Senior Software Engineer, Cloud Platform

About Our Team

Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI’s biggest impact will be in the physical world, given industries like manufacturing, food, and transportation represent 90% of global GDP. We're starting with food, with a goal to put an intelligent robot in every commercial kitchen in the world. We have signed multiple multi-year contracts with various large food companies and we are growing fast. We're backed by investors like Kleiner Perkins, Construct, Bloomberg BETA and Promus Ventures. We have a great team, where you will be surrounded by talented engineers and tech leaders from companies like Cruise, Zoox, Google, Verb Surgical, Tesla, Nuro, Vicarious, Amazon Robotics, Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft.

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.

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

Equal Opportunity Employer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, sex, gender identity and expression, sexual orientation, national origin, ancestry, citizen status, uniform service member and veteran status, marital status, age, pregnancy status, protected medical condition, genetic information, disability, or any other protected status.

Multiple studies have found that a higher percentage of women and BIPOC candidates won't apply if they don't meet every listed qualification. Chef values candidates of all backgrounds. If you find yourself excited by our mission but you don't check every box in the description, we encourage you to apply anyway!

Salary : $150,000 - $240,000