Jobs at Shield

Build and scale the global treasury function, overseeing cash positioning, liquidity planning, banking relationships, cash forecasting, working capital strategies, FX exposure, hedging support, debt covenant compliance, intercompany funding, and treasury governance. Partner with FP&A, Accounting, Legal, Tax, and other teams to support financial decision-making and global growth.

Build and operate a frontend-focused engineering platform for AI autonomy workflows. Responsibilities include designing composable UI architecture, typed and versioned APIs, application lifecycle workflows, AI-agent integrations, backend services, and consistent local and production environments. The role partners with simulation, autonomy, and ML experts while collaborating across infrastructure, security, product, and design. Engineers own production applications through design, implementation, deployment, and support.

Integrate, validate, and deploy Shield AI’s autonomy software across simulations, hardware-in-the-loop environments, and robotic flight platforms. Configure sensors, interfaces, middleware, and platform adapters; develop integration frameworks, deployment scripts, and testing tools; troubleshoot system behavior using logs, telemetry, and rosbag data; optimize CI/CD workflows; and verify system requirements and interface compliance across autonomous systems.

Lead automated testing and verification strategy for autonomy software, machine-learning systems, distributed services, simulations, and integrated hardware. Build scalable Python test frameworks, ML validation pipelines, CI/CD and continuous-training workflows, observability tools, test harnesses, and scenario-based validation across software-in-the-loop and hardware-in-the-loop environments. Establish quality standards, release thresholds, traceability, and failure-triage processes while collaborating across software, autonomy, data, simulation, and systems engineering teams.

Integrate, deploy, and validate autonomy software across simulations, hardware-in-the-loop environments, and flight platforms. Configure sensors, interfaces, middleware, and platform adapters; develop integration tooling, deployment scripts, and CI/CD workflows; diagnose defects using logs, telemetry, and rosbag data; validate system requirements and interface contracts; and collaborate with engineering, product, DevOps, and customers to ensure reliable autonomous systems.

Leads a team responsible for integrating, validating, and scaling the Hivemind autonomy platform across simulation, hardware-in-the-loop, and flight environments. The role combines people management with hands-on system integration, debugging, architecture, deployment workflow development, configuration management, and customer-focused platform improvements. Responsibilities include reviewing telemetry and rosbag data, investigating cross-functional defects, establishing corrective actions, and ensuring integrated autonomy capabilities meet product requirements.

Researches complex transactions under U.S. GAAP, prepares technical accounting memos, financial statements, disclosures, and supporting schedules, and coordinates audit readiness. The role strengthens SOX and IPO controls, updates accounting policies, improves reporting processes and systems, and partners with Legal, Treasury, Tax, FP&A, Corporate Development, and Program Finance.

Lead full-cycle recruiting for complex and senior-level G&A roles across Finance, Legal, People, IT, Facilities, and Enterprise Operations. Advise senior leaders, develop talent strategies, manage sourcing and candidate engagement, negotiate offers, use recruiting data and AI to improve workflows, maintain compliance and ATS accuracy, and mentor recruiters on G&A hiring and AI-enabled practices.

Leads a distributed infrastructure team and owns strategy, architecture, operations, modernization, and lifecycle management across hybrid enterprise, data center, lab, manufacturing, and engineering environments. Oversees compute, storage, virtualization, servers, backup, disaster recovery, PLM infrastructure, vendors, budgets, incidents, security, compliance, and infrastructure readiness. Partners with cloud, network, cybersecurity, facilities, and application teams while developing technical talent and ensuring reliable, scalable services.

Design, train, adapt, and evaluate reasoning and cognition models for unmanned autonomous systems. Develop multimodal, embodied, and traditional AI/ML capabilities that operate under edge constraints, incomplete information, intermittent communications, and large multi-agent deployments. Establish reproducible training workflows, benchmarks, simulation and real-world evaluations, and model feedback loops. Partner with perception, MLOps, simulation, autonomy, hardware, and inference teams to deliver reliable models and communicate technical tradeoffs and performance evidence.

