{"schemaVersion":"jobsearcher.job.v1","id":"e2ac549e6b043c0a781313d8","url":"https://jobsearcher.com/jobs/e2ac549e6b043c0a781313d8","canonicalUrl":"https://jobsearcher.com/jobs/e2ac549e6b043c0a781313d8","title":"Robotics Test Engineer","description":"Who we are\nPronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field.\n\nWe are on a mission to make mining operations safer, smarter, and more efficient through cutting‑edge technology, and we are building toward becoming the world’s first profitable AV technology company.\n\nWhat you’ll do\n\nTest Platform & Infrastructure — Design and build the core test infrastructure: harnesses, fixtures, runners, orchestration, and test artifact management for our ZMQ/Cap'n Proto middleware stack\n\nSimulation-Based Testing — Build the simulation infrastructure that lets us run autonomy software against virtual scenarios, with deterministic playback and meaningful coverage of real-world conditions\n\nCI/CD for Robotics — Build and maintain the testing pipeline that gates code changes – unit, integration, simulation, and replay-based regression – and integrate it cleanly into the developer workflow\n\nLog Replay & Recorded Scenario Testing — Build infrastructure that converts production logs into reproducible test cases the QA Engineer can curate and the dev team can run\n\nWhat we’re looking for\n\n3+ years of software engineering experience, with significant work on testing infrastructure, developer tools, or distributed systems\n\nStrong Python – you’ll write substantial code, much of it touching production‑adjacent infrastructure\n\nExperience designing and building automation pipelines (CI/CD, test orchestration, build systems)\n\nDeep familiarity with at least one large‑scale software platform – comfortable thinking in terms of APIs, abstractions, and platform usability\n\nExcellent debugging and systems thinking – you’ll be reasoning about failures across simulation, networking, serialization, and CI infrastructure\n\nComfort building greenfield – much of what you’ll work on does not exist today\n\nPreferred Qualifications\n\nExperience with robotics, autonomous vehicles, or other safety‑critical systems\n\nHands‑on experience with simulation environments (Gazebo, CARLA, Isaac Sim, or proprietary)\n\nFamiliarity with pub/sub messaging systems (ZMQ, ROS, DDS) and binary serialization formats (Cap'n Proto, Protobuf)\n\nC++ familiarity – enough to read and integrate against the autonomy stack\n\nCloud infrastructure experience for parallel test execution (AWS/GCP, Kubernetes)\n\nExperience with hardware‑in‑the‑loop testing or real‑time systems\n\nPerformance engineering background – you’ve debugged and optimized slow CI/test pipelines before\n\nTechnical Environment\n\nLanguages: Python\n\nTest Frameworks: pytest, simulation‑based\n\nInfrastructure: Docker, GitHub Actions, cloud compute for simulation\n\nCommunication/Documentation: Slack, Notion\n\nExample Projects\n\nBuild a simulation harness that runs the full autonomy stack against parameterized mining scenarios in cloud‑based parallel execution\n\nDesign a log‑to‑test‑case pipeline that ingests a production log fragment and produces a deterministic replay test the QA Engineer can add to a regression suite\n\nBuild a test platform dashboard that surfaces flaky tests, slow tests, and coverage gaps to the QA Engineer and developer lead\n\nWhy join us\n\nWork on real, production‑deployed autonomy.\n\nBuild technology that directly improves safety, efficiency, and productivity.\n\nTackle complex challenges in demanding, real‑world environments.\n\nBe part of a fast‑moving team with high ownership and impact.\n\nSee your work deployed and making a difference in the field.\n\nCollaborate closely with experienced engineers and industry operators.\n\nWhat else you need to know\nThis role is based in our San Francisco office location. All of our office‑based teams work onsite, five days a week.\n\nCompensation\nBase salary range: $298,000 - $376,000 per year.\n\nActual compensation will be determined on an individual basis and may vary based on experience, skills, and qualifications.\n\nBase salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance‑based bonus.\n\nBenefits Summary (USA Full‑Time Exempt Employees)\n\nMedical, Dental, Vision, Disability, and Life Insurance\n\nFlexible Spending Account / Health Savings Account Options\n\n401(k)\n\nEquity\n\nSick Time, Unlimited Flexible Time Off, and Paid Holidays\n\nPaid Parental Leave\n\nPre‑Tax Commuter Benefit Plan\n\nTeam lunch in our SoMa office every Tuesday and Thursday\n\nBenefits are subject to change at the company's discretion. Pronto accepts applications on an ongoing basis.