Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role:

We are looking for a Research Engineer to help design, evaluate, and productionize next generation AI inference systems. In this role, you will work at the intersection of applied research and real-world deployment, developing techniques that improve performance, efficiency, reliability, and cost of large-scale inference workloads.

You will collaborate closely with systems engineers, ML engineers, and infrastructure teams to drive research ideas toward impactful applications in real-world environments.

What You'll Be Working On:

• Research, implement, and evaluate state-of-the-art techniques for AI inference, including areas such as speculative decoding, prefill–decode disaggregation, quantization, and kernel-level optimizations, with a focus on real-world customer use cases.
• Design and run experiments to understand trade-offs across latency, throughput, cost, and quality, and use these insights to guide system and model design decisions.
• Build and iterate on high-performance inference prototypes by translating research ideas into practical implementations, writing and optimizing performance-critical kernels, and improving low-level execution efficiency on modern accelerators.
• Analyze real-world inference workloads, identify opportunities for efficiency and scalability improvements, and stay current with advances in ML systems and inference research, sharing findings through internal reports and external contributions when appropriate.
• Define and contribute to the company road-map, impacting directly product and customers
  
  
  

What You'll Bring to the Team:

• Strong background in computer science, machine learning, or systems research.
• Ability to reason about performance at scale and work with real-world constraints.
• Comfortable collaborating across research, product and engineering teams.
• Familiarity with model inference concepts such as batching, quantization, kernels optimizations will be considered as advantages.
• Strong sense of ownership and the ability to drive ideas from concept through proof of concept.
• Independent individuals who thrive in challenging and ambiguous tasks with minimal supervision.
  
  
  

Benefits:

Crusoe also offers a competitive benefits package designed to support financial security, health, and overall well-being. Our benefits are tailored to local market standards and include core offerings such as pension contributions and additional perks to support work-life balance.

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.