Staff Software Engineer

Moove

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

Qualifications

  • Bachelor's in Computer Science, Software Engineering, or related field preferred.
  • 8+ years of experience building cloud-native backend or platform systems.
  • Proven track record in delivering greenfield products from the ground up.
  • Hands-on experience with distributed systems utilizing modern cloud infrastructure and AI/ML components.
  • Strong ability to translate ambiguous business requirements into robust production systems.
  • Solid engineering fundamentals including system design, performance, reliability, and maintainability.
  • Comfortable navigating high-ownership, low-process early-stage environments.

Responsibilities

  • Design and build scalable, resilient, and distributed systems and services.
  • Write high-quality, well-tested production-grade code and lead code reviews.
  • Own systems end-to-end, focusing on design, deployment, monitoring, and support.
  • Deliver quality features on time within an agile framework.
  • Collaborate with cross-functional teams to translate business problems into technical solutions.
  • Influence technical decisions and mentor engineers to raise the engineering standard.
  • Guide junior engineers through knowledge sharing and hands-on coaching.

Benefits

  • Work in a rapidly growing and innovative industry focused on autonomous vehicles.
  • Engage in projects that contribute directly to sustainability and reduced vehicle emissions.
  • Address real operational challenges in logistics and transportation.
  • Gain valuable experience in AI, robotics, data analytics, and cloud technology.
  • Possible hybrid work arrangement in dynamic urban locations.
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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