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San Francisco, California, United States
Onsite
About Us
Gimlet is building the first multi-silicon neocloud designed for fast, efficient inference.
As AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together.
Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.
We work with foundation labs, hyperscalers, and AI-native companies to power production workloads at massive scale and help define the infrastructure layer for the future of AI. This gives our team access to systems research problems grounded in frontier models, cutting-edge production workloads, and emerging hardware architectures.
Gimlet Labs is seeking a Member of Technical Staff (Intern) to help develop Gimlet’s platform for deploying and monitoring AI workloads. In this role, you will be applying the latest AI techniques to develop frameworks to help generate and optimize AI workloads. You will contribute to Gimlet’s novel compilation framework for partitioning and orchestrating AI workloads across diverse hardware environments. You will design and implement scalable systems that can run production workloads of millions of requests a second.
Building, deploying and scaling AI systems for production
Evaluating and implementing cutting-edge AI research
Researching ways to improve model accuracy, performance and efficiency
Currently pursuing degree in computer science, engineering, or comparable area of study
Experience with AI/ML or distributed systems.
Experience with PyTorch, TensorFlow, ONNX and other AI frameworks
Familiarity with distributed systems and orchestration frameworks (e.g., Kubernetes)
Software development experience with Python and C++
Understanding of the latest AI research and techniques
Why join now?
Gimlet is at the very beginning of its journey, and that's what makes this moment special. Most AI infrastructure companies are focused on deploying more compute. We are focused on making increasingly diverse compute work together, and that ambition touches every part of how we build and run this company.
As an early member of the team, you will have significant ownership over your work, partner directly with a small group of highly capable people, and help shape not just what we build, but how we scale the company.
We value people who are excited to work across domains, take ownership of meaningful problems, and help define what Gimlet becomes over the next several years.
Agency Policy: Gimlet Labs does not accept unsolicited resumes from recruitment agencies or search firms. Any unsolicited resumes submitted without a signed agreement will be considered the property of Gimlet Labs, and no fees will be paid.
