Staff Software Engineer

Moove

$130K — $155K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelors in Computer Science, Software Engineering, or related field preferred.
  • 8+ years experience in building cloud-native backend or platform systems.
  • Proven experience with greenfield products or internal platforms from scratch.
  • Hands-on experience with distributed systems on modern cloud infrastructure including AI/ML components.
  • Ability to convert ambiguous business requirements into production-ready systems.
  • Strong fundamentals in system design, reliability, and maintainability.
  • Comfort in high-ownership, low-process, early-stage environments.

Responsibilities

  • Design and develop highly scalable, distributed systems and services.
  • Write well-tested, production-grade code and conduct code and design reviews.
  • Own system lifecycle including design, deployment, monitoring, and support.
  • Deliver quality features on schedule within an agile framework.
  • Collaborate with cross-functional teams to translate problems into tech solutions.
  • Influence technical decisions and mentor engineers to elevate engineering standards.
  • Guide junior engineers through hands-on coaching and knowledge sharing.

Benefits

  • Opportunity to work in a rapidly growing infrastructure field.
  • Impact on sustainability through optimized software systems.
  • Chance to address complex real-world operational challenges.
  • Development of in-demand skills in AI, robotics, data analytics, 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 Staff Software Engineer to own the architecture of a core system of a brand-new, greenfield platform for autonomous mobility operations, powered by GenAI, LLMs, and real-time visual intelligence. You will start as a hands-on founding engineer, growing into long-term technical ownership and mentorship as the platform matures. Key Responsibilities • Design and build highly scalable, resilient, and distributed systems and services, while translating complex functional and technical requirements into detailed technical architecture. • Write high-quality and well-tested, production-grade code, and actively participate in and lead code reviews, design reviews, and day-to-day implementation work alongside the broader engineering team. • Own systems end to end, covering design, deployment, monitoring, and oncall support; build robust observability such as metrics, alarms, and dashboards; design for failure using graceful degradation and fallback strategies; and drive root-cause analysis on production issues. • Deliver quality features on time and on budget, and execute against project plans and commitments in an agile environment that balances speed with technical rigor. • Partner with GMs, Operations managers and supervisors, along with cross-time-zone teams, to translate business and customer problems into technical solutions, and work directly with customers and stakeholders to reduce friction and accelerate outcomes. • Influence technical decisions and standards within your team and immediate domain; mentor engineers across levels. Raise the engineering bar through design reviews, code reviews, and operational readiness. • Guide and develop junior engineers by sharing knowledge, providing hands-on coaching through code and design reviews, and fostering their growth so they can independently deliver high-quality, well-architected solutions. Qualifications Must have • Bachelors in a related-field preferred (Computer Science, Software Engineering, Computer Engineering) • 8+ years of experience building cloud-native backend or platform systems. • Proven experience delivering greenfield products or internal platforms from scratch. • Hands-on experience building distributed systems on modern cloud infrastructure and deployment pipelines, including AI/ML or LLM-driven components in production. • Ability to translate ambiguous business requirements into production-ready systems. • Strong engineering fundamentals across system design, performance, reliability, and maintainability. • Comfort operating in high-ownership, low-process, early-stage environments. Nice to have • Experience building workflow engines, orchestration systems, or DAG-based processing platforms. • Exposure to logistics, fleet, mobility, or data-intensive SaaS platforms. • Prior experience in founding engineer or early platform team roles. 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 Las Vegas, NV, Miami, FL, Phoenix, AZ Remote status Hybrid

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