Robotics Software Engineer III - Infrastructure

• Design and enable shared infrastructure supporting the end-to-end robotics software lifecycle: Source, Build, Test, Simulate, Deploy, Monitor.
• Standardize build systems and CI/CD pipelines across robotics software, embedded systems, and simulation environments.
• Define and manage artifact versioning strategies for software binaries, firmware, configuration, calibration data, maps, and vehicle-specific parameters.
• Establish platform standards, reference architectures, and best practices used across multiple product teams.
• Enable large-scale Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and regression simulation workflows.
• Integrate simulation results into CI pipelines with clear pass/fail criteria and reporting.
• Support scenario-based testing, coverage tracking, and regression analysis.
• Provide infrastructure and tooling to improve correlation between simulation results and real-world vehicle behavior in collaboration with simulation and vehicle integration teams.
• Design and evolve shared infrastructure supporting the lifecycle of machine learning models used in autonomy systems.
• Enable dataset versioning, lineage tracking, training reproducibility, and model promotion workflows.
• Define standards for model packaging, deployment to vehicles, runtime monitoring, and rollback mechanisms.
• Partner with perception and autonomy teams to enable safe and performant model deployment, while domain teams retain ownership of model design and performance outcomes.
• Build and maintain reliable pipelines for deploying software and models to development vehicles, test fleets, and production systems.
• Enable vehicle-level observability through logging, metrics, and distributed tracing.
• Support rapid diagnosis of field issues and feedback loops into development, testing, and simulation environments.
• Enable traceability for safety-critical systems, including the ability to identify what software, model, and configuration ran on a specific vehicle at a given time.
• Support functional safety requirements by enabling reproducible builds, preserving validation evidence, and supporting audits and certification activities (e.g., ISO 3691-4, ISO 13849).
• Collaborate closely with Functional Safety Engineering to ensure infrastructure aligns with compliance and certification needs.
• Act as a force multiplier for autonomy engineers by reducing duplicated tooling and infrastructure maintenance overhead.
• Make pragmatic trade-offs between development velocity, system reliability, and safety requirements.
• Mentor engineers on platform usage, infrastructure best practices, and scalable system design.
• Influence technical direction across teams without direct people management responsibility.
• Other duties and projects, as assigned.

• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or related field, required
• Master’s Degree or equivalent industry experience in robotics, autonomous systems, or distributed systems, preferred

Experience:

• 4 years of experience in software infrastructure, platform engineering, or DevOps position(s), preferred

Computer Skills:

• Hands-on experience with Linux-based systems and containerized environments, required
• Experience working with CI/CD systems, build tooling, and artifact management solutions, required
• Familiar with Bitbucket and Jira automation, preferred
• Practical experience with MLOps, including dataset and model versioning and deployment pipelines, preferred
• Familiar with robotics middleware such as ROS or ROS2, preferred
• Experience supporting complex, distributed, real-time, or hardware-integrated systems, required
• Proven ability to design and maintain systems used by multiple teams and products, preferred

Additional Requirements:

• Exposure to simulation-heavy environments or systems that integrate tightly with physical hardware.
• Experience in robotics, autonomous systems, or embedded software development, preferred
• Experience with SIL and HIL testing methodologies, preferred
• Experience working in safety-critical or regulated environments, preferred
• Understanding of vehicle systems, sensors, and real-world deployment constraints, preferred

Work Hours:

• Generally, 8:00 am - 5:00 pm with occasional irregular hours depending on workload.

Travel Requirements:

• Occasional (25%-50%) Travel may be required to support field testing and collaboration.

Compensation:

• This is a salary position paid biweekly.

ArcBest® (Nasdaq: ARCB) is a multibillion-dollar integrated logistics company that helps keep the global supply chain moving. Founded in 1923 and now with 14,000 employees across 250 campuses and service centers, the company is a logistics powerhouse, using its technology, expertise and scale to connect shippers with the solutions they need - from ground, air and ocean transportation to fully managed supply chains. ArcBest has a long history of innovation that is enriched by deep customer relationships. With a commitment to helping customers navigate supply chain challenges now and in the future, the company continues to invest in purpose-built technology such as ArcBest View , its digital logistics platform that brings quoting, booking, shipment visibility and reporting into one connected experience.