Remote Full Stack Engineer, Scientific Modeling Tools

Description:

• Terra AI is building a state-of-the-art AI platform for the discovery and development of clean energy and mineral resources.
• The company utilizes advanced techniques in generative AI, foundation modeling, and autonomous decision optimization to address significant challenges in geosciences.
• The role involves professionalizing and extending internal modeling tools used to generate subsurface outputs.
• The candidate will enhance software built around scientific workflows to make it robust, maintainable, and easier to run, inspect, and extend.
• The position requires bridging product-quality engineering with scientific computing, with a focus on GIS execution and automation.
• The team is establishing a durable foundation for various scientific domains, including geophysics and reservoir simulation.

Requirements:

• Candidates must have strong software engineering fundamentals and a proven ability to take ownership of complex codebases.
• Proficiency in production-grade Python is required.
• Candidates should be comfortable working in Julia or be willing to learn quickly.
• Experience in designing APIs, handling configuration, and building reliable execution paths for complex workflows is necessary.
• Familiarity with performance profiling and optimization tooling is required.
• Candidates should have experience with ML frameworks at an integration level, preferably PyTorch, with TensorFlow or JAX also being relevant.
• Experience with orchestration or workflow tooling such as Flyte, Prefect, Dagster, or equivalent in-house patterns is necessary.

Benefits:

• The opportunity to work with a cutting-edge AI platform focused on clean energy and mineral resources.
• The chance to collaborate closely with domain experts and contribute to impactful scientific projects.
• A dynamic work environment as the team grows from approximately 15 to 30 members.
• The potential for professional growth and development in a rapidly evolving field.
• The ability to work primarily in Python and Julia, enhancing technical skills in these programming languages.