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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 customers increase efficiency and reduce emissions, while providing governments and other stakeholders with tools to better understand and operate in the ocean environment.
We live on Planet Ocean, and our goal is to create the ocean intelligence needed to ensure a sustainable future.
We are looking for an experienced Senior Software Engineer to work on maritime route optimization, vessel performance modeling, and voyage analysis capabilities for U.S. Government and defense customers.
This is a hands-on software engineering role working directly on the software that models vessel performance and evaluates candidate maritime routes.
Depending on the problem, you may be refining optimization algorithms, translating vessel performance and fuel-consumption models into software, building simulation and evaluation tooling, or improving how route recommendations are scored and explained.
You’ll work on problems involving:
Maritime voyage optimization and route evaluation
Vessel performance and fuel-consumption modeling across varying operating and environmental conditions
Voyage constraints, transit time, fuel efficiency, and operational considerations
Optimization algorithms and the software that supports them
Simulation and evaluation capabilities used to understand optimizer behavior and route quality
Clear, explainable results that allow users to understand and evaluate optimization recommendations
You’ll contribute to both existing Sofar technology and new software developed for government maritime applications as these capabilities evolve.
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Maritime route optimization means balancing competing considerations: fuel consumption, transit time, vessel performance, environmental conditions, voyage constraints, and operational needs.
You’ll collaborate with engineers, product experts, and maritime domain specialists to translate those real-world problems into practical software solutions.
Your work will focus on the core engineering behind voyage analysis and optimization — improving models, algorithms, simulation capabilities, and the software that connects them — with the goal of producing recommendations that are useful, understandable, and defensible.
Our optimization, modeling, and simulation software includes Rust and Python . You may work across both high- and low-level languages while contributing to algorithms, models, services, APIs, testing, and related software components.
This position supports U.S. Department of Defense customers. Candidates should be comfortable working on technology used in defense and military applications. Previous defense experience is not required.
U.S. citizenship is required for this position
Must be able to successfully pass a background check
We don’t expect candidates to arrive with maritime route optimization experience.
Relevant experience may come from robotics, logistics, aerospace, autonomy, transportation, scientific computing, operations research, simulation, or other domains involving optimization of physical systems.
What matters is your ability to take complex real-world problems and translate them into software that can model, evaluate, and help solve them.
These are helpful, but not requirements:
A degree in physics or a related technical field
Experience developing optimization, modeling, or simulation software for real-world systems
Maritime or naval domain experience
Previous experience supporting U.S. Government or Department of Defense customers
A personal connection to or passion for the oceans!
We know great candidates don’t always check every box. If this role interests you and you believe your experience translates well to the problems we’re working on, we encourage you to apply.
Sofar Ocean is a privately held ocean-intelligence company providing marine data and voyage optimization to maritime operators.
Visit company websiteJobs and hiring trendsUSD 140000-180000 yearly / year
Full-time
Senior · 5+ years experience
Remote
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