Role Description You'll be a core member of Airship's Internal Systems team, supporting and evolving the infrastructure that powers our internal operations. This role blends systems administration with engineering, giving you ownership across cloud and on-prem environments, enterprise applications, automation, and security compliance. You'll work closely with IT Support, Security, and Engineering to keep our internal systems reliable, scalable, and aligned with business goals. The work is both hands-on and strategic: you'll contribute to the performance, security, and maturity of our internal technology ecosystem. You're also expected to leverage AI tools to streamline automation, scripting, and troubleshooting as part of your everyday workflow. What You'll Do - Work cross-functionally with IT Support, Security, and Engineering to integrate and optimize internal systems - Mentor and guide the IT team on complex infrastructure and systems issues - Design and configure scalable, secure infrastructure across on-premises and cloud-based environments - Administer and maintain enterprise systems, servers, and user environments, applying regular updates, patches, and maintenance to ensure reliability and uptime - Monitor system health and performance, troubleshooting and resolving technical issues as they arise - Manage identity and access control systems, including SSO and MFA configurations, and ensure systems and endpoints comply with security policies - Develop and maintain scripts and tools to automate workflows, monitoring, and routine operations, connecting enterprise SaaS applications with each other and internal tools via APIs - Support infrastructure automation to improve repeatability, efficiency, and scale, including CI/CD practices for internal tools where applicable - Implement and test backup and disaster recovery strategies for critical systems, ensuring recovery plans are documented and regularly validated - Document system configurations, SOPs, upgrade paths, and troubleshooting procedures, and identify opportunities for process optimization - Take part in the team’s on-call schedule, providing incident response support for our IT and Security departments as required Qualifications - 2+ years of experience in a Systems Engineering role, or 3-4 years in IT Support with progression into more advanced infrastructure and/or device management responsibilities - Experience managing Mac, Windows, and Linux environments - Strong problem-solving and troubleshooting abilities - Clear communication skills and a collaborative approach to working across teams - Familiarity with enterprise security practices and endpoint protection - Scripting experience (e.g., Python, PowerShell) and background of building API integrations for automation projects - Understanding of disaster recovery principles and business continuity planning - At least intermediate proficiency administering Jamf, Workspace ONE, Google Workspace, Okta, Slack, and Atlassian (or equivalent tools) - Experience experimenting with AI tools in your personal or professional life - or an eagerness to learn! Requirements - Experience using AI-powered tools to accelerate scripting, troubleshooting, or automation workflows - Vendor management experience, including working with third-party providers to ensure solutions meet internal standards Work Location & Travel Requirements Airship’s ‘Digital First’ approach to work means that for the majority of our roles, work can be performed remotely, either some or most of the time. Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones. This position is fully remote and may require up to 10% travel based on business needs or as requested by your manager. Compensation Starting Pay Range: $75,000-$90,000 USD per year. This is a good faith estimate of the base compensation we reasonably expect to pay for this position upon hire. Actual starting pay may vary based on factors such as relevant skills, work experience, market demands, and location. All offers include stock options so employees have the opportunity to benefit from Airship’s success. Benefits - Competitive medical, dental, and vision insurance options for you and your dependents - Flexible time off, company paid holidays, paid parental leave, and paid volunteer time off - Support for your overall wellbeing with mental health and wellness resources - Employer-subsidized life insurance as well as short-term and long-term disability - A digital-first work environment and a monthly stipend to support remote work - Mentorship and growth opportunities to build skills and accelerate professional development - And more! Hiring Commitment Airship is committed to fostering a diverse work environment and providing equal employment opportunities to all applicants and employees. We welcome your application and our hiring and employment decisions are made irrespective of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

• Join a dynamic Systems Engineering team dedicated to modernizing Air Traffic Control RADAR systems in the National Airspace System (NAS) and internationally. • Drive innovation by developing creative solutions to customer challenges and crafting system and product-level requirements. • Play a key role in verifying these requirements by developing rigorous sell-off criteria, ensuring the highest standards of performance and safety. • Have a direct impact on modernizing and deploying Air Traffic Control RADAR systems across the US and internationally. • Develop solutions to modernize and integrate multiplatform air traffic systems that track commercial, military, and unmanned aircraft to meet the demands of the future. • Become a Subject Matter Expert (SME) and valued consultant to our Systems Engineering team.

