You will research and develop state-of-the-art algorithms to drive high-performance flight for a blue-sky project. You will work on an agile team to tune and optimize control systems in both simulation and real-world environments.
You will own the hardware development lifecycle for advanced aerospace platforms, from concept through prototyping to field support. This involves hands-on design, analysis, and testing while collaborating with cross-functional teams to ensure system reliability and performance.
Lead the development of high-performance computing, sensing, communication, and power systems for fixed-wing aircraft products. Proactively identify opportunities for hardware development improvements to enhance project efficiency, quality, and aircraft reliability.
The recruiter will own the end-to-end university recruiting strategy, including campus branding, event planning, and the full-cycle hiring of interns, co-ops, and new graduates. They will also manage the intern-to-full-time conversion process and partner with business leaders to meet technical hiring demands.
The Senior Data & Analytics Engineer will build and maintain governed data models and semantic assets to enable domain self-service on the Databricks platform. This role involves partnering with business stakeholders to translate requirements into testable transformation logic while ensuring enterprise consistency.
The Sr. Staff Platform/Data Reliability Engineer will own the operational excellence, reliability, and observability of the Databricks platform. They will define CI/CD standards, compute policies, and enablement patterns to ensure a secure and scalable environment for enterprise data workloads.
The Principal Enterprise Architect will define and evolve the target-state enterprise systems and data architecture across major business domains. They will also lead efforts to rationalize technology stacks and establish governance for regulated, multi-environment operations.
Serve as a customer-facing technical expert for Hivemind autonomy solutions, supporting sales, demonstrations, and capture activities. Translate complex customer mission needs and operational constraints into technically feasible solution concepts.
The Manager, Global Real Estate will lead portfolio strategy, site selection, and transaction execution to align physical infrastructure with business growth. They will also establish lease administration processes, occupancy planning methods, and portfolio analytics to support global operational readiness.
The Manager, GTM Sales Enablement is responsible for designing and executing recurring enablement programs, including quarterly bootcamps and tenured seller plans. This role partners with GTM Strategy to translate business priorities into teachable curricula and measurable readiness outcomes.
You will deploy globally to support the integration and development of Hivemind autonomy software while working directly with customers on-site. Additionally, you will provide technical expertise, training, and support to ensure successful product implementation and assist in pre-sales activities.
The Senior Staff Data Engineer will design and build scalable ingestion pipelines and manage the enterprise lakehouse on Databricks. This role involves establishing data governance, quality controls, and CI/CD standards to support reliable analytics across business domains.
The Staff Analytics Engineer will own the Gold layer and enterprise semantic layer of the Databricks lakehouse to ensure trusted, business-ready models and KPIs. They will partner with stakeholders to translate business definitions into auditable transformation logic and establish modeling standards across the organization.
The Business Development Manager will own and execute the go-to-market strategy to drive pipeline creation and revenue growth across the Intel and Space Force sectors. They will manage the full sales cycle, from initial engagement through contract award, while coordinating with internal teams to deliver autonomous systems solutions.
Build and operate AI-enabled solutions, reusable components, and workflow automations to accelerate enterprise AI adoption. Develop production-quality agents and prompts while implementing engineering controls for data handling and security.
Translate the enterprise AI roadmap into scalable platform architecture and reusable technical patterns. Lead the design of shared AI services, governance controls, and observability frameworks to enable consistent AI adoption across the organization.
Operationalize and govern the workplace AI ecosystem, overseeing license management, security posture, and the lifecycle of AI tools. Lead the AI sustainment team to ensure systems are reliable, compliant, and continuously improved based on production usage.
Lead the end-to-end demand-to-value pipeline for Enterprise AI, identifying high-leverage opportunities and driving adoption across non-engineering functions. The role involves managing build-versus-buy decisions and proving measurable ROI for AI implementations to earn trust and budget.
Lead the aerostructures organization for the X-BAT program, overseeing the design, analysis, and integration of advanced aircraft structures. Drive the development of lightweight, survivable airframes while mentoring a high-performing engineering team to move from prototype to production.
Own and execute the USMC go-to-market strategy to drive pipeline creation and achieve revenue bookings targets. Translate operational challenges into funded procurement opportunities for autonomous systems and unmanned aircraft.
Own full-cycle recruiting for highly specialized software engineering roles in domains like Autonomy, Robotics, and Machine Learning. Act as a strategic partner to leadership to shape hiring strategies and build scalable talent pipelines.
Own full-cycle recruiting for specialized hardware engineering roles, focusing on electrical engineering, avionics, and power systems. Partner with leadership to define hiring strategies, influence workforce planning, and build scalable talent pipelines.
The Principal Engineer will design and implement unified navigation architectures and safety-critical state estimation algorithms for aerospace platforms. This role involves leading technical strategy, conducting performance analysis, and mentoring junior engineers to ensure robust navigation in GPS-denied environments.
