- - Experience designing AI-native or agentic workflows, including tool use, orchestration, retrieval, structured outputs, evaluation, and human-in-the-loop controls.
- Experience with MLOps, distributed training, simulation, synthetic data generation, experiment tracking, or model registries.
- Direct experience developing, training, tuning, evaluating, applying, or deploying VLMs, VLAs, world models, foundation models, or related modern AI models.
- Experience designing, deploying, or operating software and AI/ML platforms in classified, air-gapped, disconnected, or restricted-network environments.
- Experience with hybrid-cloud, multi-cloud, on-premises, or edge deployment architectures.
- Experience architecting autonomy, robotics, aerospace, unmanned systems, or other Physical AI applications.
- Experience applying MBSE methods and tools, including SysML and Cameo/MagicDraw.
- Experience delivering defense, aerospace, safety-relevant, or other high-assurance systems requiring rigorous configuration management, verification, and traceability.
Impact;
- You will establish the architectural foundation that enables Hivemind users to transform mission needs, data, AI models, and software into deployable autonomous capabilities—faster, repeatedly, and with confidence in how each capability was created, evaluated, and validated.
#LE
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.
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