Role Description The Power Systems and Controls Engineer will serve as a key technical leader in power system modeling, simulation, and controls for renewable generation, energy storage, and microgrid applications across transmission, distribution, and behind-the-meter systems. This role requires deep expertise in dynamic modeling, EMT simulation, plant and microgrid controls, and hardware-in-the-loop validation for utility-scale and hybrid energy systems. - Lead the power system modeling and simulation function for the Operational Technologies team. - Build, manage, and maintain plant models in PSS®E, PSLF, PSCAD, RTDS, RT-LAB, and similar tools for PV, BESS, wind, and hybrid plants, including plant control systems. - Develop and validate control models for PPC, EMS, BESS controls, inverter-based resources, and microgrid controllers for both grid-connected and islanded operation. - Support the design and simulation of microgrid control strategies, including dispatch logic, mode transitions, load sharing, spinning reserve management, black start, and coordination of solar, storage, generator, and utility interconnection assets. - Perform dynamic, transient, EMT, and stability studies for renewable plants, storage systems, and microgrids. - Lead and represent the Operational Technologies group on all matters related to power systems, controls, and microgrid performance. - Support leadership in responding to DOE/SETO FOAs and other power systems research initiatives and proposals. - Support hardware-in-the-loop and controller-in-the-loop testing for protection, plant control, EMS, and microgrid control systems. - Develop technical documentation, testing procedures, validation methods, and study reports for internal and external stakeholders. - Lead continuous improvement and lessons-learned programs related to modeling, controls, and system performance. - Perform other duties as required by management. Qualifications - Master’s degree with 3–5 years of relevant experience, or PhD in Electrical Engineering. Candidates with strong expertise in power systems modeling, inverter-based resource controls, and microgrid controls are strongly preferred. - Strong understanding of renewable generation, energy storage systems, and hybrid/microgrid system architectures. - Experience with modeling, simulation, and testing of renewable energy resources and control systems. - Experience with microgrid controller design, validation, or operation, including islanding, resynchronization, dispatch optimization, and coordinated control of DERs. - Hardware-in-the-loop testing and validation of protection and control systems using real-time digital simulators. - Interconnection impact studies for renewable power plants and hybrid systems. - Power quality studies for utilities and wind/solar/storage plants, including voltage/current unbalance, flicker, voltage sag, and harmonics. - Fault analysis and transient overvoltage studies, including capacitor and reactor switching, faults and clearing, line energization, and lightning. - Black start studies, including transformer energization and synchronization. - Experience with transformer saturation and inrush, load flow and dynamic studies, short-circuit analysis, and subsynchronous control interaction (SSCI). - Ability to communicate effectively with team members, customers, research partners, and business stakeholders. - Demonstrated ability to lead technical initiatives and work cross-functionally in a fast-paced environment. - Must have authorization to work in the United States. - Travel up to 10%. Benefits - Generous time off and holiday policy - Remote flexibility - Flexible time off - Comprehensive benefits package - Career progression - 401k match - Stock options - Home office set up allowance - And much more!

• Design and build large-scale offline ML experimentation platforms that enable reproducible research, model development, evaluation, and promotion workflows. • Develop production-grade training orchestration frameworks supporting distributed training, hyperparameter optimization, model evaluation, and automated retraining. • Build infrastructure for experiment tracking, metadata management, lineage, artifact versioning, model registries, and reproducibility. • Partner with ML engineers and researchers to improve experimentation velocity and operational efficiency. • Build automated workflows for model promotion, rollback, compliance validation, and continuous evaluation. • Design and build an agentic AI execution platform supporting autonomous and human-in-the-loop workflows, including multi-agent orchestration, memory/context systems, and scalable workflow infrastructure.