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 Staff Software Engineer on the Managed AI team at Crusoe, 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 Development:
Lead the design and implementation of core AI services, including:
Resilient fault-tolerant queues for efficient task distribution.
Model catalogs for managing and versioning AI models.
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.
What You’ll Bring to the Team:
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 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.
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 $204,000 - $247,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants 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.
Top Skills
What We Do
Crusoe is on a mission to eliminate routine flaring of natural gas and reduce the cost of cloud computing. We are passionate about our goals to help the oil industry operate more efficiently, achieve better relationships with communities and regulators, and improve environmental performance. Crusoe repurposes otherwise wasted energy to fuel the growing demand for computational power in the expanding digital economy.
Why Work With Us
Crusoe has five core values with each value grounded in a set of actionable practices. The combination of philosophical values and actionable practices creates a decision-making framework for each employee to achieve success at Crusoe.
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