May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

# **Job Summary**

The Autonomy Interactions Team is responsible for building the tools and systems that run and communicate with our vehicles to support our roboticists, global operations, and integrations. If it is managing vehicle communications, providing exemplary rider experiences, or developing our remote guidance tool our group has numerous ways to make their mark. Members of this tight-knit group act as a force multiplier, increasing the efficiency and productivity of other engineering teams.

# **Essential Responsibilities**

- Build full stack systems that are highly responsive, scalable and resilient
- Provide a strong example of ownership of the projects in which they are involved.
- Develop RESTful APIs and messaging solutions as a foundation for new features and to support scalable architecture
- Be the driving force for adoption of frontend and backend Web and mobile frameworks, and identify opportunities to modernize existing experiences
- Mentor Junior engineers to help them progress professionally
- Manage documentation, quality of team code, processes, and best practices.
- Provide modern and intuitive user experience
- Work independently to develop complex features with little oversight.

# **Skills and Abilities**

*Success in this role typically requires the following competencies:*

- Talent and passion for engaging with customers to gather requirements, identify shortcomings, and develop new features.
- Strong knowledge of REST APIs and messaging solutions such as NATS, Kafka, Kinesis, SQS/SNS
- Strong sense of ownership and a results oriented mindset.
- Attention to detail
- Rigorous testing methodology
- Excellent written and verbal communication skills
- Working knowledge of telemetry systems and real-time data processing

# **Qualifications and Experience**

*Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:*

***Required***

- B.S. Degree in Computer Science, Computer Engineering, HCI/UX, or an equivalent degree and 5 years of industry experience
- Hands-on experience with full stack development with expertise in frontend frameworks such as React, Angular, Vue
- Experience with backend technologies such as Rust, Node.JS/Express, Java/Spring, Python, Go
- Hands-on experience with AWS or other cloud services.
- Experience with robotics, automotive engineering, or start-ups is not required
- Ability to pass a driving record check

***Desirable***

- Expertise with QUIC, optimizing low throughput connections, streaming audio and streaming video.
- M.S. Degree in Computer Science, Computer Engineering, or HCI/UX and 5 years of industry experience
- Experience developing Single Page Applications (SPAs) and Progressive Web Applications (PWAs)
- Experience building and managing large-scale systems in a cloud environment
- Experience designing and building modern, accessible and delightful user interfaces

# **Physical Requirements**

- Standard office working conditions which includes but is not limited to:
    - Prolonged sitting
    - Prolonged standing
    - Prolonged computer use
    - Lift up to 50 pounds
- Hybrid role based out of Ann Arbor, Michigan.
    - **Hybrid employees** work remotely from their home or alternative work space as well as from one of our offices or sites at an agreed upon cadence set by their leader and based on the nature of their role. _ number of days per week/month or as otherwise agreed to with manager (job function- job dependent) 2 to 3 days per week or 8 days per month in office. Weekly 1-4 days per week

Please note that the salary range for this role is based on a Michigan-based employee.  Our salary ranges can vary for other locations in the United States

Senior Software Engineer II

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

**サイトオートノミーエンジニア - 東京勤務**

**Site Autonomy Engineer - Tokyo-based Position**

**Job Summary　この求人について**

The Site Autonomy Engineer’s primary role will be the hands-on support of the operational fleet in the respective site location. The engineer will work intimately with the electromechanical and software elements of the system to ensure the success of the launch and the safety of autonomous driving solutions.

サイトオートノミーエンジニア（東京勤務）の主な役割は、所属する現地の運用サイトの実地サポートです。エンジニアは、電気機械およびソフトウェアの要素と緊密に連携し、自動運転のサイト立ち上げの成功とその安全性を確保するための作業を行います。

**Job Responsibilities　職務概要**

- Perform hardware maintenance and regular maintenance of autonomous vehicles
- Conduct sensor calibration, and data collection for autonomous vehicles
- Perform on-site software configuration, map development, and driving test for autonomous driving technology
- Respond to field issues and improvement requests by modifying maps, troubleshooting root causes, testing improvements and documenting solutions
- Collaborate with the engineering team to execute on-site testing for safety and passenger comfort
- Collaborate with the operation team to provide daily inspections and technical support
- Act as an escalation point at the call center for handling technical inquiries
- 自動運転車両のハードウェア保守及び定期メンテナンスの実施
- 自動運転車両のセンサーキャリブレーションの実施
- 自動運転技術に関するソフトウェアの現地設定の実施
- センサーデータの収集、地図の開発とテストのタスクの実施
- 現場の問題や改善要求に応えるためのトラブルシューティング、地図の修正、改善のテスト、および解決策の文書化の実施
- エンジニアリングチームと連携して安全性と乗客の快適さのための現地テストの実施
- オペレーションチームと連携して日常点検及び技術サポートの提供
- コールセンターのエスカレーションポイントして技術的な問い合わせの対応

