Senior Software Engineer

As a Senior member of Antares' Software Engineering team, you will take a prominent role in developing our in-house multiphysics simulations: the design, development, and deployment of critical features that allow the company to build end to end predictions of all the applicable physics of nuclear reactors. You'll be a technical leader, collaborating closely with scientists and engineers from others disciplines to bring complex products to life.

Roles & Responsibilities:

- Collaborate with Mechanical, Nuclear, Structural, Thermal, and Systems Engineers to construct multi-physics simulation tools

- Design, develop, and deploy high-quality, performant, and scalable data-intensive applications using Python

- Write clean, well-documented, and secure code that everyone can contribute to.

- Implement unit tests, integration tests, and help shepherd the frameworks that run them.

- Debug, troubleshoot, and resolve technical issues in a timely and efficient manner.

Basic Qualifications:

- 5+ years of industry experience in software or physics modeling

- 3+ years of strong proficiency in Python

- Systems design and architecture mastery of data intensive applications

- Experience with Git and CI/CD pipelines

- Familiarity with Python-based scientific computing libraries (Pandas, NumPy, HDF5, Matplotlib)

Preferred Skills & Experience:

- Excellent communication, collaboration, and problem-solving skills

- A passion for building high-quality software for end users and a desire to learn and grow

- Professional experience with stochastic simulation frameworks, computational geometry, and/or numerical methods

- Additional language and framework experience up the stack (JS/TypeScript/Ruby/Rails/Django)

- Additional language and framework experience down into firmware (C/++/Go/Embedded/RTOS)

- Track record of working within your company to develop valuable, effective internal tools

- Experience working on software for hardware products

- Cloud platforms (e.g., AWS, GCP, Azure) and Cloud Compute

- DevOps principles and Infrastructure as a Service