Senior Research Software Development Engineer, MSR AI for Science

Requirements

• Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics, or a related field.
• Strong familiarity with Linux and the open-source ecosystem.
• Proficient working with large datasets in a cloud or HPC environment.
• Proficient in building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
• Strong analytical, problem-solving, and communication skills.
• Passionate about pushing the boundaries of science.
• Experience with open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm) is a plus.
• Experience with Materials Science (in particular Density Functional theory) is a plus.

Responsibilities

• Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data.
• Build and optimize distributed data processing and model building pipelines.
• Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions.
• Collaborate with cross-functional teams, including scientists, researchers, and software engineers.
• Document and share best practices across the organization.
• Maintain the highest standards in code quality and software design.

Perks and Benefits

• Opportunity to be at the forefront of AI-driven scientific research.
• Work with a global team focusing on transformative scientific modeling and discovery.
• Engage in real-world impact on pressing global issues such as climate change, green energy, and more.