{"schemaVersion":"jobsearcher.job.v1","id":"f99cf55ba9f5fde3dc60df6f","url":"https://jobsearcher.com/jobs/f99cf55ba9f5fde3dc60df6f","canonicalUrl":"https://jobsearcher.com/jobs/f99cf55ba9f5fde3dc60df6f","title":"Software Engineer, Autonomous Driving Platforms","description":"About the Role\n\nAt Bot Auto, we are revolutionizing the transportation of goods through autonomous trucking. With the agility of a startup and the experience of a team that has achieved numerous industry firsts, we build technology that connects autonomous vehicles, cloud infrastructure, data, machine learning, and real-world fleet operations.\n\nWe are looking for curious and motivated software engineers to help build the systems that make autonomous trucking possible.\n\nDepending on your interests, experience, and business needs, you may work on one or more areas, including:\n\nFull-stack and operational applications\nDistributed systems and backend services\nDeveloper and core infrastructure platforms\nData processing and workflow orchestration\nMachine learning infrastructure\nSimulation and evaluation applications\nBuild, release, and deployment tooling\n\nYou do not need prior experience in every area. We are looking for engineers with strong fundamentals, an eagerness to learn, and the ability to solve practical problems collaboratively. You will work alongside experienced engineers and develop expertise through real projects that directly support our autonomous vehicles and operations.\n\nKey Responsibilities\nDesign, implement, test, and maintain software features under the guidance of experienced engineers.\nBuild user-facing applications, backend services, APIs, data pipelines, or internal engineering tools.\nDevelop responsive web interfaces using technologies such as React and TypeScript.\nBuild backend services and workflow automation, primarily using Python and, where appropriate, Go.\nWork with databases, event-driven systems, and real-time data to connect applications, infrastructure, and autonomous vehicle operations.\nContribute to platforms supporting areas such as fleet operations, simulation, machine learning, data processing, CI/CD, and software deployment.\nDebug software issues and help improve system reliability, performance, usability, and observability.\nWrite clean, maintainable, well-tested, and well-documented code.\nParticipate in code reviews, technical discussions, testing, deployment, and production support.\nCollaborate with engineers, product managers, autonomy teams, and operations teams to translate real-world needs into dependable software.\nLearn new technologies and engineering practices as your responsibilities grow.\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\n0–3 years of professional software engineering experience. New graduates with strong academic, internship, open-source, or personal project experience are encouraged to apply.\nProgramming proficiency in at least one general-purpose language, preferably Python, Go, JavaScript/TypeScript, Java, or C++.\nSolid understanding of software engineering fundamentals, including data structures, algorithms, debugging, testing, and source control.\nAbility to break down problems, learn unfamiliar systems, and deliver well-scoped work.\nStrong written and verbal communication skills.\nCollaborative mindset, attention to detail, and willingness to receive and apply feedback.\nPreferred Qualifications\n\nExperience in one or more of the following areas is helpful but not required:\n\nFull-stack web development using React, TypeScript, and modern frontend tooling.\nBackend service or API development using Python or Go.\nSQL or NoSQL databases.\nDistributed systems, asynchronous processing, or event-driven architectures.\nData processing, batch workflows, or workflow orchestration systems.\nMachine learning pipelines, model evaluation, experiment tracking, annotation, or dataset management.\nSimulation, visualization, geospatial applications, or real-time operational interfaces.\nDocker, Kubernetes, or cloud platforms such as AWS.\nCI/CD systems, build tools, package management, or developer productivity tooling.\nStreaming and messaging technologies such as NATS, Kafka, MQTT, or WebSockets.\nObservability tools such as metrics, logging, tracing, dashboards, or alerting.\nAutonomous vehicles, robotics, transportation, logistics, or other systems that interact with the physical world.\nWhat We Value\nStrong engineering fundamentals over familiarity with a particular technology stack.\nDemonstrated ability to build, debug, or improve working software.\nCuriosity about how systems work across application, infrastructure, and operational boundaries.\nOwnership of your work while knowing when to ask for help.\nThoughtful consideration of reliability, usability, maintainability, and real-world impact.\nInterest in growing into a versatile engineer who can contribute across multiple technical domains.