Leads a team developing reasoning and cognition models for unmanned autonomous systems across multiple domains. Defines model roadmaps, training methods, datasets, evaluations, and deployment strategies for edge environments. Oversees research, model adaptation, simulation and real-world testing, multi-agent coordination, and performance optimization. Recruits and develops AI/ML engineers while communicating technical tradeoffs and delivering production-ready models to partner teams.

Designs, deploys, and supports enterprise infrastructure across data centers, offices, engineering environments, and hybrid cloud platforms. Responsibilities include Active Directory, compute, virtualization, storage, Windows and Linux systems, backup and disaster recovery, monitoring, automation, Kubernetes support, and infrastructure resiliency. The role leads complex technical initiatives, troubleshoots critical incidents, develops infrastructure standards, partners with cybersecurity and networking teams, and mentors engineers. Regular on-site presence in the San Mateo Bay Area and occasional travel are required.

Build and support full-stack applications for developing, training, simulating, and evaluating autonomous systems. Develop React and TypeScript interfaces, backend services, APIs, data models, and Python workflows. Deploy and troubleshoot containerized services across local, cloud, on-premises, and air-gapped Kubernetes environments. Collaborate with users, product, design, and engineering teams to translate complex workflows into reliable, extensible applications and reusable platform capabilities.

Build and support full-stack Forge platform features across React and TypeScript interfaces, backend services, APIs, databases, and Python workflows. Design reusable APIs and data models, deploy services across local and Kubernetes environments, and improve reliability through testing, observability, and troubleshooting. Partner with users, product, design, and engineering teams to translate complex autonomy development, simulation, training, and evaluation workflows into dependable applications.

Build and support production full-stack applications with a frontend focus using TypeScript and React. Design intuitive interfaces for simulation, synthetic data, testing, evaluation, and autonomy workflows. Integrate APIs and backend services, improve performance and accessibility, test complete user workflows, and create reusable components and extension points. Collaborate closely with developers, product, design, and domain experts to deliver reliable applications across local, cluster, edge, and air-gapped environments.

Leads internal communications for enterprise priorities, organizational change, M&A integrations, organizational updates, and People programs. Develops employee messaging, FAQs, presentations, manager toolkits, intranet content, and leadership communications. Manages communication plans, timelines, stakeholders, approvals, and multiple workstreams while anticipating employee concerns, synthesizing feedback, and advising leaders on communication risks and solutions.

Develops and transfers AI research into real-world autonomous aircraft and vehicle systems. Evaluates multimodal perception models, builds prototypes, combines learned and classical computer vision methods, and optimizes capabilities for edge deployment. The role involves Python and C++ software, sensor fusion, model evaluation, robotics, and collaboration with researchers and autonomy engineers to deliver tested, documented production capabilities.

Provides technical leadership for automated testing and verification across autonomy software, machine learning systems, distributed services, simulation environments, hardware-in-the-loop platforms, and GPU infrastructure. Owns test architecture, MLOps quality, CI/CD and continuous training workflows, ML validation, observability, failure triage, scenario-based testing, and scalable Python automation. Collaborates across software, autonomy, data, simulation, and systems engineering teams while governing AI-assisted testing workflows.

Leads the product design vision for Shield AI’s Hivemind autonomy platform. Designs AI-native workflows for autonomy development, simulation, testing, deployment, and operations; conducts user research; partners with Product and Engineering; establishes design systems; and manages and mentors a high-performing design team.

Owns Shield AI’s website user experience and content journeys across key audience personas. Maintains and publishes WordPress content, builds digital experiences, improves navigation and conversion paths, and partners with agencies, designers, product marketers, communications, recruiting, and business stakeholders. Monitors web performance and user behavior while ensuring accessibility, SEO, brand, quality, and performance standards. Uses AI-enabled workflows and manages multiple web updates, launches, and stakeholder requests.