Senior 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 The Crusoe Cloud Managed AI team seeks an ambitious and experienced Senior Software Engineer to join their team. You'll have a pivotal role in shaping the architecture and scalability of our next-generation AI inference platform. You will 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. 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. This is an on‑site role based in San Francisco, CA, or Sunnyvale, CA, requiring in‑office presence. What You’ll Be Working On Design and develop core infrastructure for the Managed AI platform: Lead the design and implementation of resilient fault‑tolerant queues, model catalogs, and scheduling mechanisms. Build and optimize systems for high‑volume AI inference, handling millions of API requests per second. Develop and maintain core services for AI model deployment and management. Collaborate with cross‑functional teams: Work closely with product managers, data scientists, and other engineers to define and deliver AI services. Integrate with other Crusoe Cloud services to provide a seamless user experience. Collaborate with research and development teams to explore and implement new AI technologies. Ensure high availability and performance: Design and implement systems with high availability, low latency, and fault tolerance. Optimize performance across all stages of the AI inference pipeline, including model loading, execution, and response handling. Continuously monitor and improve the performance and reliability of AI services. What You’ll Bring to the Team Strong Engineering Foundations: Advanced degree in Computer Science, Engineering, or a related field. Proven experience in distributed systems design and implementation. Expertise in using cloud‑based services, such as elastic compute, object storage, virtual private networks, managed databases, etc. 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. AI/ML Expertise: Experience in Generative AI (Large Language Models, Multimodal). Technical Skills: Proficiency in Golang or Python for large‑scale, production‑level services. (Preferred) Familiarity with AI infrastructure, including training, inference, and ETL pipelines. (Preferred) Contributions to open‑source AI projects such as VLLM or similar frameworks. (Preferred) Performance optimizations on GPU systems and inference frameworks. (Preferred) Soft Skills: Proven track record of delivering early‑stage projects under tight deadlines. Strong communication and collaboration skills. Proactive and results‑oriented with the ability to work independently and as part of a team. Passion for building high‑quality, scalable, and impactful products. Bonus Points Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Knowledge of machine learning algorithms and data structures. Experience with data streaming and real‑time processing technologies. Contributions to open‑source projects outside of AI. Benefits Industry competitive pay 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; $300 per month Compensation Compensation will be paid in the range of $166,000 - $201,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr Crusoe Energy Systems