May Mobility · 14 hours ago
Staff Software Engineer - Autonomy Data & Tooling
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. We are seeking a highly skilled and experienced Staff Data Engineer to join our growing Data Platform team, responsible for designing, building, and optimizing scalable data pipelines for our autonomous vehicles' data collection.
AutomotiveAutonomous VehiclesPublic TransportationSoftwareTravel
Responsibilities
Lead the design, development, and implementation of highly robust and scalable data pipelines for ingesting, processing, and transforming vehicle data to cloud
Architect and implement real-time streaming solutions for continuous data offloading, prioritizing low-latency delivery, high throughput, and optimal resource utilization (especially CPU) across both vehicle and offload infrastructure
Optimize real-time pipelines, improving data freshness and time-to-insight while maintaining cost-efficiency and medallion architecture principles
Champion best practices for data quality, data governance, and data security throughout the data lifecycle
Implement and manage advanced queuing and prioritization mechanisms for data processing jobs, moving beyond first-come, first-served to enable on-demand data prioritization
Foster a culture of rigorous testing, documentation, and continuous improvement within the data engineering team
Mentor and provide technical leadership to junior and mid-level data engineers, promoting knowledge sharing and technical growth
Collaborate closely with software engineers, cloud architects, data scientists, and product managers to understand data requirements and deliver impactful solutions
Evaluate and recommend new technologies and approaches to enhance our data platform capabilities
Qualification
Required
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field
15+ years of experience in data engineering, with at least 5 years in a lead or senior technical role
Expert-level proficiency in distributed data processing frameworks
Demonstrated expertise in optimizing data transfer from edge devices
Strong understanding and practical experience with performance optimization in resource constrained environments
Strong programming skills in Python, with a strong preference for candidates with significant experience in lower level languages used in embedded systems
Extensive experience with cloud platforms (AWS, Azure, or GCP), particularly with data storage, compute, and messaging services (e.g., S3, Kafka, Kinesis)
Proven ability to design and implement robust, fault-tolerant, and scalable data stream processing systems
Familiarity with containerization technologies (Docker, Kubernetes)
Strong understanding of database concepts (SQL and NoSQL)
Experience with version control systems (Git) and CI/CD pipelines
Demonstrated ability to troubleshoot complex data pipeline issues and optimize performance
Knowledge of software engineering best practices, including design patterns, clean code and testing methodologies
Benefits
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
Company
May Mobility
May Mobility is a manufacturing firm that designs and develops autonomous technology vehicles for self-driving transportation solutions.
H1B Sponsorship
May Mobility has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (13)
2023 (15)
2022 (9)
2021 (8)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$309.58MKey Investors
GrabITOCHU CorporationNTT Group
2025-10-23Corporate Round
2025-05-29Corporate Round· $6.96M
2023-11-07Series D· $105M
Recent News
2026-01-16
2026-01-03
Business Insider
2025-12-25
Company data provided by crunchbase