Software Engineer - Infrastructure

Highlights

• Build core infrastructure powering production AI for leaders like Cursor and Notion.
• Work on multi-cloud capacity, multi-node inference, and fractional GPU serving.
• Help shape platform engineers rely on to ship cutting-edge AI products.

What they offer

• Competitive compensation including meaningful equity (U.S. only)
• 100% coverage of medical, dental, and vision for employee and dependents
• Flexible PTO including company-wide Winter Break
• Paid parental leave
• Fertility and family-building stipend through Carrot (U.S. only)
• Company-facilitated 401(k)
• Exposure to a variety of ML startups for learning and networking

Ideal candidate

A collaborative engineer passionate about ML infrastructure who loves building reliable, high-performance systems and learning quickly in a fast-moving, mission-driven team.

Requirements

• Bachelor's degree or higher in Computer Science or related field
• Proficient coding in one or more popular programming or scripting languages
• Working knowledge of Kubernetes and containerization
• Basic understanding of machine learning concepts and model serving
• Familiarity with distributed systems concepts
• Experience with basic monitoring and logging tools
• Interest in ML/AI infrastructure and willingness to learn
• Strong collaboration and communication skills