Supports technical recruiting for specialized software engineering and autonomy roles. Responsibilities include managing candidate pipelines, conducting recruiter screens, sourcing and engaging technical talent, coordinating with hiring managers, maintaining ATS accuracy and recruiting data, delivering a strong candidate experience, and improving recruiting processes. The role partners with senior recruiters and sourcers while developing expertise in software engineering talent markets and using recruiting tools, AI, and automation.
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, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. 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.
We are looking for a motivated, execution-focused Associate Technical Recruiter to help support hiring across some of the company’s most critical software engineering organizations. This person will partner closely with senior recruiters and sourcers to help build, manage, and move pipelines for highly specialized technical roles across areas such as Autonomy, Robotics, Embedded Software, Perception, Planning, Controls, Infrastructure, and related engineering domains.
This role is designed for someone who has built a strong foundation in recruiting and wants to deepen their technical recruiting experience. You’ll work alongside experienced recruiters, support complex searches, engage with candidates, and help keep hiring processes moving quickly and efficiently.
The ideal candidate is organized, curious, responsive, and comfortable operating in a fast-paced environment with a high level of urgency.
What You’ll Do:
- Partner closely with senior recruiters to support hiring for Software Engineering, Autonomy, Robotics, Embedded Software, Infrastructure, Machine Learning, and related technical roles
- Help manage candidate pipelines from initial outreach through interview stages, ensuring candidates continue moving through the process
- Conduct recruiter screens and help assess candidate experience, motivations, and alignment with role requirements
- Partner with sourcers and senior recruiters to build strong pipelines for difficult-to-find technical talent
- Support proactive sourcing and candidate engagement across aerospace, defense, robotics, autonomous systems, automotive, AI/ML, and adjacent industries
- Coordinate closely with hiring managers and recruiting partners to maintain strong communication and quickly resolve pipeline blockers
- Maintain strong operational rigor across pipeline management, ATS accuracy, candidate follow-up, and recruiting data
- Deliver a responsive, high-quality candidate experience throughout the recruiting process
- Develop a strong understanding of software engineering roles, relevant talent markets, and the competitive landscape
- Use recruiting tools, AI, and automation to improve efficiency while maintaining a personalized approach with candidates
- Support recruiting process improvements, documentation, and other team priorities as needed
What We’re Looking For:
- 2-6 years of recruiting experience, ideally with exposure to technical or engineering roles
- Experience supporting software engineering, technical, or other complex searches
- Experience managing candidate pipelines and working across multiple open roles at once
- Strong sourcing, candidate engagement, or recruiter screening experience
- Interest in developing deeper expertise in software engineering and highly technical talent markets
- Strong communication and relationship-building skills with candidates, recruiters, and hiring managers
- Highly organized with strong follow-through and attention to detail
- Ability to prioritize competing needs and maintain urgency in a fast-paced environment
- Experience using ATS systems, sourcing platforms, and other recruiting tools
- Comfortable receiving feedback, asking questions, and learning from more senior recruiting partners
- Team-oriented mindset with a willingness to jump in wherever needed to help drive hiring outcomes
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
Safely operate unmanned aircraft during production acceptance, validation, troubleshooting, delivery, and customer acceptance flights. Responsibilities include mission planning, preflight preparation, aircraft configuration, flight execution, discrepancy documentation, real-time troubleshooting, risk assessment, and coordination with engineering, production, maintenance, and flight-test teams. The operator maintains aircraft qualifications, supports test procedures and corrective actions, and may travel to domestic and international test events or deployments.
Top Skills:
Commercial Pilot LicenseFaa Class Ii Medical CertificateFaa Instrument RatingFaa Part 107Faa Private Pilot LicenseGround-Control SystemsUnmanned Aircraft Systems
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Build production AI systems that improve technical learning for Hivemind engineers and customers. Develop an AI training coach, LLM-powered tooling, workshops, curricula, labs, assessments, and content automation. Integrate generative AI, retrieval, agents, and evaluation capabilities while maintaining strong software engineering, testing, observability, security, and operational standards. Collaborate with autonomy experts, engineers, applications engineering, and customer success to accelerate technical proficiency and product adoption.
Top Skills:
Ai AgentsApi DesignAutomated TestingC++Enterprise SearchGenerative Ai ApisLarge Language Models (Llms)Model GatewaysObservabilityPrompt EngineeringPythonRetrieval-Augmented Generation (Rag)Vector Databases
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Leads Shield AI’s YouTube strategy, editorial calendar, video production, editing, publishing, packaging, and channel growth. Produces explainers, interviews, product stories, flight-test content, event coverage, and short-form videos. Manages projects from concept through final delivery while partnering with technical experts, executives, and communications teams. Analyzes audience performance metrics and builds scalable production workflows that support brand, business, accuracy, and security goals.
Top Skills:
Adobe After EffectsAdobe AuditionAdobe PhotoshopAdobe Premiere ProDavinci ResolveYoutubeYoutube Analytics
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
