DevOps Software Engineer
Field AIIrvine, CA
On-site Full-time
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Experience Level
Experience
Qualifications
Proficient in cloud services (AWS, Azure, or Google Cloud) and infrastructure as code tools (Terraform, CloudFormation). Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Strong knowledge of container orchestration (Docker, Kubernetes). Familiarity with scripting languages (Python, Bash). Understanding of networking, security, and monitoring best practices. Excellent problem-solving skills and a collaborative mindset.
Field AI is revolutionizing the way robots engage with the physical world. Our focus is on developing risk-aware, dependable, and field-ready AI systems that tackle the most challenging issues in robotics, thereby realizing the full potential of embodied intelligence. We transcend conventional data-driven methodologies and purely transformer-based frameworks, forging a unique path with globally deployed solutions that yield tangible results and rapidly enhance models through real-world applications.
We are in search of a talented and enthusiastic DevOps Engineer to become a vital member of our engineering team. In this pivotal role, you will be responsible for designing, constructing, and maintaining the infrastructure and automation that drive our development and deployment processes. You will collaborate closely with robotics, machine learning, and software engineers to ensure the reliability of CI/CD pipelines, scalability of infrastructure, and efficiency of development operations. This is a thrilling opportunity to contribute to building robust systems that support complex robotics and AI tasks in a dynamic environment.
About Field AI
Field AI is at the forefront of transforming robotic interactions with the real world. Our innovative approach integrates advanced AI systems that are both dependable and capable of real-world application, setting new standards in the robotics industry.
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