Cloud AI Architect

2 weeks ago

San Francisco, California, United States Crusoe Full time
Crusoe - Building the Future of Cloud Infrastructure

We are pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications.

Crusoe is redefining AI cloud infrastructure with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance.

We are seeking an experienced Senior/Staff Software Engineer to lead the design and implementation of core systems for our AI services, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance.

This role gives you the opportunity to build and scale infrastructure capable of handling millions of API requests per second across thousands of customers.

About the Role

You will have a pivotal role in shaping the architecture and scalability of our next-generation AI inference platform. As part of a dynamic, fast-growing team, you will 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.

A Day In the Life
  • You will play a crucial role in building the infrastructure to serve artificial neural networks and large language models (LLMs) at scale.
  • You will own the design and implementation of key subsystems for resiliency and quality of service.
  • You will work closely with cross-functional teams, including product management and business strategy, to develop a customer-facing API that serves real-world AI models.
Your Skills and Qualifications
  • 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.
  • Experience with Generative AI (Large Language Models, Multimodal).
  • 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.
Growth Opportunities
  • Shape the foundation of a cutting-edge, customer-facing AI inference platform.
  • Become a technical leader in performance optimization and AI infrastructure.
  • Collaborate with partners like Intel and NVIDIA on pushing the limits of AI performance.
  • Contribute to open-source AI frameworks and gain visibility in the AI community.
  • Take on leadership roles as the team scales, with opportunities to mentor junior engineers and influence the product roadmap.
Benefits
  • Hybrid work schedule.
  • Industry-competitive pay ($183,000 - $250,000)
  • Restricted Stock Units in a fast-growing, well-funded technology company.
  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents.
  • Employer contributions to HSA accounts.
  • Paid Parental Leave.
  • Paid life insurance, short-term and long-term disability.
  • Teladoc.
  • 401(k) with a 100% match up to 4% of salary.
  • Generous paid time off and holiday schedule.
  • Cell phone reimbursement.
  • Tuition reimbursement.
  • Subscription to the Calm app.
  • MetLife Legal.
  • Company-paid commuter benefit; $50 per pay period.

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