Lead Autonomy Engineer - Behavior/ML at May Mobility

Ann Arbor, Michigan, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Robotics, TransportationIndustries

Requirements

10+ years of industry experience working on real-world robot systems including implementing at least two commercial projects working at a systems-level, delivering critical functions that make a robot work successfully in the field
Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
Experience developing and deploying capabilities for robot behavior planning, decision making under uncertainty, path planning, probabilistic reasoning, prediction, machine learning, trajectory generation, controls and/or localization
Strong programming skills in C/C++
Expertise with software development in a Linux environment
Familiarity with standard development tools such as git, valgrind, and gdb
In-depth understanding of one or more of the following: behavior planning, decision making under uncertainty, path planning, probabilistic reasoning, prediction, machine learning, trajectory generation, controls or localization
Awareness of the state of the art in the field, and be able to translate novel ideas into relevant solutions
Ability to understand complex code bases and identify long term architectural improvements
Ability to provide individual and team mentorship, including technical leadership for complex projects
Ability to collaborate cross functionally with adjacent teams such as perception and controls
Ability to communicate complex technical concepts to diverse audiences, including stakeholders, executives, and customers

Responsibilities

Work independently with cross functional teams to develop software and system requirements
Design, implement, and test-state-of-the-art robotics software in C/C++
Lead team code quality activities including design and code reviews
Track and Trend technical performance of the system in the field
Provide technical guidance to Technical Support Team on issue diagnosis and resolution

Skills

Key technologies and capabilities for this role

C/C++Robotics SoftwareAutonomous VehiclesMachine LearningBehavior PlanningSystem RequirementsCode ReviewDesign ReviewTechnical Performance Tracking

Questions & Answers

Common questions about this position

What is the salary for the Lead Autonomy Engineer position?

This information is not specified in the job description.

Is this Lead Autonomy Engineer role remote or onsite?

This information is not specified in the job description.

What key skills are required for the Lead Autonomy Engineer role?

Required skills include in-depth understanding of behavior planning, decision making under uncertainty, path planning, probabilistic reasoning, prediction, machine learning, trajectory generation, controls or localization, plus proficiency in designing and implementing robotics software in C/C++ and leading code reviews.

What is the company culture like at May Mobility?

May Mobility fosters a collaborative environment with cross-functional teams, emphasizing independent impact on real-world AV problems, passion for building the future, and working with experienced roboticists and software engineers.

What makes a candidate successful for this Lead Autonomy Engineer position?

Successful candidates have a background in robotics or autonomous vehicles, in-depth expertise in AV domains like behavior planning or machine learning, ability to lead teams through code reviews and mentorship, and collaborate cross-functionally.

May Mobility

Operates autonomous vehicle mobility solutions

About May Mobility

May Mobility focuses on transforming urban transportation through autonomous vehicles. Their self-driving technology utilizes real-time, on-board simulations to anticipate and safely navigate unexpected road situations, which is a major challenge in the industry. This capability ensures that their vehicles can respond effectively to various scenarios, prioritizing the safety of passengers and other road users. May Mobility partners with cities and businesses globally, providing solutions that enhance mobility convenience, safety, and environmental sustainability. Their unique approach to handling unpredictable situations sets them apart from competitors, as they aim to improve urban transportation and make cities more accessible and visually appealing.

Ann Arbor, MichiganHeadquarters

2017Year Founded

$375.1MTotal Funding

SERIES_DCompany Stage

Automotive & Transportation, Government & Public SectorIndustries

201-500Employees

Benefits

Health, vision, & dental

Unlimited paid vacations & generous holidays

Paid parental leave

Stock options

Daily catered lunches & snacks

Flexible schedule

Risks

Increased competition from Waymo with a $5 billion investment poses a market challenge.

Federal scrutiny on safety practices could lead to regulatory challenges for May Mobility.

Wayve's $1.05 billion funding for AI advancements poses a competitive threat.

Differentiation

May Mobility uses real-time simulations for safe navigation in unexpected road situations.

The company partners with cities to enhance urban transportation with autonomous shuttles.

May Mobility's technology reduces pollution and human error, improving community economic benefits.

Upsides

Expansion to Japan shows global demand for May Mobility's autonomous solutions.

Partnerships with cities like Detroit enhance public transportation and accessibility.

Rising interest in autonomous B2B trucking offers new market opportunities for May Mobility.

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