
About Crusoe
Sustainable AI cloud solutions for a greener future
Key Highlights
- Headquartered in Denver, Colorado
- 501-1000 employees focused on AI and renewable energy
- First vertically integrated AI cloud platform
- Committed to sustainable computing practices
Crusoe is a pioneering AI cloud platform headquartered in Denver, Colorado, that utilizes clean, renewable energy to power its operations. The company focuses on providing scalable computing resources for AI and machine learning applications, serving a diverse range of clients across various industr...
🎁 Benefits
Crusoe offers competitive salaries, equity options, generous PTO, and a flexible remote work policy to support work-life balance....
🌟 Culture
Crusoe fosters a culture centered on sustainability and innovation, encouraging employees to contribute to environmentally friendly computing solution...
Skills & Technologies
Overview
Crusoe is hiring a Senior to Senior Staff Solutions Engineer to lead the deployment of AI/ML workloads on high-performance GPU infrastructure. You'll work closely with enterprise customers and require deep technical expertise in Kubernetes and MLOps.
Job Description
Who you are
You have extensive experience in solutions engineering, particularly in deploying AI and ML workloads on cloud infrastructure. Your technical expertise in Kubernetes and MLOps allows you to guide customers through complex deployments, ensuring they achieve optimal performance and scalability. You are comfortable in customer-facing roles and excel at translating technical concepts into actionable insights for clients.
You are passionate about AI infrastructure and have a strong understanding of containerized environments. Your ability to work collaboratively with engineering teams and customers alike makes you a critical voice in the deployment process. You thrive in dynamic environments where innovation and sustainability are at the forefront of technology.
What you'll do
In this role, you will lead the technical onboarding and deployment of complex AI/ML workloads with strategic enterprise customers. You will own the proof of concept (PoC) process and optimize workloads post-sale, ensuring that customers derive maximum value from Crusoe's high-performance GPU infrastructure. Your responsibilities will include architecting and deploying ML workloads using Kubernetes-based stacks such as Ray and Kubeflow, while also designing infrastructure that balances performance, scalability, and efficiency.
You will serve as a liaison between customers and engineering teams, providing critical feedback and insights that drive product improvements. Your role will involve not just technical deployment but also fostering strong relationships with clients to ensure their ongoing success with our solutions. You will be at the forefront of Crusoe's mission to accelerate the abundance of energy and intelligence through responsible cloud infrastructure.
What we offer
At Crusoe, you will be part of a team that is setting the pace for transformative cloud infrastructure. We offer a collaborative work environment where innovation is encouraged, and your contributions will have a tangible impact on the AI revolution. You will have the opportunity to work with cutting-edge technology and be part of a mission-driven company focused on sustainability and responsible energy use.
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