Senior Technical Integration Lead – Robotics & Drones

• Lead demonstration planning, execution, and support activities, ensuring successful customer-facing events and technology evaluations.
• Develop test strategies, schedules, procedures, and acceptance criteria for integrated robotics and drone systems.
• Lead system-level testing, issue investigation, root cause analysis, and corrective action implementation.
• Analyze system performance data and communicate results, risks, and recommendations to technical and business stakeholders.
• Design, execute, and document benchmarking activities to evaluate system performance against customer requirements and competitive solutions.

• Partner with AI/ML, perception, systems, software, hardware, and validation teams to ensure technologies are properly integrated and optimized.
• Collaborate with project managers and product leaders to prioritize deliverables, manage risks, and align technical activities with program objectives.
• Coordinate activities across global engineering teams to effectively utilize resources and meet project milestones.
• Work closely with internal stakeholders and external customers to define demonstration objectives, success criteria, and system requirements.
• Interface with strategic partners, technology suppliers, and customer engineering teams during integration and demonstration activities.

• Drive improvements in integration processes, validation methodologies, and demonstration readiness practices.
• Identify opportunities to improve quality, efficiency, repeatability, and scalability of integration workflows.
• Support technology pursuits, customer engagements, and pre-production development programs.
• Promote adoption of common architectures, integration standards, and best practices across robotics and autonomous platform projects.

• Bachelor's or Master's degree in Robotics, Computer Engineering, Electrical Engineering, Computer Science, Aerospace Engineering, or a related technical field.
• 8+ years of experience developing, integrating, or validating complex robotics, autonomous systems, drones, or embedded software platforms.
• Demonstrated experience leading multidisciplinary integration efforts involving hardware, software, sensing, and compute platforms.
• Strong understanding of embedded systems, system architectures, networking, and real-time software constraints.
• Experience with system bring-up, debugging, troubleshooting, and root cause analysis in field or laboratory environments.
• Excellent communication, leadership, and stakeholder management skills.
• Ability to travel to customer sites, field test locations, and demonstration events as required.

• Experience with autonomous systems, mobile robotics, unmanned aerial systems (UAS), autonomous mobile robots (AMR), or intelligent vehicle platforms.
• Hands-on experience with robotics middleware such as ROS or ROS 2.
• Experience integrating perception systems including cameras, radar, lidar, GNSS, IMU, and other environmental sensors.
• Familiarity with AI/ML-enabled autonomy and perception systems.
• Experience with Linux-based development environments and embedded software platforms.
• Knowledge of wireless communications, networking, telemetry, and remote operations.
• Experience with simulation, digital twins, software-in-the-loop (SIL), hardware-in-the-loop (HIL), or data replay environments.
• Experience working with heterogeneous compute platforms including GPU, NPU, FPGA, or DSP architectures.
• Experience supporting customer demonstrations, prototypes, proof-of-concepts, and advanced development programs.
• Ability to thrive in fast-paced, rapidly evolving, and highly collaborative engineering environments.

Traits we seek:

• Systems Thinkers who understand how data flows through complex robotics and AI/ML ecosystems.
• Ownership Mentality with a strong focus on reliability, quality, and operational excellence.
• Automation Advocates who eliminate manual processes through scalable engineering solutions.
• Data-Driven Problem Solvers who use metrics and evidence to drive improvements.

Collaborative Influencers who effectively work across software, ML, robotics, and infrastructure teams

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