Robotics Infrastructure Engineer - Platform & MLOps

ArcBest | Vaux

Fort Smith (AR)

On-site

USD 110,000 - 160,000

Full time

38 hours ago
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Job summary

ArcBest is seeking a Robotics Software Engineer III - Infrastructure to design scalable infrastructure across the full autonomous software lifecycle, from source to deployment and field observability.

You will standardize CI/CD pipelines, manage artifact/versioning for software, firmware, and ML models, and support SIL/HIL testing with tools that tie simulation results to real-world vehicle behavior. Collaboration with perception and simulation teams is essential.

Qualifications

  • Bachelor's degree in CS, robotics, EE, or related field required.
  • Master's degree or equivalent in robotics, autonomous systems, or distributed systems preferred.
  • 4 years of experience in software infrastructure, platform engineering, or DevOps preferred.
  • Hands-on with Linux-based systems and containerized environments required.
  • Experience with CI/CD systems, build tooling, and artifact management required.
  • Familiar with Bitbucket and Jira automation preferred.
  • ML Ops experience including dataset and model versioning and deployment pipelines preferred.
  • Familiar with ROS or ROS2 preferred.
  • Experience with distributed, real-time, or hardware-integrated systems required.
  • Ability to design and maintain cross-team infrastructure.

Responsibilities

  • Design and enable shared infrastructure for end-to-end robotics software lifecycle.
  • Standardize build systems and CI/CD pipelines across robotics software and simulation.
  • Define artifact versioning for binaries, firmware, maps, and vehicle parameters.
  • Establish platform standards and reference architectures.
  • Enable SIL/HIL and regression simulation workflows and integrate results into CI.
  • Support scenario-based testing, coverage tracking, and regression analysis.
  • Provide tooling to improve correlation between simulation and real-world vehicle behavior.
  • Evolve ML model infrastructure including dataset and model versioning and deployment.
  • Define model packaging, deployment, monitoring, and rollback standards.
  • Collaborate with perception and autonomy teams for safe deployment.

Education

Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or related field
Master's Degree or equivalent in robotics, autonomous systems, or distributed systems

Tools

Linux
Docker / containerized environments
CI/CD systems
Bitbucket
Jira automation
ROS/ROS2
Artifact management

Job description

ArcBest is seeking a Robotics Software Engineer III - Infrastructure to design scalable infrastructure across the full autonomous software lifecycle, from source to deployment and field observability.

You will standardize CI/CD pipelines, manage artifact/versioning for software, firmware, and ML models, and support SIL/HIL testing with tools that tie simulation results to real-world vehicle behavior. Collaboration with perception and simulation teams is essential.

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