Job Description

Job Description

Job Description

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

Chef is an early-stage startup where equity is a major part of the compensation package. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.

In addition to salary and early-stage equity, we offer a comprehensive benefits package that includes medical, dental, and vision insurance, commuter benefits, flexible paid time off (PTO), catered lunch, and 401(k) matching.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Tags

Remote work, Flexible hours

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