This is a unique opportunity to sit at the crossroads of cutting-edge autonomous driving technology, transformative mobility, and the products that enable change in the transportation landscape of cities today.
This position reports to the Senior Vice President of Autonomy and is responsible for providing world class leadership to our autonomy engineering managers and engineers, in order to propel their professional success as they develop industry-leading technology advancements.
Essential Responsibilities
Be a technical thought leader to champion May Mobility’s mission, vision, values and company priorities to develop and execute autonomy strategy with fellow executives and engineering leaders.
Work cross-functionally with other Autonomy functions, Vehicle Engineering; Software, Data and Infrastructure; and Operations leaders to solve and deploy solutions to autonomy challenges.
Deliver innovative and robust advances to May’s MPDM technology including supporting the transition to data driven policies, faster & more accurate MPDM simulations, learnt reward functions, improved and expressive policies, compatible and stable control algorithms and any other technological aspect required to advance MPDM, May’s core technology.
Ensure May’s core MPDM technologies operate efficiently and effectively in commercial deployments, including supporting effective triage and resolution of issues related to this technology.
Maintain an understanding of related research fields including planning, automated decision making, and various machine learning techniques such as reinforcement learning.
Develop and maintain key performance indicators (KPIs) to track autonomy performance
Construct and execute a roadmap to solve key challenges and work with other autonomy leaders to synchronize this roadmap with the roadmaps of other functions.
Set the bar for bringing in new talent into the organization. Interview, hire, and manage a diverse team of talented perception engineers and scientists.
Oversee the escalation of critical issues and opportunities within the autonomy team’s leadership, driving clear recommendations to maximize the effectiveness of the team with respect to company priorities and strategy.
Skills and Abilities
Success in this role typically requires the following competencies
Deep technical knowledge and demonstrated success in delivering innovative solutions in one or more of the fields of planning, autonomous decision making, reinforcement learning, and computational prediction.
A demonstrated strong attention to detail with the ability to understand, track, and efficiently mitigate technical, integration, and personnel risks.
Demonstrated success in working in uncertain work environments with an ability to turn concepts and problems that are uncertain into effective, executable plans to resolve these issues.
A proven ability to get the best out of others, set goals and expectations for others, communicate clearly and honestly, and discuss difficult topics.
An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data.
Proven ability to work with other peers in related technical areas to jointly solve larger system issues.
Proven ability to deliver under tight schedules.
Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
Bachelor's degree in engineering in a highly technical field (e.g. robotics, computer science, computer engineering, aerospace engineering, physics) or equivalent experience
A demonstrated ability to solve complex autonomy problems as a principal investigator, staff or principal engineer, or director (or equivalent role)
7+ years of software-focused engineering experience solving challenging robotics problems in mission critical software and/or robotic systems.
Experience leading a team of 10+ engineers - setting goals, leading by example, handling challenging situations and failures
Previous experience as individual contributor successfully developing and deploying innovative solutions in the autonomous vehicle or related space
Desirable
PhD or masters degree in a relevant, highly technical field (e.g. robotics, computer science, computer engineering, aerospace engineering, physics)
5+ years of management experience
Experience developing and/or using MPDM
Deep understanding of the challenges facing autonomous vehicles as well as the state of the art in autonomy.
Physical Requirements
Standard office working conditions which includes but is not limited to:
Prolonged sitting
Prolonged standing
Prolonged computer use
Travel required? - Minimal: 1%-10%
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 as well as a phased return to work.
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program providing numerous resources for overall wellbeing
Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Salary Range
$238,000—$298,000 USD
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