In this role, you will:
- Lead, grow, and scale the Software/Autonomy team, fostering a culture of innovation and excellence.
- Drive the development and scalability of Chef’s autonomy stack to ensure reliable performance around key metrics like uptime and utilization across hundreds of deployed units.
- Collaborate cross-functionally with hardware, product, and operations teams to align software initiatives with company goals and deliver results.
- Set clear and achievable project timelines and ensure consistent execution and on-time delivery.
- Mentor, coach, and develop engineering talent, creating pathways for team growth and individual success.
- Ensure Chef robots achieve and maintain high performance and reliability in the field, addressing challenges proactively.
- Define and execute the technical vision and roadmap for Chef’s software and autonomy stack, aligning it with broader business objectives.
- Serve as a key member of the leadership team, contributing to the company’s strategy, culture, and overall success.
- Recruit, onboard, and retain top-tier engineering talent to build a world-class software team.
What You Bring:
- Degree in Computer Science, Mechanical Engineering, Electrical Engineering, Physics, or equivalent industry experience that demonstrates comparable expertise.
- Over 10 years of hands-on production engineering experience, including roles as a technical lead, manager, or director with responsibility for software on hardware-based products.
- Proven experience managing managers and overseeing multi-tiered engineering teams.
- Demonstrated success in leading and scaling engineering teams at various levels.A track record of successfully launching and scaling at least two products to market.
- Expertise in developing and deploying production-level software systems.
- Experience scaling software deployed on hardware devices is preferred.
- In-depth understanding of key domains in robotics, including but not limited to:
- Mechanical Engineering
- Electrical Engineering
- Perception and Computer Vision
- Machine Learning
- Robotic Motion Planning and Control
- Cloud Infrastructure

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