Software Engineer: Infrastructure and Tools

Location: Irvine, California, United States; on-site

Salary: $125,000–$170,000 per year

Company

Develops embodied AI systems for real robots, sensors, and field deployments, combining learning systems with rigorous robotics engineering.

What you will do

• Design, build, and maintain CI/CD pipelines, build systems, monitoring tools, and deployment frameworks.
• Develop scalable solutions for service reliability, observability, performance, and fault tolerance.
• Collaborate with development teams to optimize infrastructure for high availability.
• Automate infrastructure provisioning and management using Ansible or similar tools and infrastructure-as-code practices.
• Monitor system performance, troubleshoot issues, and improve uptime, security, and operational efficiency.
• Maintain best practices in system design, security, and code quality.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
• 3+ years of experience in software engineering, DevOps, or infrastructure roles.
• Strong programming or scripting skills in Python, TypeScript, or similar languages.
• Experience with AWS, GCP, or Azure and container orchestration.
• Familiarity with infrastructure-as-code tools such as AWS CDK.
• Knowledge of monitoring and logging systems, networking, Linux, and security best practices.

Nice to have

• Experience with robotics infrastructure, ROS, real-time systems, or sensor integration.
• Exposure to distributed systems and microservices architectures.
• Background in site reliability engineering practices.

Culture & Benefits

• Work with real robots, hardware, and sensors in field deployment environments.
• Collaborate across AI, software, robotics engineering, product, field deployment, and technical communication teams.
• Work in an inclusive environment that evaluates candidates and employees based on merit, qualifications, and performance.
• Systems are developed for explainable, safe, and dependable real-world autonomy.