Sr. Manager, Autonomous Behavior

Company: May Mobility
Location: Ann Arbor
Posted on: November 20, 2023

Job Description:

Job Summary
May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. We are looking for an Autonomous Behavior Lead Engineer / Manager to provide technical, organizational and administrative leadership in core aspects of the Autonomy Engineering team. The ideal candidate will demonstrate passion and ownership of autonomy executing on real vehicles and delighting customers.
This role will report to the Director of Autonomous Behavior and will be responsible for contributing, leading and managing efforts to maintain and improve the capabilities and performance of behavior planning. As part of this role, the Autonomous Behavior Lead Engineer / Manager will assist in cross-functional efforts to triage issues from the field, lead small teams in solving issues and developing long term improvements, as well as balancing resources between shorter and longer term issues.
Your Opportunity to Drive Success:

• 
  
• Be a technical thought leader to champion May Mobility's mission, vision, values and company priorities to develop and execute autonomy strategy with fellow engineering leaders
  
• Lead a team of Autonomous Behavior engineers, providing mentorship, regular feedback, and promoting professional growth opportunities; Responsible for performance tracking and team hiring and retention goals
  
• Lead one or more cross-functional problem solving teams to understand and solve issues in the field.
  
• Communicate clear and concise issues, analysis results, solutions, and timelines to other managers to enable rapid and effective responses to ongoing field issues.
  
• Responsible for operational and technical team successes and outcomes, including - meeting benchmarks, prioritizing effective time and resource allocation across all team functions, and engaging in regular status and metrics reporting; Collaborate closely with project managers, people managers, and executives to achieve company goals
  
• Plan, lead and oversee implementation of solutions for known autonomy software stack challenges
  
• Support testing and validation of software deployed to both existing and new operation sites.
  
• Support ride-feel tuning for new site deployments
  
• Track and approve hotfixes for deployed autonomy software
  
• Provide input into release planning, including feature recommendations and risk assessments based on prior field experiences
  
• Provide high-level analysis of autonomy performance to feed long-term development strategy
  
• Escalate critical issues and opportunities within the autonomy team to engineering leadership, making clear recommendations to maximize the effectiveness of the team with respect to company priorities
  
  Qualifications:
  Required Qualifications
  
  • 
    
  • BS in Computer Science, Mechanical Engineering, Electrical Engineering, or related engineering discipline
    
  • 5 years experience developing and/or managing technical development within the self-driving vehicle technology field including perception, behavior, planning, and controls or equivalent technical field
    
  • Demonstrated success in leading teams and delegating responsibilities
    
  • Experience with software development in a Linux environment
    
  • Familiarity with standard development tools such as git, valgrind, and gdb
    
  • Deep familiarity with the state of the autonomous vehicle industry
    
  • High degree of comfort in balancing multiple priorities
    
  • Excellent written and verbal communication skills
    
  • Collaborative leadership approach
    
  • Organization skills including project management
    
  • Willingness and ability to travel approximately 20% of the time
    
    Desired Qualifications
    
    • 
      
    • MS or PhD in Computer Science, Mechanical Engineering, Electrical Engineering, or related engineering discipline
      
    • Previous hands-on system architecture experience building or leading the development for multiple tech stacks
      
    • Demonstrated successful people management experience, including mentoring and promoting professional growth of direct reports
      
    • Previous experience growing a team, crafting hiring plans, designing and conducting interviews, reviewing candidates, and making hiring decisions
      
    • Previous startup experience
      
      Benefits and Perks
      
      • 
        
      • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate!
        
      • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
        
      • Rich retirement benefits, including an immediately vested employer safe harbor match.
        
      • Generous paid parental leave with immediate eligibility as well as a phased return to work.
        
      • Flexible vacation policy in addition to 15 paid company holidays.
        
      • Competitive salary and equity program as well as a bonus program.
        
      • Daily catered lunches and snacks for onsite employees
        
      • Employee Work Perk Stipends for hybrid and remote employees
        
      • Total Wellness Program providing numerous resources for overall wellbeing
        
        The expected base salary range for this full-time position is $176,000 - $247,500 per year. May's pay ranges are determined by the role, level, and location. Successful candidate's starting base pay will be determined based on factors including but not limited to- job-related skills, experience, qualifications, relevant education or training, and market conditions. A successful candidate will also be eligible for an annual discretionary bonus, equity compensation, and generous company benefits. These ranges are subject to change.
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Keywords: May Mobility, Ann Arbor , Sr. Manager, Autonomous Behavior, Executive , Ann Arbor, Michigan