Own the development and review of verification procedures and environments in order to test and verify embedded software code for a safety critical DO-178C DAL-A aerospace application.
Responsibilities
Contribution to the development of company technical verification processes
Own the delivery and execution of test in different test scenarios – low level requirement testing, high level requirement testing, software-software integration testing, and hardware-software integration testing
Creation and management of test plans and schedules
Creation of documentation necessary for success of deliveries
Participate in requirements review
Requirements
Degree level qualification or equivalent experience
Join a growing autonomous transportation team as a Robotics Test Engineer, helping build the device bring-up and testing infrastructure needed to integrate vehicles into a modular autonomy stack.
Compensation
Base salary: $182,000 to $230,000 annually. Visa sponsorship is available.
Responsibilities
Create processes and software for flashing, bringing up, and testing vehicle devices across multiple manufacturers.
Debug software and hardware integration issues with technicians, electrical engineers, and robotics engineers.
Build hardware-in-the-loop tests for actuation, burn-in, and bench testing.
Develop technician-facing tools for test visualization, deployment, execution, and results tracking.
Establish scalable processes for integrating new devices with an autonomous software stack.
Requirements
Bachelor's degree in robotics, electrical engineering, computer science, or a related engineering field.
Lead engineer providing technical leadership for guidance, navigation, and control (GN&C) systems for flight simulators and missile/spacecraft applications.
Design, develop and maintain modular Python services, APIs, command-line tools and automation libraries for device orchestration, process execution, configuration and data handling.
Responsibilities
Design, develop and maintain modular Python services, APIs, command-line tools and automation libraries for device orchestration, process execution, configuration and data handling.
Manage IoT and edge-device lifecycles, including discovery, secure onboarding, provisioning, inventory, configuration, health monitoring and controlled decommissioning.
Integrate instruments, sensors and gateways through vendor SDKs, REST or gRPC APIs and messaging protocols such as MQTT; validate commands, telemetry and device state.
Automate deployment and version tracking of applications and containers on Linux edge systems; support-controlled software and firmware updates with compatibility checks, staged rollout and rollback or recovery.
Troubleshoot failures across Python code, operating-system services, networking, containers and hardware interfaces; implement structured logging, metrics, alerts and diagnostic collection.
Requirements
Bachelor’s degree in computer science, Electronics, Electrical Engineering or a related technical field, or equivalent practical experience.
Maintain end-to-end ownership of the aircraft’s testing lifecycle on the production line, authoring and executing test procedures, training technicians, troubleshooting failures, and driving continuous improvement.
Locations (2)
Ashville, Ohio, United States
Columbus, Ohio, United States
Compensation
$114,000—$152,000 USD
Responsibilities
Author Test Procedures
Execute Aircraft Testing
Troubleshoot Flight Hardware
Technician Training & Enablement
Continuous Improvement
Requirements
Bachelor's degree in Aerospace, Electrical, Computer, Mechanical Engineering, or a related technical field
Lead Researcher focused on advanced control systems for energy applications
Responsibilities
Lead the design, development, and deployment of advanced control strategies including model based control (MBC), adaptive control, robust control, and nonlinear control for complex energy systems.
Architect control system frameworks for dynamic systems, ensuring stability, performance, scalability, and seamless integration with hardware and software platforms.
Lead system modelling, simulation, and hardware-in-the-loop (HIL) testing to validate and refine control algorithms before field deployment.
Drive the application of signal processing techniques for sensor data conditioning, state estimation, and fault detection to support control system performance.
Direct the analysis of complex operational datasets to inform control design decisions and guide the development of data-driven control and optimization algorithms.
Requirements
PhD in control systems engineering or related discipline
Master's degree in control systems engineering or related discipline
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