Lead Scientific EngineerProgrammer

Join a forefront innovator in simulation software, specializing in complex water resource and environmental systems. In this pivotal role, you will spearhead the development of cutting-edge modeling enhancements, driving forward our advanced simulation frameworks.

**Key Responsibilities:**

- **Numerical Innovation & Algorithm Development:** Lead the ownership of numerical methods to elevate our modeling capabilities.
- **Model Creation & Verification:** Assemble and validate models to ensure accuracy and reliability in results.
- **Comprehensive Documentation & Knowledge Sharing:** Develop detailed documentation and facilitate the transfer of knowledge across the team.
- **Collaborative Integration & Support:** Collaborate with the engineering team to incorporate and optimize numerical innovations. Cooperate with the founding engineer to define modeling and quality assurance procedures.
- **Advancement through AI & Algorithm Modernization:** Utilize machine learning to enhance traditional simulation methods and explore potential modernization of current algorithmic structures.

**Essential Qualifications:**

- A Master's or PhD in science or engineering with an excellent academic track record.
- Extensive knowledge in applied mathematics and numerical methodologies for complex problem-solving.
- Background in earth sciences or civil engineering, preferably with experience in contaminant transport modeling.
- Proficiency in C++ programming, with a focus on scientific or engineering applications; experience with numerical libraries is advantageous.
- Demonstrated expertise in developing pragmatic numerical solutions for real-world challenges.
- Strong communication skills with a passion for effective collaborative work.
- Familiarity with Windows desktop application development is beneficial, along with proficiency in data science tools such as MATLAB, R, or Tableau.
- Prior experience applying AI/ML approaches within scientific or engineering domains is highly desirable.