Research Software Engineer, Accelerated Discovery

Introduction

IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some 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

The work location for this role is either Daresbury Labs or Hursley Labs for a minimum of 2 days a week.

An Accelerated Discovery Software Engineer collaborates with other engineers, scientists, and other team members to design, code, test, document, and support industry-leading solutions that make scientific discovery faster. Applicants should have prior experience with or be able to master the tools and techniques for building, deploying, operating, and supporting large scale hybrid cloud platforms, services, and applications, based on Kubernetes. Particular challenges include optimizing demanding workloads with large, distributed data sets, heterogeneous computation platforms, and operational requirements for industry, as well as regulated data on public and private infrastructure.

Specific responsibilities include:

• Work closely with other team members to refine product roadmaps, including specific features and release plans.
• Work closely with other team members to refine platform architecture and design, as well as the DevOps processes used to create, deploy, and manage software.
• Work with minimal supervision and sometimes work collaboratively with other team members to deliver high-quality work in an efficient manner.

Required Technical and Professional Expertise

• BS/BA degree in a technical field, or equivalent experience.
• Demonstrated experience in a professional software engineering role using one or more programming language ecosystems.
• Demonstrated ability to organize, prioritize, and multi-task in a fast paced, changing, and agile development environment to meet deadlines.
• Effective written and verbal communication and interpersonal skills.

Preferred Technical and Professional Expertise

Any of the following additional skills are highly desirable.

• Experience developing software with Python, Go, or JavaScript/TypeScript and their ecosystems of tools and libraries.
• Experience with cloud-native environments, such as AWS (S3, lambda, CloudTrails, etc) or other cloud vendors.
• Experience with Kubernetes.
• Experience with DevOps in a Software as a Service (SaaS) environment.
• Experience in a data science or data engineering environment.
• Experience with AI/ML, Quantum Computing, or High Performance Computing (HPC).
• Experience in scientific research or software engineering for research.