Shield AI에서 Hivemind 플랫폼의 요구사항을 정의하고 모델링할 Staff Systems Engineer를 채용합니다. 시스템 엔지니어링 및 요구사항 관리 경험이 필수이며, SysML과 Cameo를 활용해 자율주행 소프트웨어의 아키텍처와 요구사항 간의 일관성을 확보하는 핵심 역할을 수행합니다. 복잡한 소프트웨어 시스템 설계 및 검증에 능숙한 전문가를 찾습니다.
San Diego, California
Hivemind Platform Division – Engineering /
Full Time Employee /
On-site
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
The Hivemind Platform Team at Shield AI is seeking a highly skilled and detail-oriented Requirements Engineer to join our team.
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. Hivemind Enterprise is a highly technical software product providing tools and user interfaces to support multiple user personae, ranging from AI developers to test engineers.
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. While the primary focus is requirements development, this role also supports system model development as part of a broader systems engineering function and requires close collaboration with systems modelers to ensure consistency between requirements, system architecture, and system behavior across the Hivemind SDK.
Requirements development: 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. Ensure requirements are actionable by engineering teams and testable through defined metrics and acceptance criteria.
Requirements analysis: Identify dependencies, constraints, edge cases, and risks within proposed product or technical requirements. Ensure all requirements are feasible, testable, and aligned with business objectives and technical constraints.
Documentation and modeling: Author clear and well-structured documentation, including acceptance criteria, traceability links, and system models. Use requirement management tools to maintain clarity, consistency, and traceability.
Validation and verification: Collaborate with the Quality Assurance, Test, and development teams to validate that requirements are implemented correctly. Support test case development and define strategies for requirement traceability and verification coverage, ensuring that an implementation satisfies requirements.
Requirements management: Track and manage requirements throughout the development lifecycle. Maintain version control, document requirement changes, and assess the impact of updates to ensure consistent alignment with the product’s technical and functional intent.
Cross-functional alignment: Serve as the point of integration between customer intent and engineering execution. Facilitate communication across disciplines to reduce ambiguity, align expectations, and ensure clarity throughout design, development, and delivery. Participate in reviews and walkthroughs to confirm stakeholder alignment.
Systems modeling support: Collaborate with systems modelers to contribute to the development and maintenance of system models that capture system architecture, behavior, and interfaces. Use models to improve requirement clarity, traceability, and validation, and ensure alignment between requirements and the evolving system design.
$141,834 - $212,752 a year
#LI-DM2
#LD
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
