Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research. Backed by General Catalyst, Kleiner Perkins and NEA.
About the role
As an early career Software Engineer, you’ll work on a variety of projects, from designing scalable systems, building product features, to optimizing performance-critical code. You’ll collaborate with cross-functional teams to build robust, user-focused solutions and contribute to our mission of delivering cutting-edge technology. This role is ideal for recent graduates with a strong foundation in software development and a passion for learning.
What they're looking for
- Actively pursuing a degree in Computer Science, Software Engineering, or a related field, earned or expected by Summer 2027
- Solid CS fundamentals (data structures, algorithms, systems thinking)
- Past hands-on experience through internships, personal projects, or previous roles
- Experience with version control systems (e.g., Git) and collaborative development workflows
- Ability to solve problems creatively and communicate trade-offs effectively
- Enthusiasm for learning and thriving in a fast-paced, collaborative environment
More about this role
As an early career Software Engineer, you’ll work on a variety of projects, from designing scalable systems, building product features, to optimizing performance-critical code. You’ll collaborate with cross-functional teams to build robust, user-focused solutions and contribute to our mission of delivering cutting-edge technology. This role is ideal for recent graduates with a strong foundation in software development and a passion for learning.
This role is on-site at our HQ in San Francisco, CA and you’ll be placed into one of our engineering teams spanning Machine Learning, Platform Engineering, Infrastructure, and Inference.
- Design, develop, and maintain high-quality software across our tech stack from low-level system to customer-facing UIs.
- Collaborate with product managers, designers, and engineers to deliver features and improvements.
- Take high autonomy over your work - own projects end to end
- Participate in code reviews, debugging, and performance optimization.
- Contribute ideas to shape the direction of our products and technical infrastructure.
- Work on real, meaningful projects and learn from experienced professionals along the way.
- Actively pursuing a...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area