Design and maintain the cloud infrastructure for deploying intelligent robotics systems, enabling remote updates and ensuring operational reliability.
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
