Design, implement, and maintain cloud infrastructure and deployment systems for robotics. Build containerized, scalable deployments, CI/CD and IaC pipelines, remote update mechanisms, monitoring, and secure real-time data pipelines to improve performance, reliability, and operational visibility across customer environments.
Chef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production—a sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1M projected by 2030. These roles cannot be offshored, making robotics essential to keeping production onshore and strengthening America’s manufacturing base. Backed by investors like Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and supported by a world-class team from companies such as Cruise, Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a mission to put an intelligent robot in every commercial kitchen.
About the Role
As a Senior Software Engineer, Cloud Platform at Chef Robotics, you'll be responsible for designing, implementing, and maintaining the cloud infrastructure and deployment systems that power our robotics platform. You'll focus on provisioning robots for seamless deployment, enabling remote software updates to enhance performance and reliability, and developing cloud infrastructure that supports real-time robotics operations. This role requires expertise in cloud platforms, containerization, and infrastructure automation to ensure scalable and reliable deployment of our robotics systems across customer environments.
Cloud Infrastructure & Deployment
- Design and implement cloud infrastructure to support robotics platform deployment and operations
- Provision robots for seamless deployment across diverse customer environments
- Enable remote software updates to enhance performance and reliability of deployed systems
- Implement containerization (Docker) and orchestration (Kubernetes) for scalable deployments
- Manage cloud infrastructure across AWS, GCP, or Azure platforms
System Reliability & Performance
- Improve the performance and reliability of cloud services supporting the Chef system
- Implement fault-tolerant design patterns to ensure reliability in production environments
- Establish performance benchmarks and optimize systems to meet latency requirements for robotics operations
- Implement comprehensive logging, monitoring, and alerting for cloud infrastructure
- Create diagnostic tools and dashboards for operational visibility
DevOps & Automation
- Implement CI/CD practices and infrastructure-as-code principles
- Develop automated deployment pipelines for robotics software and services
- Create and maintain deployment scripts and configuration management systems
- Establish version control and rollback mechanisms for system updates
- Develop tools for consistent environment provisioning and management
Data Pipeline & Integration
- Maintain secure and efficient data pipelines between on-device and cloud services
- Implement systems to support real-time communication between robotics systems and cloud infrastructure
- Design cloud architecture that supports telemetry data collection and processing
- Ensure secure authentication and authorization mechanisms across cloud services
Required Qualifications - Technical Expertise
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 5+ years of professional experience in cloud infrastructure and DevOps roles
- Expert knowledge of cloud infrastructure and deployment (AWS, GCP, or Azure)
- Strong proficiency with containerization (Docker) and orchestration (Kubernetes) technologies
- Extensive experience with CI/CD practices and infrastructure-as-code principles
- Experience with system monitoring, logging, and performance optimization
- Understanding of secure data pipeline design and implementation
Domain Knowledge
- Understanding of infrastructure requirements for robotics or automation systems
- Experience with real-time or near-real-time systems and cloud architecture
- Background in developing reliable systems with high availability requirements
- Knowledge of deployment automation and configuration management
- Familiarity with system performance optimization including latency and scalability
Personal Attributes
- Strong problem-solving skills with a systematic approach to infrastructure challenges
- Excellence in technical communication and documentation
- Proactive mindset in identifying potential issues and implementing solutions
- Comfort with working in a fast-paced startup environment
- Passion for robotics and automation technology
- Collaborative approach to cross-functional engineering teams
Desired Qualifications
- Experience with robotics hardware deployment and management
- Knowledge of ROS (Robot Operating System) or similar frameworks
- Experience with time-series databases for telemetry data
- Familiarity with message queue systems for distributed systems
- Background in manufacturing, food production, or industrial automation
- Experience with WebSockets for real-time communication
- Knowledge of Redis for caching and distributed system patterns
Key Projects You'll Work On
- Provisioning robots for seamless deployment across customer sites
- Implementing remote software update systems for deployed robotics fleets
- Improving the performance and reliability of cloud services supporting the Chef system
- Building automated deployment pipelines for robotics software
- Developing monitoring and diagnostic tools for distributed robotics operations
Top Skills
AWS
Azure
Ci/Cd
Docker
GCP
Infrastructure As Code
Kubernetes
Message Queue Systems
Monitoring And Logging
Redis
Ros
Time-Series Databases
Websockets
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