Jobright.ai
Staff Software Engineer, Vessel Performance Modeling
Jobright.ai - San Francisco, California, United States, 94199
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Staff Software Engineer, Vessel Performance Modeling
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Staff Software Engineer, Vessel Performance Modeling
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Jobright.ai Staff Software Engineer, Vessel Performance Modeling
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Staff Software Engineer, Vessel Performance Modeling
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Jobright.ai Sofar Ocean is on a mission to connect the world’s oceans by designing and deploying marine weather sensors. The Staff Software Engineer will develop a vessel performance modeling system, collaborating with data scientists and software engineers to enhance understanding of vessel interactions with the ocean, aiming for decarbonization and safer maritime navigation. 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. Qualifications: Required: • 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. • 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. Preferred: • Experience in vessel performance modeling in the shipping industry. • Experience in hydrodynamics or vessel dynamics. Company: Sofar Ocean is a build accessible ocean sensing and exploration tools for ocean enthusiasts, industry, and conservation. Founded in 2016, the company is headquartered in San Francisco, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Sofar Ocean has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Join to apply for the
Staff Software Engineer, Vessel Performance Modeling
role at
Jobright.ai Staff Software Engineer, Vessel Performance Modeling
2 days ago Be among the first 25 applicants Join to apply for the
Staff Software Engineer, Vessel Performance Modeling
role at
Jobright.ai Sofar Ocean is on a mission to connect the world’s oceans by designing and deploying marine weather sensors. The Staff Software Engineer will develop a vessel performance modeling system, collaborating with data scientists and software engineers to enhance understanding of vessel interactions with the ocean, aiming for decarbonization and safer maritime navigation. 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. Qualifications: Required: • 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. • 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. Preferred: • Experience in vessel performance modeling in the shipping industry. • Experience in hydrodynamics or vessel dynamics. Company: Sofar Ocean is a build accessible ocean sensing and exploration tools for ocean enthusiasts, industry, and conservation. Founded in 2016, the company is headquartered in San Francisco, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Sofar Ocean has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Software Engineer jobs in
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