Your role will involve hands-on software development and collaboration with cross-functional teams to ensure optimal performance and integration of cutting-edge technologies.

Key responsibilities include:

• Owning the product technical road map and working with functional leads to prioritise development of features for customers
• Being the technical expert on the full suite of product system software
• Working with customer teams and customers to convert requirements into execution
• Implementing high-priority capabilities
• Influencing functional teams to get their best work

Required qualifications include 5+ years of experience in software engineering, a degree in Computer Science, Computer Engineering, or equivalent, and ability to write and review code in C++, Python, and JavaScript.

Preferred qualifications include ability to write and review code in Nix, experience in edge robotics software architecture, and understanding of the network layer coherent with message busses.

US Salary Range $191,000-$253,000 USD.

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Shield AI is scaling and growing rapidly. The ideal candidate will demonstrate adaptability, a growth mindset, and a willingness to learn new technologies and methodologies quickly in a fast-paced, evolving environment. This is an opportunity to contribute to something truly remarkable,advancing autonomy that is changing the world,while thriving in a mission-driven, collaborative, and high-performance culture.

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.
• Develop test harnesses and data validation tools for Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) / Vehicle-in-the-Loop (VIL) and simulation environments.
• Contribute to the definition of testing methodologies, metrics, and performance benchmarks for autonomy software validation.
• Support the scaling and reliability of simulation infrastructure used for large-scale software validation.
• Maintain detailed and accurate test documentation, ensuring traceability and knowledge sharing across teams.
• Work with developers to integrate test coverage directly into the development pipeline (CI/CD).

Requirements:

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or related technical field.
• 3–5 years of experience in software integration, testing, or quality assurance, preferably in robotics, aerospace, or autonomous systems.
• Proficiency in Python for test automation, scripting, and data analysis.
• Experience with simulation environments (e.g., Gazebo, Unreal, or custom simulation frameworks) and test automation tools.
• Strong understanding of software testing principles, including integration, regression, and system-level validation.
• Familiarity with continuous integration (CI/CD) and test pipelines (e.g., GitLab CI, Jenkins).
• Excellent analytical, problem-solving, and debugging skills.
• Strong collaboration and communication skills with software and systems teams.
• Adaptability, growth mindset, and willingness to learn new technologies quickly in a fast-paced, scaling environment.
• Self-starter with a sense of urgency, motivation, and comfort operating in ambiguity.
• U.S. Citizenship and ability to obtain and maintain a SECRET clearance.

Preferences:

• Experience testing autonomous systems, robotics software, or flight autonomy algorithms.
• Familiarity with C++ and software/hardware integration concepts.
• Experience with HIL or VIL test environments.
• Exposure to machine learning or AI-driven autonomy systems.
• Background in simulation infrastructure design, distributed testing, or test data management.
• Quality Assurance (QA) experience, including process definition, metrics, and validation tracking.
• Experience with aerospace, defense, or mission-critical software.
• Active SECRET clearance preferred.

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