**Qualifications and Skills　応募資格とスキル**

**Required Qualifications:**　必要な資格

- Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Science or relevant experience
- 3+ years of experience in wire harnesses and basic mechanical subsystems
- Experience with computing environments in Linux. Utilizing Git, or willingness to learn.
- Ability to think holistically about the entire system and prioritize safety in all tasks
- Ability to read and understand mechanical or electrical drawings
- Excellent Japanese verbal and written communication skills
- Experience working in an environment with international team members
- Possession of the Japanese driver's license for regular automobiles
- 機械工学、電気工学、情報理工の学士号または関連する経験
- ワイヤーハーネスと基本的な機械サブシステムにおいて3年以上の経験
- Linuxにおけるコンピューティング環境に対する経験、Gitの使用経験、または学習能力
- システム全体を俯瞰する思考力及びすべての作業における安全第一のアプローチ
- 機械または電気の図面を読み解き理解する能力
- 優れた日本語の口頭および文章でのコミュニケーション能力
- 米国のチームと円滑に協業するため、抵抗感なく簡単な英語の使用能力
- 普通自動車第一種免許の所有

**Preferred Qualifications**　望ましい応募資格

- Possession of the driver's license for middle-size or above vehicles
- Experience in programming using Python and C++, as well as knowledge of algorithms related to autonomous driving
- Proficiency in diagnosing and troubleshooting mechanical and electrical systems
- Experience in Agile development projects
- 中型自動車第一種免許以上の所有
- PythonやC++を使用したプログラミング経験、自動運転に関するアルゴリズムの知識
- 機械および電気システムの診断とトラブルシューティングの能力
- アジャイル開発プロジェクトの経験

**Benefits, Perks, and Career Path**　福利厚生及びポジションの魅力・キャリアパス

- Competitive salary, stock incentives, and equity refresh programs
- Medical insurance, health insurance, labor insurance, and employment insurance
- Holiday and vacation benefits: Saturday and Sunday, Japan national holidays, and annual paid leave
- Opportunity to be part of a dynamic US-based company, working with cutting-edge autonomous driving technology to meet customer needs at the forefront
- Careful annual performance evaluation and comprehensive promotion system, providing ample opportunities for technical and professional growth
- 競争力のある給与、株式インセンティブとエクイティリフレッシュプログラム
- 医療保険、健康保険、労働保険、雇用保険
- 完全週休2日、国民の祝日、年次有給休暇
- 活力ある米国企業の一員として、最先端の自動運転技術に触れ、最前線でお客様のニーズを満たす機会
- 慎重な年次パフォーマンス評価と充実した昇進制度により、技術的および専門的な成長のための十分な機会

# **Physical Requirements**

- Standard office working conditions which includes but is not limited to:
    - Prolonged sitting
    - Prolonged computer use
- Travel requirements - example- expectations 5-10%

**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 with immediate eligibility as well as a phased return to work.
- Flexible vacation policy in addition to 18 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](https://maymobility.com/careers/)!*

*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.*

Site Autonomy Engineer

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

**Your Opportunity to Drive Success**

You will have an opportunity to independently impact our approach to solving the most interesting problems facing AV’s today, while operating live in the wild.

- Work independently with cross functional teams to develop software and system requirements
- Develop simulation tools to support safety and performance testing of Autonomous Vehicles
- Lead team code quality activities including design and code reviews
- Ensure that internal users/developers can design and add needed automatic test coverage cases efficiently and effectively. Work to train internal users on this process as needed.

### **Required Qualifications**

- B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree and a minimum of 2 years of industry experience
- Significant experience working in modern C++ (C++14/17/20)
- Strong working knowledge of design patterns, data structures, and algorithms
- Experience designing, building, and expanding complex software systems with real-time and performance constraints
- Experience in some form of real-time simulation platform development and integration (game engine, autonomous vehicle simulation, etc…)
- Excellent attention to detail and rigorous testing methodology
- Excellent written and verbal communication skills
- Ability to provide technical leadership for a development team
- Previous experience developing in Linux environments or ability to adapt to this environment
- Experience with robotics, automotive engineering, or start-ups is not required

### **Desired Qualifications**

- M.S. Degree in Computer Science, Computer Engineering and 3+ years of industry experience
- Significant experience working in Python is a plus
- Significant experience with data science tools in python (e.g. numpy, scipy, scikit-learn) is a plus
- rust experience is a plus
- Experience with Applied Intuition simulation software suite a plus (Simian, Logstream, Spectral, etc…)

