Technical Lead Manager, Evaluation & Benchmarking

Summary

Join Waabi's Evaluation & Benchmarking team and lead the development of algorithms and tools to assess the performance of autonomous driving systems. Collaborate with internal teams to define requirements, build a team roadmap, and contribute to technical discussions. Guide and mentor a team of engineers, advocate for software development patterns, and participate in regular one-on-one meetings. This role requires 6+ years of industry experience, including 2+ years managing engineering teams, and a relevant MS/PhD or Bachelor's degree. Passion for self-driving technology and problem-solving is essential. Waabi offers competitive compensation, equity awards, health and wellness benefits, unlimited vacation, flexible hours, and various other perks.

Requirements

• Minimum of 6+ years of industry experience including at least 2+ years managing high performing engineering teams
• MS/PhD or Bachelors degree in Computer Science, Robotics and/or similar technical field(s) of study
• Experience working with internal cross-functional partners/stakeholders Experience with system design/architecture and algorithms
• Open-minded and collaborative team player with willingness to help others
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions

Responsibilities

• Lead the Evaluation & Benchmarking team responsible for developing the algorithms and tools necessary to thoroughly assess the autonomy system's performance throughout development
• Work closely with internal users to understand their requirements and workflows and build a long-term roadmap for the team aligned with the company's milestones
• Lead technical projects; contributing as an IC while also managing a team of engineers
• Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers
• Conduct regular one-on-one meetings to offer guidance and constructive feedback to direct reports
• Advocate and set patterns for software development

Preferred Qualifications

• Experience in autonomous systems, robotics, and/or machine learning
• Experience with large scale databases and analytics
• Experience with data pipelines & workflow automation
• Experience with evaluation & benchmarking of complex systems and/or large ML models

Benefits

• Competitive compensation and equity awards
• Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)
• Unlimited Vacation
• Flexible hours and Work from Home support
• Daily drinks, snacks and catered meals (when in office)
• Regularly scheduled team building activities and social events both on-site, off-site & virtually