May Mobility logo
May Mobility
Posted 67 days agoVerified live 1d ago

Software Engineer II - Data Platform

Brief overview

Remote
UndergradOr in progress
$110k–$157k/yrStated range
2+ yrsMinimum
40 H-1B approvalsDept. of Labor
5 green cardsCertified filings
Object-oriented programmingPythonRustJavaData structuresAlgorithmsCloud platformsAWSAzureGCPAgile development methodologiesCI/CD practicesData-processing pipelinesData warehousingData lake conceptsDockerKubernetes

About the company

May Mobility logo
May Mobilitymaymobility.com

Autonomous mobility technology company advancing urban transportation.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
40H-1B approved
100%approval rate
13new H-1B hires
5PERM certified
$145,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202313
202410
202515
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20234
20243
20253
20262
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20232
20242
20251
Top sponsored roles
Lead Machine Learning EngineerSenior Autonomy Technical Project ManagerManager, Autonomy EngineeringSenior Software EngineerSenior Field Autonomy Applications Engineer
Sponsored employees from
IndiaIran

Job description

Summary

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. As a Software Engineer II, you will contribute to the design, development, and maintenance of scalable data pipelines that support data-driven initiatives, working independently to solve complex problems and ensure system compatibility.

Responsibilities

  • Contribute to the design, implementation, and maintenance of real-time and historical data pipelines, ensuring adherence to standard procedures and best practices
  • Build and maintain well-organized, documented libraries and APIs to manage, search, and analyze vehicle datasets
  • Collaborate on the development of front-end interfaces to visualize data and improve fleet operations
  • Partner with cross-functional autonomy and platform teams to address software needs, ensuring system compatibility and synchronization
  • Independently determine technical approaches to assigned tasks, actively discussing improvements and potential alternatives with the team
  • Apply rigorous testing and standard procedures to optimize data processing workflows for performance, scalability, and cost-effectiveness
  • Implement data quality checks and monitoring tools, maintaining awareness of the impact of these systems on product and business outcomes
  • Proactively invest in professional growth and technical mastery through research and application of industry standards

Skills

  • B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree or experience
  • 2+ years of industry experience in software engineering
  • Working knowledge of data structures, algorithms, and object-oriented programming
  • Experience with cloud platforms (AWS, Azure, GCP) and deployment practices
  • Experience with agile development methodologies and CI/CD practices
  • Experience building and maintaining data-processing pipelines in a cloud environment
  • Knowledge of data warehousing or data lake concepts
  • Familiarity with containerization (Docker, Kubernetes) and telemetry systems
  • Understanding of real-time data processing and distributed systems

Qualifications

Must Haves

  • B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree or experience
  • 2+ years of industry experience in software engineering
  • Working knowledge of data structures, algorithms, and object-oriented programming
  • Experience with cloud platforms (AWS, Azure, GCP) and deployment practices
  • Experience with agile development methodologies and CI/CD practices

Nice to Haves

  • Experience building and maintaining data-processing pipelines in a cloud environment
  • Knowledge of data warehousing or data lake concepts
  • Familiarity with containerization (Docker, Kubernetes) and telemetry systems
  • Understanding of real-time data processing and distributed systems

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

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