\n\nAt Bot Auto, engineers are not limited to isolated tasks. You will contribute to production systems, learn from experienced teammates, and have opportunities to explore different engineering areas as the company and your career grow.","company":"Botauto","rawCompany":"botauto","city":"Houston","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-29T11:18:39.831Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Autonomous Driving Platforms","description":"About the Role\n\nAt Bot Auto, we are revolutionizing the transportation of goods through autonomous trucking. With the agility of a startup and the experience of a team that has achieved numerous industry firsts, we build technology that connects autonomous vehicles, cloud infrastructure, data, machine learning, and real-world fleet operations.\n\nWe are looking for curious and motivated software engineers to help build the systems that make autonomous trucking possible.\n\nDepending on your interests, experience, and business needs, you may work on one or more areas, including:\n\nFull-stack and operational applications\nDistributed systems and backend services\nDeveloper and core infrastructure platforms\nData processing and workflow orchestration\nMachine learning infrastructure\nSimulation and evaluation applications\nBuild, release, and deployment tooling\n\nYou do not need prior experience in every area. We are looking for engineers with strong fundamentals, an eagerness to learn, and the ability to solve practical problems collaboratively. You will work alongside experienced engineers and develop expertise through real projects that directly support our autonomous vehicles and operations.\n\nKey Responsibilities\nDesign, implement, test, and maintain software features under the guidance of experienced engineers.\nBuild user-facing applications, backend services, APIs, data pipelines, or internal engineering tools.\nDevelop responsive web interfaces using technologies such as React and TypeScript.\nBuild backend services and workflow automation, primarily using Python and, where appropriate, Go.\nWork with databases, event-driven systems, and real-time data to connect applications, infrastructure, and autonomous vehicle operations.\nContribute to platforms supporting areas such as fleet operations, simulation, machine learning, data processing, CI/CD, and software deployment.\nDebug software issues and help improve system reliability, performance, usability, and observability.\nWrite clean, maintainable, well-tested, and well-documented code.\nParticipate in code reviews, technical discussions, testing, deployment, and production support.\nCollaborate with engineers, product managers, autonomy teams, and operations teams to translate real-world needs into dependable software.\nLearn new technologies and engineering practices as your responsibilities grow.\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\n0–3 years of professional software engineering experience. New graduates with strong academic, internship, open-source, or personal project experience are encouraged to apply.\nProgramming proficiency in at least one general-purpose language, preferably Python, Go, JavaScript/TypeScript, Java, or C++.\nSolid understanding of software engineering fundamentals, including data structures, algorithms, debugging, testing, and source control.\nAbility to break down problems, learn unfamiliar systems, and deliver well-scoped work.\nStrong written and verbal communication skills.\nCollaborative mindset, attention to detail, and willingness to receive and apply feedback.\nPreferred Qualifications\n\nExperience in one or more of the following areas is helpful but not required:\n\nFull-stack web development using React, TypeScript, and modern frontend tooling.\nBackend service or API development using Python or Go.\nSQL or NoSQL databases.\nDistributed systems, asynchronous processing, or event-driven architectures.\nData processing, batch workflows, or workflow orchestration systems.\nMachine learning pipelines, model evaluation, experiment tracking, annotation, or dataset management.\nSimulation, visualization, geospatial applications, or real-time operational interfaces.\nDocker, Kubernetes, or cloud platforms such as AWS.\nCI/CD systems, build tools, package management, or developer productivity tooling.\nStreaming and messaging technologies such as NATS, Kafka, MQTT, or WebSockets.\nObservability tools such as metrics, logging, tracing, dashboards, or alerting.\nAutonomous vehicles, robotics, transportation, logistics, or other systems that interact with the physical world.\nWhat We Value\nStrong engineering fundamentals over familiarity with a particular technology stack.\nDemonstrated ability to build, debug, or improve working software.\nCuriosity about how systems work across application, infrastructure, and operational boundaries.\nOwnership of your work while knowing when to ask for help.\nThoughtful consideration of reliability, usability, maintainability, and real-world impact.\nInterest in growing into a versatile engineer who can contribute across multiple technical domains.\n\nAt Bot Auto, engineers are not limited to isolated tasks. You will contribute to production systems, learn from experienced teammates, and have opportunities to explore different engineering areas as the company and your career grow.","datePosted":"2026-08-29T11:18:39.831Z","dateModified":"2026-08-29T11:18:39.831Z","hiringOrganization":{"@type":"Organization","name":"Botauto","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Houston","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f99cf55ba9f5fde3dc60df6f"},"url":"https://jobsearcher.com/jobs/f99cf55ba9f5fde3dc60df6f"}}