Software Engineer

Moove

$90K — $110K *
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or a related field preferred.
  • 1+ year of professional software development experience, excluding internships.
  • Proficient in at least one programming language.
  • Knowledge of AI/ML or LLM-driven applications preferred.
  • Experience with AWS, GCP, or Azure is a plus.

Responsibilities

  • Deliver code enhancements, refactors, and develop new features independently.
  • Transform feature specifications into production-ready code.
  • Understand business value behind software and effectively communicate progress.
  • Structure code into reusable components, while improving through feedback.
  • Collaborate throughout the software development lifecycle including testing and deployment.
  • Support and troubleshoot software issues, identifying root causes effectively.
  • Build team trust through efficient and reliable work delivery.

Benefits

  • Work at the forefront of the autonomous vehicles market projected to grow significantly.
  • Engagement in high-impact innovation contributing to sustainability efforts.
  • Opportunity to tackle significant operational challenges in AV logistics.
  • Develop sought-after skills in AI, robotics, and cloud infrastructure.
Full Job Description
Are you interested in building an AI operated autonomous fleet and depot operating system? Moove AV is looking for a Software Engineer to join the founding engineering team building a brand-new, greenfield platform for autonomous mobility operations, powered by GenAI, LLMs, and real-time visual intelligence.
Key Responsibilities
  • Deliver code enhancements, refactors, and new features for the team's software, working independently between regular checkpoints such as code reviews and daily standups.
  • Take well-understood feature specifications and turn them into working, production-ready code.
  • Build an understanding of the business and customer value behind the software you work on, and communicate your progress and trade-offs clearly to your team.
  • Structure code into multiple reusable, quality components, seeking guidance from teammates or your manager on multi-component problems, and consistently improve by incorporating code review feedback.
  • Collaborate with peers across the full software development lifecycle: scoping, design, coding, testing, documentation, deployment, and maintenance.
  • Participate in operational support and troubleshooting for your team's software, including issues in code you didn't author, working to identify and resolve root causes.
  • Communicate your progress and trade-offs clearly to your team, and build trust by delivering work efficiently and reliably.
Qualifications

Must have:
  • Bachelors in a related-field preferred (Computer Science, Software Engineering, Computer Engineering)
  • 1+ year of non-internship professional software development experience
  • Experience programming with at least one software programming language

Nice to have:
  • Coursework, projects, or internship experience involving AI/ML or LLM-driven applications.
  • Contributions to open-source projects, hackathons, or personal side projects.
  • Exposure to AWS, GCP, or Azure cloud platforms.
Working at AV Fleet & Depot Ops Tech

You'll be building at the center of one of the fastest-moving infrastructure categories in transportation, where the AV fleet operations market is projected to reach $12.8B by 2034.
  • Rapid Industrial Growth: You will work at the cutting edge of a booming global industry transforming logistics, supply chains, and urban transit.
  • High-Impact Innovation: Your daily work directly optimizes complex software systems, reducing vehicle emissions and building cleaner, more sustainable transportation networks.
  • Crucial Problem Solving: You will solve massive, real-world operational challenges like real-time scheduling, automated charging, and predictive fleet maintenance.
  • Valuable Skill Building: This career path builds highly marketable, future-proof expertise in artificial intelligence, robotics, data analytics, and cloud infrastructure.

Locations Miami, FL, Phoenix, AZ, Las Vegas, NV Remote status Hybrid

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