
Maren-Go offers end-to-end smart airfield solutions that enable safer, more efficient airfield operations. The company develops an autonomous operating system for airfields and uses AI, automation, and IoT to support autonomous missions and airfield management. Its offerings span autonomous airfield operations, small-scale persistent autonomy, and intelligent drone and vehicle systems used by defense and expeditionary logistics. The technology integrates with systems across defense and logistics workflows, leveraging the Maren-go micro-controller to coordinate platforms. The company targets the US defense sector and other enterprise customers, aiming to scale across multiple airfields and remote locations.

Maren-Go offers end-to-end smart airfield solutions that enable safer, more efficient airfield operations. The company develops an autonomous operating system for airfields and uses AI, automation, and IoT to support autonomous missions and airfield management. Its offerings span autonomous airfield operations, small-scale persistent autonomy, and intelligent drone and vehicle systems used by defense and expeditionary logistics. The technology integrates with systems across defense and logistics workflows, leveraging the Maren-go micro-controller to coordinate platforms. The company targets the US defense sector and other enterprise customers, aiming to scale across multiple airfields and remote locations.
Job Title: Autonomy Engineer
Location: Vancouver, WA (hybrid option)
Company: Maren-go Solutions Corporation
About Us:
Maren-go Solutions Corporation is a leading provider of advanced automation and technology solutions, dedicated to enhancing operational efficiency across various industries. We are transitioning from research and development to an operational business with a public-facing product focused on the defense market. Our autonomy software system is a key internal product, driving our innovative automation solutions with successful deployments to multiple airfields supporting daily operations. Future projects include integration of additional robots onto the airfield from 3rd Party providers and new mission profiles for the systems already deployed.
Job Description:
As an Autonomy Engineer at Maren-go Solutions Corporation, you will be the accountable owner of one or more functions within our autonomy system. You will execute projects cross-functionally alongside mechanical, electrical, back-end software, and autonomy software engineers, with input from product requirements, metrics, safety, and user research. This role is critical for successfully launching our autonomous airfield operating system.
Responsibilities:
Qualifications:
Bonus Qualifications:
Compensation:
How to Apply:
Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and why they are a good fit for this role to chris@maren-go.com .
About Maren-go Solutions Corporation:
Maren-go Solutions Corporation is at the forefront of developing advanced automation systems, including ground and air autonomous systems and sensor deployments within the NATO defense environment and civil aviation space. We are committed to our warfighters having the necessary tools from the civilian world to train and deploy with where required. Join us and be part of a fast-moving, highly execution-oriented team that is shaping the future of automation.
Define ODD & KPIs: Help establish rigorous Key Performance Indicators and operational constraints within the Operational Design Domain to quantify autonomy success.
System Decomposition: Decompose complex autonomous behaviors (Perception, Planning, Control) into modular sub-functions and technically prioritize them against the product roadmap.
Validation & Regression: Architect comprehensive testing pipelines, including Unit, Integration, Hardware-in-the-Loop and Software-in-the-Loop tests, to establish statistical confidence in code stability.
Collaborative Field Validation: Join the test engineering team in the field to execute validation plans, performing real-time debugging and root-cause analysis on physical hardware to close the loop between code and reality.
Cross-Stack Optimization :
Collaborate with Hardware and Software teams to define compute budgets and high-level requirements.
Technical Interface: Act as the bridge between organizations, defining clear APIs to resolve system-level dependencies with minimal context switching for core engineers.
Edge Case Analysis: Proactively identify performance bottlenecks and long-tail edge cases, utilizing data-driven insights to address architectural gaps before they impact scalability.
Nationwide Deployment & Commissioning: Travel to customer sites across the US to lead Site Acceptance Testing and system commissioning, ensuring the autonomy stack performs reliably in diverse, real-world environments.
Production Implementation: Design, code, and deploy production-quality C++/Python software for ground robots, interfacing directly with RTOS, drivers, and middleware (ROS2, DDS).