Path Robotics

Path Robotics

Software Engineer, Fleet Engineering

Columbus, Ohio · Mid · Contract

Sponsorship not specifiedDetected 16 days ago
PythonNode.jsGitAWSCloud PlatformsDockerKubernetesTerraformAnsibleCI/CDGitHub ActionsDevOpsJiraConfluenceAccount ManagementRoboticsTest AutomationCollaboration

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

8 transfer filings in the last year, covering 8 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.
  • If you are passionate about solving complex, real-world robotics problems and eager to shape the future of manufacturing, we want to hear from you.
  • We encourage unique thinking and are dedicated to creating a diverse and inclusive environment.

Responsibilities

  • Platform Development: Build and scale configuration management processes to support our robotic fleet.
  • Fleet Orchestration: Design and maintain OTA (Over-the-Air) software deployment systems to ensure seamless updates across our robotic assets.
  • Identity & Access: Support the migration and management of enterprise-level AuthN and AuthZ for internal and external applications.
  • Observability: Implement and enhance robotics observability tooling (e.g., Foxglove) to improve robot-to-cloud integration and monitoring.
  • Incident Management: Develop automated incident reporting and escalation tooling to proactively identify and resolve production issues.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • 2+ years of experience in production support, development, and DevOps practices.
  • Infrastructure Pro: You are proficient in managing cloud environments (AWS) and understand the complexities of multi-account deployments.
  • Robotics Enthusiast: You are excited by the challenge of moving data between robots and the cloud.
  • Security-Minded: You have experience with Enterprise AuthN/AuthZ and understand the importance of secure identity management at scale.

Skills

  • Build the Path Forward

Benefits

  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6-8 weeks for birthing parents (12-14 weeks total)
  • 401(k) retirement plan through Empower

Company info

  • At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
  • If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.
  • Regulatory and Compliance Requirements
  • This position may support work performed under U.S. Government contracts and requires compliance with applicable federal regulations, including FAR and DFARS where applicable. The role may involve access to export-controlled information subject to ITAR and/or EAR. Candidates must be able to comply with U.S. export control regulations, which may include meeting the definition of a "U.S. Person" where required. This position may also involve handling Controlled Unclassified Information (CUI) and requires adherence to company and federal data protection and confidentiality standards. Employment may be contingent upon successful completion of a background check consistent with applicable requirements.
  • At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
  • If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com.
  • We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience.
  • We will respond to your request within 48 hours.
  • This position may support work performed under U.S. Government contracts and requires compliance with applicable federal regulations, including FAR and DFARS where applicable.
  • The role may involve access to export-controlled information subject to ITAR and/or EAR.
  • Candidates must be able to comply with U.S. export control regulations, which may include meeting the definition of a "U.S. Person" where required.
  • This position may also involve handling Controlled Unclassified Information (CUI) and requires adherence to company and federal data protection and confidentiality standards.

Visa & Work Authorization

  • export control regulations, which may include meeting the definition of a "U.S. Person" where required
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This listing is sourced directly from Path Robotics's careers page and normalized into a canonical job model.