Lead Autonomy Controls Engineer at May Mobility

Ann Arbor, Michigan, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Robotics, AutomotiveIndustries

Requirements

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)
7+ 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
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
Familiarity with multiple non-linear control methodologies appropriate to autonomous vehicles
Expert 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 ability to translate novel ideas into relevant solutions
Ability to understand complex code bases and define architecture as a framework enabling others to solve problems
Ability to provide technical leadership for complex projects, including individual and team mentorship
Ability to collaborate cross-functionally with adjacent teams such as perception and controls as well as stakeholders outside of autonomy
Communicates technical direction effectively at all organizational and technical levels
Defines measurable success metrics for technical roadmap to ensure delivery and health of the system

Responsibilities

Design, implement, and test state-of-the-art robotics software in C/C++ to enable comfortable and safe behavior and control for Autonomous Vehicles
Lead and participate in team code quality activities including design and code reviews
Provide technical guidance to Technical Support Team on issue diagnosis and resolution
Coordinate with cross-functional teams to develop software and system requirements for Autonomous Vehicle behavior and controls subsystems
Collaborate with data science team members to design and implement metrics capturing key performance indicators of Autonomous Vehicle subsystems
Develop unit and simulation tests to validate vehicle performance across target operational domains
Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in real-world scenarios
Diagnose and root-cause issues reported by commercial operations through the May Field Response process
Develop tools and visualizations to enable support engineers to analyze performance of behavior and control subsystems from field data

Skills

Key technologies and capabilities for this role

C++CRobotics SoftwareAutonomous VehiclesCode ReviewsSoftware TestingUnit TestingSimulation TestingOn-Vehicle TestingRoot Cause AnalysisSystem RequirementsMetrics DesignControls Engineering

Questions & Answers

Common questions about this position

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

Expert understanding of behavior planning, decision making under uncertainty, path planning, probabilistic reasoning, prediction, machine learning, trajectory generation, controls or localization is required, along with proficiency in C/C++ for robotics software, ability to understand complex code bases, provide technical leadership, and collaborate cross-functionally.

Is this a remote position or does it require being in the office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the company culture or work environment look like at May Mobility?

The company emphasizes building the future today, solving real-world problems, and seeing the impact of work, with a collaborative environment involving cross-functional teams like perception, controls, data science, and technical support.

What makes a strong candidate for this Lead Autonomy Controls Engineer position?

Strong candidates have expert knowledge in AV domains like controls or planning, proficiency in C/C++, experience leading teams through code reviews and mentorship, and the ability to collaborate across teams while staying current with state-of-the-art research.

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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