Member of Engineering (Agent Sandboxes) - Poolside

About Poolside

Poolside exists to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them.

About Our Team

We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year.

Our team is a multidisciplinary blend of research, engineering, and business experts. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has.

About the Role

You will be part of our Platform engineering team focusing on our sandboxed agent execution environment to accelerate experimentation and foundation model training. In service of our evaluation and training teams, you will design, develop and operate services and systems that enable running agent sessions in a rich and safe environment at scale (100s of thousands to millions of environments). You will also explore and evaluate different isolation techniques and improve the reliability and performance of the systems behind the execution environment.

Your Mission

Deliver a secure, reliable and performant sandboxed Agent execution environment to meet both the research and product needs at Poolside.

Responsibilities

• Design and develop a sandboxed execution environment to facilitate Agent research and product development at Poolside.
• Own the complete development cycle of new features and capabilities in the Agent execution environment.
• Collaborate with other teams to discuss, guide and meet their needs in the sandbox and code execution environment.
• Continuously improve reliability and performance of the Agent execution environment.

Skills & Experience

• Strong programming skills, especially in Go, Python, or other systems programming languages.
• Comfortable with distributed systems, or bring solid battle scars and real-world experience.
• Experience in Kubernetes or similar container/vm orchestration systems and familiarity with public clouds like AWS, GCP, etc.
• Experience in designing and building distributed systems.
• Experience in virtualization or container runtime.
• Experience in building large scale CI/CD platforms.
• Plus: Experience building systems to support large scale machine learning workloads.

Benefits

• Fully remote work & flexible hours
• 37 days/year of vacation & holidays
• Health insurance allowance for you & dependents
• 16 weeks of flexible, full-pay parental leave
• Company-provided equipment
• Well-being, always-be-learning & home office allowances
• Frequent team get-togethers
• Diverse & inclusive people-first culture