Staff Software Engineer, AI
Goodleap- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates must have an advanced degree in Computer Science, Engineering, or a related field. They should possess demonstrable experience in distributed systems design and implementation, along with a proven track record of delivering early-stage projects under tight deadlines. Expertise in using cloud-based services, such as elastic compute and managed databases, is required. Applicants should also have experience in Generative AI, familiarity with AI infrastructure, and software engineering skills including experience with container runtimes and REST APIs. Proficiency in Golang or Python is preferred, along with contributions to open-source AI projects and performance optimizations on GPU systems.
The Senior Staff Software Engineer will lead the design and implementation of core AI services, including resilient fault-tolerant queues and model catalogs. They will build and scale infrastructure to handle millions of API requests per second and optimize AI inference performance on GPU-based systems. The role involves collaborating closely with product management and engineering teams, influencing the long-term vision of the AI platform, and contributing to open-source AI frameworks.
Utilizes wasted energy for computing power
Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.