Senior Staff Software Engineer, Managed AI

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.

About This Role:

As a Senior Staff Software Engineer on the Managed AI team in the TLV office at Crusoe, you'll have a pivotal role in shaping the architecture, scalability and performance of our soon to be top of the market AI inference platform. You will lead the design and implementation of core systems for our AI services, focusing on solving AI workloads top problems - scheduling, prefill and decode. This role gives you the opportunity to build, scale and implement solutions for infrastructure capable of handling millions of API requests per second across thousands of customers.

From day one, you'll own critical subsystems for managed AI inference, helping to serve large language models (LLMs) to a global audience. As part of a dynamic, fast-growing team, you’ll collaborate cross-functionally, influence the long-term vision of the platform, and contribute to cutting-edge AI technologies. This is a unique opportunity to build a high-performance AI product that will be central to Crusoe's business growth.

What You’ll Be Working On:

• Design and Development:
• Lead the design and implementation of core AI services, including:
• Scheduling mechanisms optimized for cost and performance.
• High-performance APIs for serving AI models to customers.
  
  
• Scalability and Performance:
• Build and scale infrastructure to handle millions of API requests per second.
• Optimize AI inference performance on GPU-based systems.
• Implement robust monitoring and alerting to ensure system health and availability.
• Collaboration and Innovation:
• Collaborate closely with product management, business strategy, and other engineering teams.
• Influence the long-term vision and architectural decisions of the AI platform.
• Contribute to open-source AI frameworks and participate in the AI community.
• Prototype and iterate on new features and technologies.
  
  

• Strong Engineering Fundamentals:
• Advanced degree in Computer Science, Engineering, or a related field.
• Demonstrable experience in distributed systems design and implementation.
• Proven track record of delivering early-stage projects under tight deadlines.
• Expertise in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc.
• AI/ML Expertise:
• Experience in Generative AI (Large Language Models, Multimodal).
• Familiarity with AI infrastructure, including training, inference, and ETL pipelines.
• Software Engineering Skills:
• Experience with container runtimes (e.g., Kubernetes) and microservices architectures.
• Experience using REST APIs and common communication protocols, such as gRPC.
• Demonstrated experience in the software development cycle and familiarity with CI/CD tools.
• Preferred Qualifications:
• Proficiency in Rust or Golang or Python for large-scale, production-level services.
• Contributions to open-source AI projects such as VLLM or similar frameworks.
• Performance optimizations on GPU systems and inference frameworks.
• Personal Attributes:
• Proactive and collaborative approach with the ability to work autonomously.
• Strong communication and interpersonal skills.
• Passion for building cutting-edge AI products and solving challenging technical problems.