
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+ 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. Your deep 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 to non-technical stakeholders.
Your passion for AI infrastructure drives you to stay updated with the latest technologies and best practices. You thrive in containerized environments and have a strong understanding of cloud platforms, enabling you to effectively manage and optimize workloads across different infrastructures. You are a proactive problem solver who enjoys tackling challenges head-on and finding innovative solutions.
Desirable
Experience with additional cloud services and tools is a plus, as is familiarity with various AI frameworks. You may also have a background in software development, which enhances your ability to collaborate with engineering teams and contribute to product improvements.
What you'll do
In this role, you will lead the technical onboarding and deployment of AI/ML workloads for strategic enterprise customers. You will own the proof of concept (PoC) process, ensuring that customers are set up for success from the start. Your responsibilities will include architecting and deploying ML workloads using Kubernetes-based stacks, such as Ray and Kubeflow, while balancing performance, scalability, and efficiency.
You will serve as a critical technical voice between customers and engineering teams, facilitating communication and ensuring that customer needs are met. Your role will involve optimizing workloads post-sale, providing ongoing support, and helping customers navigate the complexities of AI infrastructure. You will also contribute to internal projects aimed at enhancing the overall customer experience and improving deployment processes.
What we offer
At Crusoe, you will be part of a mission-driven team focused on accelerating the abundance of energy and intelligence. We offer a collaborative work environment where innovation is encouraged, and your contributions will have a tangible impact on the future of AI technology. You will have opportunities for professional growth and development, as well as the chance to work with cutting-edge technologies in a rapidly evolving industry.
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