The Hivemind Enterprise product is a software development kit (SDK) that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms.

As a Requirements Engineer for Hivemind at Shield AI, you will be a key member of a multidisciplinary systems engineering team, working collaboratively with Product, technical individual contributors, Test / Quality Assurance team members, and systems modelers to translate product user stories into clear engineering requirements with testable metrics.

This role involves defining, modeling, and validating the Hivemind software system and its applications. It is hands-on and highly collaborative, requiring expertise in requirements formulation, traceability, management, systems modeling, and knowledge of autonomous software pipelines.

Responsibilities:

• Work cross-functionally with Product Managers, technical individual contributors, and Quality Assurance team members to translate high-level customer feature requests into clear, detailed technical requirements aligned with product vision and roadmap.

• Identify dependencies, constraints, edge cases, and risks within proposed product or technical requirements.

• Author clear and well-structured documentation, including acceptance criteria, traceability links, and system models.

• Collaborate with the Quality Assurance, Test, and development teams to validate that requirements are implemented correctly.

• Track and manage requirements throughout the development lifecycle.

• Serve as the point of integration between customer intent and engineering execution.

Qualifications:

• Bachelor’s degree with approximately 7+ years of relevant experience, or Master’s degree with approximately 5+ years of relevant experience, in Systems Engineering, Aerospace Engineering, Robotics, Software Engineering, or a closely related technical field.

• Extensive experience generating product and test requirements for software products.

• Working knowledge of requirements management tools such as DOORS, Jama, or Jira.

• Comprehensive understanding of robotics and autonomy concepts.

• Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes.

Preferred Qualifications:

• Experience supporting or defining developer tooling, SDKs, or platforms.

• Exposure to safety-critical or mission-critical software development environments.

• Experience creating software tooling or using software APIs for common requirements and project management tools.

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