2 часа назад
Software Engineer, DevOps (Robotics)
115 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, DevOps (Robotics) (Kubernetes/Docker/CI/CD): Building and operating cloud-native and edge infrastructure, CI/CD pipelines, and observability for distributed robotics and AI systems with an accent on reliability, scalability, and developer workflows. Focus on optimizing containerized deployments, supporting real-hardware field systems, and solving complex infrastructure challenges across robotics, ML, and platform engineering.
Location: Irvine, California, United States; on-site
Salary: $115,000–$170,000 per year
Company
develops risk-aware, field-ready embodied AI systems for real robots, sensors, and deployments in unstructured environments.
What you will do
- Build and maintain CI/CD pipelines for robotics, AI, and software systems using GitHub Actions.
- Design and manage cloud-native, containerized infrastructure with Kubernetes, Docker, and related technologies.
- Deploy and support workloads across cloud and edge environments.
- Improve developer workflows through automation, tooling, and infrastructure enhancements.
- Support testing, packaging, deployment, and observability for distributed robotics and AI systems.
- Optimize build systems, monorepos, and deployment workflows while collaborating with robotics, ML, and platform engineering teams.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 3–7 years of experience in DevOps, Platform Engineering, Cloud Infrastructure, SRE, or related roles.
- Strong experience with Kubernetes, Docker, cloud-native infrastructure, and CI/CD systems.
- Strong scripting or programming skills in Python, Bash, Go, or similar languages.
- Solid understanding of Linux systems, networking, and distributed systems fundamentals.
- Strong problem-solving skills and ability to work across multidisciplinary teams.
Nice to have
- Experience with robotics, autonomous systems, IoT, edge computing, MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines.
- Familiarity with ROS, Terraform, Helm, ArgoCD, or related infrastructure tooling.
- Experience managing large monorepos, build systems, developer platforms, observability, and reliability systems.
- Kubernetes certifications such as CKA, CKAD, or CKS.
- Bias for action and comfort working in fast-moving, ambiguous environments.
Culture & Benefits
- Work with real robots and sensors, testing systems on hardware and improving them through field deployments.
- Collaborate with teams across AI, software, robotics engineering, product, field deployment, and technical communication.
- Work alongside colleagues in Irvine, across the United States, and around the world.
- Inclusive workplace with hiring and employment decisions based on merit, qualifications, and performance.
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