In this role, you will help drive the successful adoption of complex solutions by shaping technical approaches, engaging with customers, and guiding programs from concept through deployment.

Key responsibilities include:

• Owning the technical pre-sales cycle, running deep-dive discovery sessions, crafting solution architectures, and delivering demos and proof-of-concepts that showcase Hivemind's autonomy, AI/ML, and robotics capabilities.

• Serving as the customer's trusted technologist, translating mission needs into achievable engineering tasks, answering tough questions, and rapidly clearing technical blockers during capture.

• Designing integrations, working side-by-side with customer engineering teams to embed Hivemind on UAS, UGV, maritime, and fixed-site platforms, ensuring performance, security, and compliance.

• Creating crisp technical collateral, presentations, specs, FAQs, roadmaps, and demo scripts that accelerate decision-making and shorten sales cycles.

• Collaborating with Product & Engineering, relaying field feedback, influencing the roadmap, validating new features, and vetting out-of-plan opportunities for technical feasibility.

• Supporting proposals and RFIs, providing architectures, data sheets, and quantified performance claims that strengthen our bids.

• Championing Hivemind expertise globally, training regional BD teams and embedding with customers on-site for technical interchange meetings, flight tests, and system bring-ups.

• Tracking the landscape, staying current on autonomy and AI innovations, competitor offerings, and emerging standards to keep Shield AI in front.

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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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Your role will center around designing scalable, automated test infrastructure, validating mission-critical behaviors across simulation and real aircraft environments, and enabling rapid, safe deployment of software to flight operations. You'll partner closely with engineering, product, and flight test teams to ensure the system is testable, traceable, and always ready for mission.

This role focuses on accelerating software maturity and validation through rigorous, automated, and traceable testing practices for the VBAT platform.

Responsibilities:

• Build a world-class software and system test infrastructure for rapid software deployments
• Own end-to-end system test strategy for software-in-the-loop (SIL), hardware-in-the-loop (HIL), and vehicle-in-the-loop (VIL) environments,scaling them for continuous integration and rapid release cycles
• Design and implement mission-critical system test cases validating autonomous behaviors, requirements compliance, and operational edge cases across nominal, safety-critical, and degraded conditions
• Coordinate and execute flight test and software release campaigns, working cross-functionally with autonomy, embedded systems, flight ops, and safety engineering teams

Required qualifications:

• BS or MS in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, or related field
• 8+ years of experience in software testing, systems testing, or verification & validation for complex, safety-critical or mission-critical systems (autonomy, aerospace, defense, robotics, UAVs, etc.)
• 3+ years of experience leading teams, including some experience managing other managers
• Strong proficiency in test automation, scripting, data analysis, and test infrastructure development
• Hands-on experience building and maintaining automated test frameworks (SIL, HIL, VIL, CI/CD pipelines)
• Experience validating autonomous behaviors or distributed real-time systems
• Deep understanding of software verification methodologies, including requirements traceability, test planning, and regression testing
• Experience with hardware-in-the-loop testbeds, embedded systems, or avionics integration
• Ability to design system-level test cases including edge cases, degraded modes, and safety-critical scenarios
• Strong ability to work cross-functionally with autonomy, avionics, embedded, and flight ops teams
• Excellent communication and documentation skills, especially around test plans, procedures, and safety considerations

Preferred qualifications:

• Experience testing unmanned aircraft systems (UAS), rotorcraft, or airborne mission systems
• Knowledge of DO-178C, MIL-STD-882, STANAG, or other safety/airworthiness frameworks
• Experience with simulation tools (Gazebo, Isaac, ROS/ROS2 simulation, custom autonomy sims, etc.)
• Experience with continuous integration systems (Jenkins, GitLab CI, Buildkite, etc.)
• Knowledge of autonomy algorithms (navigation, planning, perception) sufficient to design adversarial or mission-based test scenarios
• Comfort operating in dynamic R&D environments where rapid iteration and tight feedback loops are the norm

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This role blends software development, field deployment, and problem-solving to ensure our technology delivers real mission impact. You will be deeply engaged in debugging and optimizing autonomy algorithms, refining system performance based on real-world data, and working closely with end-users to adapt our technology to mission needs.

Responsibilities:

• Develop and refine software for autonomy, networking, and mission execution, improving system performance in real-world maritime conditions
• Deploy and test ASV software in the field, identifying and resolving issues related to autonomy, perception, and control systems
• Analyze performance data from real-world missions, using insights to drive software improvements and optimize system behavior
• Integrate and validate new autonomy features, ensuring seamless interaction between software, sensors, and vessel hardware
• Work directly with operators and end-users, gathering feedback and adapting the system to operational requirements
• Troubleshoot and resolve software, hardware, and networking issues that arise during deployments
• Collaborate with cross-functional teams, including autonomy engineers, hardware developers, and field operations personnel, to enhance product capabilities
• Document best practices, deployment procedures, and debugging workflows to improve system reliability and scalability

Qualifications:

• Strong software engineering skills, with experience in C++, Rust, Python, or similar languages
• Background in robotics, autonomy, or embedded systems, particularly in maritime, aerospace, or defense applications
• Understanding of networking protocols and distributed systems, including TCP/IP, UDP, and message-passing frameworks
• Ability to diagnose and debug complex systems, from low-level networking issues to high-level autonomy behaviors
• Ability to work in dynamic environments, where software must adapt to real-world constraints and unpredictable conditions
• Willingness to travel (up to 50%), spending time in the field testing and improving ASV systems in real-world maritime settings
• Experience developing autonomy software for real-world robotic systems, particularly in challenging environments like the ocean
• Familiarity with motion planning, behavior trees, and control algorithms for autonomous navigation
• Background in maritime systems, naval operations, or defense technology
• Knowledge of distributed autonomy architectures and multi-agent coordination
• Hands-on experience integrating and deploying robotic systems in the field

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer
• Occasional standing and walking within the office
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment
• Visual acuity to read screens, documents, and reports
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3)

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