# **Physical Requirements**

- Standard office working conditions which includes but is not limited to:
    - Prolonged sitting
    - Prolonged computer use
- Travel requirements - example- expectations 5-10%

Senior Autonomy Engineer 

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

**Your Opportunity to Drive Success**

- Build state-of-art data distribution, storage, and analysis platforms powering experiences for internal and external customers
- Participate in design, management, and scaling of our real-time and historical data pipelines, and its underlying infrastructure, to enable our fleet to operate and facilitate continuous development of our system
- Design data models for optimal storage and retrieval meeting requirements of stakeholders with different needs
- Define, build, and expand libraries and APIs for managing, searching, and analyzing vehicle datasets with internal and external partners
- Effectively work on a small, fully-empowered team with peer and junior team engineers and provide guidance and best practices

**Required Qualifications:**

- B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree and 5+ years of industry experience
- Hands-on experience with distributed technology such as Kafka, Spark, Spark Streaming, Storm, Flink, Cassandra
- Strong working knowledge of data structures and algorithms
- Mastery of an object oriented programming language, such as C++, Python, or Java
- Excellent attention to detail and rigorous testing methodology
- Exceptional written and verbal communication skills and team leading abilities
- Experience with robotics, automotive engineering, or start-ups is not required
- Experience mentoring and guiding junior engineers
- Ability to undergo a driving record check

**Desirable Qualifications:**

- M.S. Degree in Computer Science, Computer Engineering and 3+ years of industry experience
- Experience building and managing large-scale data-processing pipelines in a cloud environment
- Experience with build and deployment tools such as Jenkins, Gitlab CI, Docker
- Experience managing cloud infrastructure as code, such as kubernetes, helm, or terraform
- Working knowledge of telemetry systems and real-time data processing

# **Physical Requirements**

- Standard office working conditions which includes but is not limited to:
    - Prolonged sitting
    - Prolonged standing
    - Prolonged computer use
    - Lift up to 50 pounds
- Remote role based out of Ann Arbor, MI.
    - **Remote employees** work primarily from home or an alternative work space.
- Travel requirements - 0%

The salary range provided is based on a position located in the state of Michigan.  Our salary ranges can vary across different locations in the United States.

Lead Data Engineer

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

**Job Summary**

As a Senior Autonomy Engineer - LIDAR, you will lead the solution of challenging and complex problems facing vehicle autonomy.  You will lead the design of future May autonomy systems and track down and solve the system’s most difficult issues.

**Your Opportunity to Drive Success**

You will have an opportunity to independently impact our approach to solving the most interesting problems facing AV’s today, while operating live in the wild.

- Collaborate with other machine learning and robotics engineers to design, implement, test, and deploy robust, generalizable perception solutions for autonomous vehicles
- Work independently with cross-functional teams to develop software and system requirements
- Develop, test, and deploy software in C/C++/CUDA
- 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

**Required Qualifications**

- A minimum of 5+ years of industry experience working on real-world robot perception systems (should have implemented at least two commercial projects working at a systems level, developing perception software as part of a larger robotics system)
- Masters' or PhD's degree in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
- Object Detection/Segmentation/Tracking in Lidar, Vision, or LiDAR-Camera sensor fusion
- Solid experience on applying Machine Learning or Deep Learning Technologies to LiDAR or Sensor Fusion
- Strong experiences on large-scale data driving and data analysis system to understand LiDAR, Vision, Sensor Fusion system
- Strong programming skills in C/C++ and experience with software development in a Linux environment
- Familiarity with standard development tools such as git, and CI/CD pipelines
- Experiences on fast ML development cycle
- Experiences on ML model optimization and deployment

**Desired Qualifications**

- Strong background in one of the robot perception areas discussed above as demonstrated by developing and delivering to fielded robots multiple capabilities that solve critical problems in perception
- Demonstrated ability to mentor and support more junior engineers in learning and contributing to robotics development and testing
- Experience with python, machine learning software frameworks, and GPU programming in CUDA or related higher-level languages

# **Physical Requirements**

- Standard office working conditions which includes but is not limited to:
    - Prolonged sitting
    - Prolonged standing
    - Prolonged computer use
    - Lift up to 50 pounds

Senior Autonomy Engineer - LIDAR

May Mobility

We aim to make transit more sustainable, safe, accessible and equitable for everyone by building a better autonomous vehicle technology that works in the real world. We've delivered shared, on-demand rides to communities at ten sites across the U.S. and Japan.

May Mobility

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