\n\n#J-18808-Ljbffr","company":"Cssmerge","rawCompany":"cssmerge","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:53:48.652Z","occupations":[{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"},{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Robotics Test Engineer","description":"Who we are\nPronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field.\n\nWe are on a mission to make mining operations safer, smarter, and more efficient through cutting‑edge technology, and we are building toward becoming the world’s first profitable AV technology company.\n\nWhat you’ll do\n\nTest Platform & Infrastructure — Design and build the core test infrastructure: harnesses, fixtures, runners, orchestration, and test artifact management for our ZMQ/Cap'n Proto middleware stack\n\nSimulation-Based Testing — Build the simulation infrastructure that lets us run autonomy software against virtual scenarios, with deterministic playback and meaningful coverage of real-world conditions\n\nCI/CD for Robotics — Build and maintain the testing pipeline that gates code changes – unit, integration, simulation, and replay-based regression – and integrate it cleanly into the developer workflow\n\nLog Replay & Recorded Scenario Testing — Build infrastructure that converts production logs into reproducible test cases the QA Engineer can curate and the dev team can run\n\nWhat we’re looking for\n\n3+ years of software engineering experience, with significant work on testing infrastructure, developer tools, or distributed systems\n\nStrong Python – you’ll write substantial code, much of it touching production‑adjacent infrastructure\n\nExperience designing and building automation pipelines (CI/CD, test orchestration, build systems)\n\nDeep familiarity with at least one large‑scale software platform – comfortable thinking in terms of APIs, abstractions, and platform usability\n\nExcellent debugging and systems thinking – you’ll be reasoning about failures across simulation, networking, serialization, and CI infrastructure\n\nComfort building greenfield – much of what you’ll work on does not exist today\n\nPreferred Qualifications\n\nExperience with robotics, autonomous vehicles, or other safety‑critical systems\n\nHands‑on experience with simulation environments (Gazebo, CARLA, Isaac Sim, or proprietary)\n\nFamiliarity with pub/sub messaging systems (ZMQ, ROS, DDS) and binary serialization formats (Cap'n Proto, Protobuf)\n\nC++ familiarity – enough to read and integrate against the autonomy stack\n\nCloud infrastructure experience for parallel test execution (AWS/GCP, Kubernetes)\n\nExperience with hardware‑in‑the‑loop testing or real‑time systems\n\nPerformance engineering background – you’ve debugged and optimized slow CI/test pipelines before\n\nTechnical Environment\n\nLanguages: Python\n\nTest Frameworks: pytest, simulation‑based\n\nInfrastructure: Docker, GitHub Actions, cloud compute for simulation\n\nCommunication/Documentation: Slack, Notion\n\nExample Projects\n\nBuild a simulation harness that runs the full autonomy stack against parameterized mining scenarios in cloud‑based parallel execution\n\nDesign a log‑to‑test‑case pipeline that ingests a production log fragment and produces a deterministic replay test the QA Engineer can add to a regression suite\n\nBuild a test platform dashboard that surfaces flaky tests, slow tests, and coverage gaps to the QA Engineer and developer lead\n\nWhy join us\n\nWork on real, production‑deployed autonomy.\n\nBuild technology that directly improves safety, efficiency, and productivity.\n\nTackle complex challenges in demanding, real‑world environments.\n\nBe part of a fast‑moving team with high ownership and impact.\n\nSee your work deployed and making a difference in the field.\n\nCollaborate closely with experienced engineers and industry operators.\n\nWhat else you need to know\nThis role is based in our San Francisco office location. All of our office‑based teams work onsite, five days a week.\n\nCompensation\nBase salary range: $298,000 - $376,000 per year.\n\nActual compensation will be determined on an individual basis and may vary based on experience, skills, and qualifications.\n\nBase salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance‑based bonus.\n\nBenefits Summary (USA Full‑Time Exempt Employees)\n\nMedical, Dental, Vision, Disability, and Life Insurance\n\nFlexible Spending Account / Health Savings Account Options\n\n401(k)\n\nEquity\n\nSick Time, Unlimited Flexible Time Off, and Paid Holidays\n\nPaid Parental Leave\n\nPre‑Tax Commuter Benefit Plan\n\nTeam lunch in our SoMa office every Tuesday and Thursday\n\nBenefits are subject to change at the company's discretion. Pronto accepts applications on an ongoing basis.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:53:48.652Z","dateModified":"2026-07-16T03:53:48.652Z","hiringOrganization":{"@type":"Organization","name":"Cssmerge","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e2ac549e6b043c0a781313d8"},"url":"https://jobsearcher.com/jobs/e2ac549e6b043c0a781313d8"}}