Endereço Introduction
IBMResearch Scientists are charting the future of Artificial Intelligence,creatingbreakthroughs inquantum computing,discoveringhow blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science tosome of today's most complex challenges, whether it’s discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service. Your Role and Responsibilities
As a Research Software Engineer at IBM Research, you will play a pivotal role in driving the development, testing, and implementation of cutting-edge AI and Cloud technologies. In this specific position, your responsibilities will span across various aspects of Software Engineering, including design, construction, and evaluation of software technologies to advance our Cloud-based AI platform. In this role, you will have the opportunity to work on exciting research initiatives, assess the potential applications of emerging AI and Cloud technologies, and showcase the value of these technologies to both IBM's businesses and strategic partners. You will be part of a diverse and inclusive team of researchers and engineers, working together to push the boundaries of Cloud-based AI platforms. **Todas as nossas vagas são elegíveis para pessoas com deficiência ou reabilitadas.** Required Technical and Professional Expertise
- Strong programming skills in commonly used programming languages, such as Java, Golang, Python, C++, and Rust.
- Demonstrated experience in developing and testing middleware or cloud-based distributed systems.
- Demonstrated experience with Github, CI/CD and other DevOps technologies.
- Strong communication skills.
- Fluent level of English
- Demonstrated experience with OpenShift/Kubernetes and related technologies, such as platform observability, minikube, Kubernetes Operator SDK, OLM (Operator Lifecycle Manager).
- Demonstrated experience with PyTorch and related technologies.
- Demonstrated experience in end-to-end testing of cloud-based systems.
- Demonstrated experience with GPTQ/AWQ quantizers.
- Demonstrated experience with development of PyTorch hardware backends.
