{"id":105848,"url":"https://alion.io/job/zoox-software-engineer-ride-and-fleet-services","title":"Software Engineer - Ride and Fleet Services","company":{"id":3626,"name":"Zoox","domain":"zoox.com","url":"https://alion.io/company/zoox","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":73,"open_postings":45,"ghost_share":0,"stale_share":0.889,"repost_share":0,"time_to_fill_p50_days":83,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States","Seattle, United States","Foster City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":172000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Java","optional":false},{"name":"Kotlin","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-05-12T03:43:11Z","employer_posted_date":"2026-05-12","last_verified_at":"2026-10-29T10:09:05Z","board_verified":true,"closed_at":null,"days_open":170,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":170},"description":"Our Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots!\nIn this role, you will:\nDesign and build a scalable, efficient, and robust robotaxis dispatch service.\nCraft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques.\nApply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems.\nUse operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency.\nIntegrate optimization algorithms into the robotaxi platform.\nBuild and use in-house or 3rd-party simulation models to test dispatch optimization algorithms’ effectiveness.\nQualifications\nBachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field.\nProven experience in algorithm development, with a strong emphasis on operational research methodologies.\nProficiency in programming languages Java or Kotlin\nSolid background in machine learning, AI, operational research, and data analysis.\nPassion for learning new technologies, domains, and challenging the status quo.\nStrong mathematics skills.\nExceptional problem-solving, analytical, and quantitative skills.\nBonus Qualifications\nExperience with GIS and mapping software.\nExperience in transportation, logistics, or autonomous vehicles.\nExperience in building/using fleet simulation tools.\nAbility to lead through ambiguity and work with diverse stakeholders.\nAbility to Iterate quickly and efficiently on building end-to-end experiences.\nExperience handling large data sets and scaling service horizontally to a large number of users.\nExperience developing cloud services and an understanding of design for scalability, performance and reliability.\nKnowledge about microservice design patterns and DB access.\nKnowledge of engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations.","description_format":"text","description_chars":2496,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving","Smart Mobility","Automotive Manufacturing","Ride Hailing"],"lifecycle":[{"event":"open","at":"2026-05-12T03:43:11Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 373 · green card filings: 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