Join an innovative AgTech startup dedicated to revolutionizing the agricultural sector through cutting-edge robotics. The company is focused on addressing the field labor challenges in agriculture and is seeking a visionary Director of Robotic Software to partner with the CEO in shaping the future of the organization.
Why This is a Unique Opportunity:
This is a once-in-a-lifetime chance to be at the forefront of technology in agriculture, working with a well-funded, fast-paced team committed to real-world testing and solutions. The company's partnerships with leading growers in the Monterey area set it apart as it strives to pioneer efficient methods for feeding the world.
Key Responsibilities:
AI Strategy and Vision: Collaborate with the CEO to develop and execute a comprehensive AI roadmap that aligns with business objectives and growth plans.
Product Development: Lead the design and implementation of AI solutions for agricultural robotics, overseeing the entire product lifecycle from conceptualization to deployment.
Technical Leadership: Build and manage a high-performing AI team, fostering a culture of innovation and collaboration.
Collaboration and Communication: Work closely with operations, software, and hardware teams to ensure technology initiatives meet business needs.
Risk Management: Identify technological risks and ensure compliance with industry standards related to AI and machine learning.
Qualifications:
Education: Bachelor's degree in Computer Science, Engineering, Robotics, or a related field (Master's or Ph.D. preferred).
Experience: Minimum of 10 years in AI and machine learning roles, preferably within the agricultural or robotics sectors. Proven track record in developing complex AI systems.
Skills: Strong leadership, project management, problem-solving, and communication abilities.
Preferred Qualifications:
Experience with agricultural operations and field conditions.
Familiarity with regulatory requirements in agriculture.
Previous experience in a startup or high-growth environment.
Experience with computer vision and machine learning frameworks.