5+ years in DevOps/SRE/platform/infra with ownership of production systems
Proficient in programming languages such as Python, C++, Rust, or Go
Strong knowledge of software engineering best practices and design patterns
Experience with Docker and containerized environments
Familiarity with software build systems for cloud and embedded systems
Expertise in procedural CI/CD and build artifact delivery systems
Comfortable operating in a Linux environment
Self-starter with a proactive attitude towards ambiguity and prioritization
Excellent communication skills for cross-functional collaboration
Responsibilities
Maintain and enhance the CI/CD pipeline, focusing on monitoring and iterative improvements
Manage and sustain the infrastructure for build artifacts and dependencies storage
Develop and optimize cloud and GPU infrastructure to support research and software tasks
Enhance MLOps training and deployment paths, including model registry and rollout processes
Improve infrastructure observability for better monitoring
Implement security measures and facilitate multi-tenancy capabilities
Benefits
Opportunities for professional development and growth
Collaborative work environment with a focus on innovation
Access to cutting-edge technology and resources
Flexible work arrangements and supportive company culture
Full Job Description
Responsibility:
Maintain and improve our CI/CD pipeline: instrument and monitor our CI jobs, and iteratively improve on it.
Manage and maintain infrastructure around build artifacts and dependencies storage.
Build and improve on our cloud and GPU cluster, and create essential devops infrastructure to support our daily research and software development effort.
Improve our MLOps training and deployment path: checkpoint registry/DB, model artifact promotion, and rollout to inference/robot endpoints.
Improve our infrastructure observability.
Harden security & multi-tenancy
Qualifications
5+ years in DevOps / SRE / platform / infra, with ownership of production systems.
Proficient in a programming language such as Python, C++, Rust, Go
Strong knowledge of software engineering best practices and design patterns
Experience with docker and containerized environments
Experience with software build systems for cloud infrastructure and embedded systems.
Experience with procedural CI and CD, and build artifact delivery (OTA update) system.
Comfortable with operating in Linux environment
Self-starter mentality - comfortable with ambiguity, able to prioritize independently, and willing to jump in wherever needed
Effective communication skills; able to work cross-functionally in a fast-moving team
Preferred Qualifications
Knowledge of industrial communication protocols (EtherCAT, Modbus, gRPC, etc.)
Experience with ML Ops
Understanding of networking fundamentals (TCP/IP, DNS, firewalls) and security best practices for embedded IoT devices
Knowledge with kubernetes and cloud system orchestration
