Design, build, and maintain internal web applications and tools to support enterprise operations and engineering workflows. Develop and optimize CI/CD pipelines and infrastructure automation while collaborating with cross-functional teams to streamline software delivery.
Develop and deploy state-of-the-art state estimation and navigation algorithms for autonomous systems in complex, GPS-denied environments. Design production-grade C++ software and maintain rigorous testing pipelines to ensure system robustness and safety.
You will develop and integrate deep learning models for autonomous systems to enable navigation and localization in GPS-denied environments. This involves managing the full model development pipeline, from data curation and training to deployment and performance optimization.
The Sr. Manager, Enterprise Data leads the delivery team in executing enterprise data strategy and enabling business domains on the governed Databricks platform. They are responsible for establishing delivery rhythms, managing capacity, and ensuring that data products meet high standards for quality, security, and production readiness.
The Engineering Technician will perform detailed inspections of prototype hardware and verify configuration against engineering requirements. They will also document nonconformances and collaborate with engineering teams to resolve quality issues and improve processes.
The Staff Engineer will manage the technical operations, configuration, and observability of workplace AI platforms while ensuring secure integration and access management. Additionally, the role involves translating production technical signals into governance, risk, and compliance narratives for stakeholders.
Establish and mature a company-wide secure SDLC and application security program, integrating practical security requirements, testing tools, vulnerability management, and secure supply-chain controls into engineering workflows. Partner with development, platform, product, and leadership teams on threat modeling, remediation, developer enablement, incident response, and program metrics.
The Senior Supplier Development Engineer will enhance supplier performance by resolving quality, delivery, and scaling challenges. They will also support the onboarding of suppliers for new designs to ensure the successful delivery of autonomous systems at scale.
The Internal Communications Manager will develop and execute communication plans for enterprise priorities, organizational change, and employee programs. This role involves partnering with senior leaders to align messaging and managing communication workflows across multiple channels.
Design and produce high-quality proposal documents, presentations, and visual assets by translating complex technical information into engaging content. Collaborate with business development and technical teams to maintain brand standards and manage production schedules for bid materials.
The District Manager will lead market development, revenue growth, and customer adoption of Shield AI's autonomy software and unmanned systems in the LATAM region. They are responsible for building executive relationships, managing the full opportunity lifecycle, and executing the regional go-to-market strategy.
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.
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.
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 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.
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 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.
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.
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.
