Sofar is on a mission to connect the world’s oceans. We design, build, and deploy the largest privately owned network of marine weather sensors to power the world’s best marine weather forecasts. Our data helps our customers to increase efficiency and reduce emissions, delivering tools to governments and other stakeholders to understand impacts of climate change on extreme weather and ocean health. We live on Planet Ocean, and our goal is to create the ocean intelligence needed to ensure a sustainable future.
About The Position:
Sofar is committed to the health of the Earth and the Earth’s oceans. Sofar’s marine weather forecasts help maintain safety at sea, and support the reduction of global shipping emissions through Sofar’s Wayfinder application. Sofar’s software stack is built entirely on the cloud, which enables seamless transition between research and operations. That means your contributions can be transitioned to benefit real-time operational forecasts in a timeline measured by months rather than years.
Sofar is looking for new team members to help us advance the frontiers of numerical weather prediction (NWP) and produce industry leading forecasts over the global oceans. We are building a world class NWP team, spanning model development, to data assimilation, to operational forecasting. The team is a close collaboration between scientists and software engineers focused on creating Sofar’s next-generation operational marine weather forecast system.
Responsibilities:
- Contribute to the development of an operational global weather forecast system.
- Own software development and scientific guidance for components related to focus area(s) of expertise.
- Engage in scientific discussions, problem solving, and setting team vision and goals.
- Publish scientific results in peer-reviewed journals.
About You:
- Ph.D. (or masters plus 5+ years experience) in a science, engineering, or related analytical field
- Has in-depth knowledge of at least one key component of operational weather forecasting ranging from R&D to real-time applications, for example:
- Modeling of the atmosphere, waves, or ocean
- Data assimilation
- Observation processing, impact assessment, and QA/QC
- AI/ML-based pre- and post-processing
- Operational meteorology
- Proficiency in Python and a compiled software language like Fortran, C, or C++
- Has experience with high performance computing (HPC), either dedicated systems or on the cloud
Estimated Salary Range
- $117,000 - $154,000
- The range listed is what we reasonably expect to pay for this role at the time of this posting. We may ultimately pay more or less than the posted range and may be modified in the future. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, experience, and equity package.
Sofar's Commitment to Climate Justice
We at Sofar Ocean acknowledge that careers in the marine sciences “... have traditionally been, and remain, non-diverse work environments”, thereby limiting the entry and prosperity of underrepresented groups in the space. (Johri et al., 2021) Many of these same groups are disproportionately affected by climate change, and are often excluded from decision-making that directly address their interests and needs.
We are committed to addressing these climate injustices and highly encourage people who identify as women, LGBTQ+, Black, Indigenous, and people of color (BIPOC) to apply.
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.
Equal Employment Opportunity
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.
Top Skills
What We Do
Sofar builds accessible ocean sensing and exploration tools. The mission of the company is to connect the world’s oceans to provide insights to science, society and industry for a more sustainable planet.
