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HomeCompaniesBot AutoSoftware Engineer, Operation Platforms

Software Engineer, Operation Platforms

Bot Auto · Houston, TX or San Francisco Bay Area · Remote · Active · Greenhouse

Job facts

FieldValue
CompanyBot Auto
TitleSoftware Engineer, Operation Platforms
Normalized title-
Department / teamAlgorithm
LocationHouston, TX, United States
Work modelRemote / Remote
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-06-05 / 2026-06-06
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Bot Auto.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Houston.Open
Department jobsActive postings in Algorithm .Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyBot Auto
Sourceeab57010-dfaf-44bf-aaa8-d29d627f848a
ATS providerGreenhouse

Description

Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality. We are seeking a motivated Software Engineer, Operation Platforms to help build the platforms that power Bot Auto's autonomous trucking operations. Our Operation Platforms builds the intelligence and automation behind fleet scheduling, fleet management, fleet maintenance, mission control, remote assistance, IoT platform, business intelligence, and operational efficiency. Together, these platforms turn commercial freight into executable, monitored, and reconciled work across digital and physical domains. Working alongside experienced engineers, you will design, build, and ship features within one or more of these domains, directly impacting how our autonomous trucks are scheduled, dispatched, monitored, maintained, and optimized in real-world commercial freight operations. Key Responsibilities Contribute to backend services and/or frontend tools across the operation platforms — scheduler, dispatcher, vehicle console, ATC, and TMS. Implement features within the system's core workflows (e.g., load and leg planning, mission monitoring, exception handling) under the guidance of senior engineers. Build and consume APIs, and work with databases and event-driven integrations that connect digital planning to the physical fleet. Develop role-based operator tools (for dispatchers, remote assistants, technicians, and fleet managers) with attention to usability and reliability. Participate in debugging, testing, and improving system performance and reliability in production. Write clean, maintainable, and well-documented code following engineering best practices. Collaborate with engineers and product/operations teams to deliver well-scoped features. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent experience 0–3 years of software engineering experience (new graduates with strong fundamentals are welcome) Programming skills in at least one language such as Python, Go, Java, or JavaScript/TypeScript Solid understanding of data structures, algorithms, and software engineering fundamentals Strong problem-solving skills and eagerness to learn in a fast-paced environment Preferred Qualifications Internship or project experience with web development, building APIs, or full-stack applications Familiarity with databases (SQL or NoSQL) and event-driven or real-time data processing Exposure to cloud platforms (AWS, GCP, or Azure) or containerization (Docker, Kubernetes) Experience with modern frontend frameworks (React, TypeScript) Interest in distributed systems, logistics/operations software, IoT, or autonomous systems Passion for improving real-world operations through software

Full job record

Job ID3eed16347c56d92b2039684d5ff7312b845fb3b4
Org IDc4a9840f-06e1-4766-a812-7620f723b497
Source IDeab57010-dfaf-44bf-aaa8-d29d627f848a
Board IDeab57010-dfaf-44bf-aaa8-d29d627f848a
Providergreenhouse
Provider Job Key5248910008
TitleSoftware Engineer, Operation Platforms
Normalized Title
Statusactive
Activeyes
Location TextHouston, TX or San Francisco Bay Area
DepartmentAlgorithm
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionTX
CityHouston
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/botauto/jobs/5248910008
Apply URLhttps://job-boards.greenhouse.io/botauto/jobs/5248910008
First Seen At2026-06-06 07:35:26Z
Last Seen At2026-06-06 07:35:26Z
Last Checked At2026-06-06 07:35:26Z
Last Changed At2026-06-06 07:35:26Z
Inactive At
Source Posted At2026-06-05 00:57:13Z
Source Updated At2026-06-05 00:57:13Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=botauto/date=2026-06-06/2026-06-06T07-35-26-284Z-ccb05dbb347ba614b293f5d1ba32db0e1a25bcf04344f90f2b14e404a853d04b.json
Event Fields
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  "last_changed_at": "2026-06-06T07:35:26.417Z",
  "active_status": "active"
}
Parsed Structured
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    "city": "Houston",
    "region": "TX",
    "country": "United States",
    "is_remote": true,
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  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
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      "location": "Houston, Texas, United States",
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  "language": "en",
  "location": {
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  "metadata": [],
  "updated_at": "2026-06-04T20:57:13-04:00",
  "departments": [
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  "company_name": "Bot Auto",
  "requisition_id": 4486624008,
  "first_published": "2026-06-04T20:57:13-04:00",
  "application_deadline": null
}
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