake, root-cause investigations, corrective actions, and validated closure across an additive manufacturing machine fleet. Partners with multidisciplinary engineering, production, service, and supplier teams to resolve systemic failures, improve reliability metrics and processes, establish engineering standards, and inform future machine designs. Requires strong technical leadership, data-driven problem solving, and experience with automated electromechanical equipment.