Sofar is looking to improve its vessel performance modeling system to better understand how vessels interact with the ocean environment, aiming to enable decarbonization, cost savings, and safer maritime navigation.
Requirements
- 10+ years of experience building production-grade modeling or simulation systems utilizing a hybrid of physics and data methods.
- Strong programming skills in Python and a system level language such as C++ or Rust.
- Track record of designing and owning large-scale modeling pipelines, preferably in real-world noisy data environments.
- Skilled at balancing scientific rigor with practical engineering constraints.
- Experience in vessel performance modeling in the shipping industry.
- Experience in hydrodynamics or vessel dynamics.
Responsibilities
- Architect and engineer robust, scalable systems for modeling vessel performance under real-world conditions, including hydrodynamics, engine characteristics, weather impacts, and operational constraints.
- Set technical strategy and modeling direction in collaboration with Product teams to meaningfully impact our customers daily operations.
- Lead the development of hybrid models that combine physical simulation with machine learning and observational data from ships and sensors.
- Ensure models are well-tested, explainable, and production-ready, enabling reliable integration into customer-facing applications and APIs.
- Mentor team members and establish best practices for the balance of physical modeling, numerical methods, product scope and system reliability.
Other
- Excellent communication skills, you can work across disciplines and explain complex systems to varied audiences.
- A physics or natural sciences undergraduate experience or equivalent.
- Passionate about the ocean, sustainability, and making a tangible impact on climate and logistics.
- It is the responsibility of every employee to contribute to a positive work environment through cooperative and professional interactions with co-workers, customers, and vendors.
- All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.
