The Hivemind Solutions Test Department is seeking an Engineer II (Software & Simulation Focus) to validate the reliability, safety, and performance of autonomy software through simulation-driven testing, automation, and software quality efforts.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases
Identify, reproduce, and diagnose software issues—collaborating closely with development teams to drive fixes and improvements
Create and execute test plans and documentation for autonomy software in simulated environments, ensuring mission and safety requirements are met
Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance
Build tools and utilities in Python to automate testing, data processing, and analysis workflows
Engineer II or Senior Engineer to build out our developer experience and development capabilities within the Human Machine Teaming (HMT) Group at Shield AI.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Become a skilled user of the Hivemind SDK and its autonomy modules, building with the same tools the development teams and our customers do.
Conduct knowledge elicitation and applied human factors and front-end analysis with developers as users of the Hivemind SDK, tools such as Forge and Commander, and with other HMIs.
Translate developer, operator, and customer needs into design and development requirements that SDK and HMI teams can implement and test.
Specify HMT requirements for developer-facing and operator-facing interfaces, and review proposed designs against them.
Assess whether delivered tools, code, and systems satisfy the stated user and HMT requirements, and document gaps with recommended remedies.
Requirements
Bachelor's degree in computer science, software engineering, or related field
Master's degree in computer science, software engineering, or related field
PhD in computer science, software engineering, or related field
Build and own autonomy behaviors that directly power our products, taking responsibility for key components from design through deployment.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level insertions
Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms
Deploy autonomy capabilities to real space vehicles, supporting analysis of mission logs to verify software performance and validate system operational effect
Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission
Lead a team supporting the development, integration, testing, and deployment of autonomous systems in Ukraine.
Responsibilities
Lead, mentor, and develop a team of Autonomy Software Integration & Test Engineers.
Set technical priorities, assign resources, manage schedules, and ensure the team delivers against operational requirements.
Guide the development and integration of autonomy software across fixed-wing, multirotor, and other unmanned systems.
Provide technical direction for software bring-up, system configuration, troubleshooting, and mission readiness.
Oversee simulation, SIL, HIL, VIL, ground-test, and live flight-test activities.
Requirements
Bachelor’s degree in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent practical experience.
Nice to have: leading teams supporting autonomous aircraft or unmanned systems
Build the foundation for the next generation of autonomous systems by developing and integrating the core software and platform infrastructure that powers mission-critical technology, working across teams to deliver reliable, scalable solutions from development through deployment.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Own platform integration across SIL, HIL, VIL, and edge deployment workflows, ensuring components work together reliably and are easy for developers to use.
Build and maintain reference work spaces, platform reference implementations, and tooling that accelerate development, testing, deployment, and validation.
Integrate platform-level software across hardware, sensors, controllers, APIs, configuration, orchestration, and fleet/device management systems.
Support embedded platform bring-up and hardware diversification across developer boards, iron birds, aircraft/vehicle test platforms, and other reference hardware.
Improve platform stability, API quality, developer experience, and system scalability for mission-critical product and customer commitments.
Requirements
B.S. or Master’s degree in Engineering, Computer Science, or related field
Senior Staff Engineer to help define and build the AI Factory Reference Architecture, a Kubernetes-native platform for developing, training, evaluating, and deploying next-generation AI systems across internal and external customer environments.
Compensation
Pay within range listed + Bonus + Equity
Responsibilities
Lead the design and implementation of the AI Factory Reference Architecture, delivering a Kubernetes-native platform for AI development, distributed training, simulation, evaluation, and deployment.
Partner directly with ML researchers to understand evolving training workflows and ensure the platform supports state-of-the-art AI frameworks, foundation model development, reinforcement learning, distributed training, and emerging research workflows.
Design self-service AI development workflows that enable engineers to move seamlessly from local experimentation to large-scale distributed execution using familiar open source tools and frameworks.
Build the infrastructure required to support distributed training, simulation, inference, and reinforcement learning workloads.
Design and optimize shared GPU infrastructure across cloud and on-premises environments.
Requirements
Nice to have: Ray
Nice to have: KAI
Nice to have: Slurm
Nice to have: reinforcement learning
Nice to have: simulation-driven training
Skills
Senior Staff Engineer, Software Autonomy (R5125)
f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Nov 4, 2026
The Senior Staff Software Engineer, Autonomy will function as a hands on technical lead / subject matter expert and collaborate with Shield AI teammates / customers to build edge-AI and autonomy software for platforms across sea, air, and space.
Responsibilities
Autonomous teaming drones
Teaming between helicopters and drones
Autonomy on Robodogs
AI Pilots for Fighter Jets
Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit
Requirements
Bachelor’s degree in Aerospace, AI, Computer Science, Robotics or a related engineering field
Masters degree in Aerospace, AI, Computer Science, Robotics or a related engineering field
