Engineering Manager, Hardware Integration
Apptronik - Austin, TX
Posted Oct 15, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- 401(k) match
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Schedule
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- Weekend work
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Application
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About this role
Engineering Manager, Hardware Integration Austin, TX Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. The Role We are seeking a highly skilled and experienced Engineering Manager to lead Hardware Integration at Apptronik. You will be at the forefront of bringing our humanoid robot platform to life, ensuring every physical subsystem-from high-performance actuators to complex sensor suites-is meticulously integrated into a cohesive, functional system. This is a critical leadership role for an engineer who excels at bridging the gap between individual component design and a fully realized, top-level robotic platform. Responsibilities - Team Leadership: Build, Lead and mentor a specialized team of engineers and technicians focused on the physical integration and assembly of complex humanoid robotic systems. - Prototyping & Concept Derisking: Lead rapid prototyping initiatives to validate novel hardware concepts before committing to full-scale integration. Design and execute targeted derisking experiments for critical electromechanical subsystems to identify and mitigate physical interface, thermal, or kinematic risks early
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