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The Talent team is responsible for building the organization that will build the future of humanoid robotics. We partner closely with leaders across Engineering, Manufacturing, Supply Chain, Operations, and Corporate functions to identify, attract, and hire exceptional talent capable of solving some of the world’s most difficult technical and operational challenges. Talent plays a critical role in 1X’s ability to scale. Every hire shapes our culture, raises our technical bar, and accelerates our mission. The team operates with urgency, high standards, and deep partnership to ensure the right people are in the right roles at the right time.
Job Responsibility
Deliver high-quality hires across software engineering disciplines while maintaining exceptional candidate and hiring manager experiences
Build and maintain strong talent pipelines across full-stack, embedded, firmware, systems, and infrastructure engineering functions
Establish trusted partnerships with engineering leaders and provide data-driven guidance throughout the hiring process
Improve recruiting effectiveness through sourcing innovation, interview calibration, process improvements, and technical talent market intelligence
Help ensure hiring decisions consistently align with 1X’s technical standards, organizational needs, and long-term growth objectives
Requirements
4+ years of experience recruiting software engineering talent in fast-paced, high-growth, or technically demanding environments
Demonstrated success hiring across software engineering disciplines, including full-stack, embedded systems, firmware, infrastructure, or related technical functions
Strong understanding of software engineering fundamentals and technical talent markets
Experience partnering directly with engineering leaders and supporting technical interview processes
Ability to independently manage full-cycle recruiting activities from sourcing through offer acceptance
Nice to have
Experience recruiting within robotics, AI, autonomous systems, machine learning, semiconductor, infrastructure software, or other deep-tech environments
Experience supporting both application-level and systems-level engineering organizations
Familiarity with distributed systems, operating systems, embedded software, firmware development, or cloud infrastructure technologies