Entry-level electrical engineer owning avionics design for X-BAT through concept, design, verification, integration, flight test, and manufacturing. Work includes circuit design (analog, digital, power conversion, high-speed), FPGA/MCU work, EMI/EMC considerations, environmental qualification, debugging, and resolving reliability challenges for harsh flight environments.
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. We are building the best team in aviation to drive rapid development and deployment of X-BAT.
We are looking for an entry level Electrical Engineer that is ready to help us bring X-BAT to first flight. You will own a project that ties directly to our critical path avionics development while receiving directly mentorship from Senior Electrical Engineers and other cross-functional leads. Our team looks for engineers that value first principles engineering and extreme ownership.
What you'll do:
- Own a design that directly impacts the X-BAT system and major flight test milestones. A senior engineer is assigned as a direct mentor to provide technical review and professional feedback.
- Full lifecycle ownership: concept, design, verification, integration, flight test, and manufacturing
- Design efforts include:
- Circuit design for our embedded system. You will design with analog, digital, power conversion, high-speed, FPGA, MCU, EMI/EMC, etc.
- System integration and verification
- Environmental test, qualification, and automation
- Debug, root cause, and drive resolution
- Systems must be designed for high-reliability, radiation, aggressive temperature changes, and high magnitude vibration
Required qualifications:
- Have a degree in Electrical Engineering or equivalent
- Strong technical fundamentals
- Have been part of an engineering team/club
- Experience with electrical design software, Altium, KiCAD, etc.
- Ability to obtain a S//SAR level security clearance desired.
#LI-JM2
#LA
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.
###
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead strategic technical sourcing for aerospace, autonomy, AI, and hardware engineering roles. Build market maps, talent intelligence, and long-term pipelines using advanced sourcing platforms and AI-powered workflows. Coach recruiters and partners, measure sourcing effectiveness, and scale repeatable sourcing systems to accelerate hiring for cleared and niche engineering talent.
Top Skills:
AshbyBoolean SearchChatgptClaude CodeClearancejobsCRMCursorGitGithub CopilotGoogle GeminiHireezLinkedin RecruiterOpenai CodexSeekoutTalent Intelligence Platforms
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Administer Atlassian Cloud (Jira, JSM, Confluence); design workflows, automations, and governance; develop REST API/webhook integrations; manage Atlassian Access (SSO/SCIM); build advanced JQL dashboards and reports; support cloud migrations, audits, and enterprise system integrations.
Top Skills:
Atlassian AccessAtlassian CloudAtlassian Rest ApiAutomation FrameworksAzure DevopsCi/CdConfluenceDevops ToolchainsEntra IdGroovyJira Service ManagementJira SoftwareJqlMarketplace AppsPower BIPythonScimScriptrunnerSsoTableauWebhooks
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, install, and integrate aircraft mechanical systems and components. Create 3D CAD models, installation layouts, and detailed drawings. Manage PLM/BOM data, apply GD&T and tolerance stack-ups, support prototypes and production, perform root cause analysis, and collaborate across disciplines to ensure manufacturable, maintainable aircraft hardware.
Top Skills:
3DexperienceAsme Y14.5BomCatiaCreoEwisFeaGd&TNxPlmSolidworksTeamcenterWindchill
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

