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:
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, includingareas such as speculative decoding, prefill–decode disaggregation, quantization, andkernel-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 ideasinto practical implementations, writing and optimizing performance-critical kernels, andimproving low-level execution efficiency on modern accelerators.
- Analyze real-world inference workloads, identify opportunities for efficiency andscalability improvements, and stay current with advances in ML systems and inferenceresearch, sharing findings through internal reports and external contributions whenappropriate.
- Define and contribute to the company road-map, impacting directly product andcustomers
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, kernelsoptimizations will be considered as advantages.
- Strong sense of ownership and the ability to drive ideas from concept through proof ofconcept.
- Independent individuals who thrive in challenging and ambiguous tasks with minimalsupervision.
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.
