Top Aerospace Jobs in Oklahoma City, OK

The E-4B Customer Support Engineer is responsible for managing maintenance activities, leading engineering support, and improving efficiency during PDM for E-4B aircraft.

As an Entry Level Manufacturing Engineer, you'll support manufacturing processes, participate in technical integration, and implement Lean principles while collaborating with cross-functional teams.

The role involves supporting program management by coordinating initiatives, managing cross-functional teams, ensuring compliance, and analyzing data for decision-making.

The Deployment Lead will oversee product strategy to technical execution, ensuring successful delivery of ASI's products for clients in aerospace and aviation.

The Geospatial Solutions Architect will design and implement geospatial data visualization solutions, develop operational dashboards, and oversee the integration of geospatial AI/ML models for a DoD customer.

The Sales Engineer role involves guiding integration of advanced wireless networking solutions for unmanned systems, addressing technical challenges, and ensuring successful deployments while maintaining CRM documentation and customer relations.

As a Senior FPGA Verification Engineer, you will architect and develop test benches, verify code functionality, and prepare design review materials.

Lead and manage embedded software team, develop safety-critical UAV software, interface with aircraft systems, and ensure compliance with safety standards.

This role involves analyzing logistics plans for aircraft maintenance, coordinating logistics activities, overseeing project completion, and providing status reports to management. Leadership and technical analysis are also key responsibilities.

Handle inbound and outbound customer calls, provide product/service information, resolve complaints, document interactions, follow scripts and procedures, meet performance targets, escalate complex issues, and protect customer confidentiality.

The Senior Systems Engineer oversees complex systems infrastructure, ensuring uptime, security, and performance while leading IT projects and mentoring junior staff in a regulated environment.

The Platform Engineer will design and implement scalable compute infrastructure for autonomous vehicle simulation, utilizing cloud platforms and on-premises clusters, along with managing CI/CD pipelines and monitoring systems.

The Robotics Perception Engineer will integrate real-time vision systems and perception infrastructure for UAS, develop camera pipelines, and implement sensor fusion algorithms for reliable performance across operating conditions.

The Machine Learning Engineer will develop and deploy computer vision models, manage ML data infrastructure, and integrate systems for autonomous aerial platforms.