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Remote Ocean Modeling Jobs in Oregon (NOW HIRING)

Remote Ocean Modeling information

What are the key skills and qualifications needed to thrive as a Remote Ocean Modeler, and why are they important?

To thrive as a Remote Ocean Modeler, you need a solid background in oceanography, mathematics, and computational modeling, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python, MATLAB, or Fortran), high-performance computing, and specialized modeling software like ROMS or HYCOM is typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills distinguish top performers in this role. These competencies are vital for accurately simulating ocean dynamics, interpreting complex data, and collaborating with multidisciplinary teams in remote settings.

What is remote ocean modeling?

Remote ocean modeling is the practice of using computer simulations and mathematical models to study and predict ocean behaviors—such as currents, temperature, and tides—from a location that is not physically at sea. Professionals in this field analyze data remotely, often leveraging satellite observations, remote sensors, and advanced software to create accurate models of oceanic processes. These models are crucial for understanding climate change, supporting marine navigation, managing fisheries, and forecasting weather events. Remote ocean modeling enables researchers and organizations to monitor and assess the health of the oceans without the need for constant on-site measurements.

What are some common challenges faced by remote ocean modelers, and how can they be addressed?

Remote ocean modelers often encounter challenges such as coordinating with multidisciplinary teams across different time zones, managing large datasets, and ensuring reliable computational resources from offsite locations. To address these, it's important to establish clear communication protocols, utilize collaborative platforms for code and data sharing, and have access to secure, high-performance computing environments. Proactively scheduling regular virtual meetings and leveraging cloud-based modeling tools can also help maintain workflow efficiency and team cohesion.

What is the difference between Remote Ocean Modeling vs Remote Marine Data Analyst?

AspectRemote Ocean ModelingRemote Marine Data Analyst
Required CredentialsDegree in Oceanography, Marine Science, or related fields; experience with modeling softwareDegree in Marine Science, Data Science, or related; proficiency in data analysis tools
Work EnvironmentResearch institutions, environmental agencies, or private companies; focus on modeling simulationsData-focused roles in research, consulting, or government agencies; emphasis on data interpretation
Industry UsageUsed for climate prediction, ocean circulation studies, and environmental impact assessmentsApplied in marine resource management, policy advising, and environmental monitoring

Remote Ocean Modeling involves creating simulations of ocean processes using specialized software, primarily for research and environmental applications. In contrast, Remote Marine Data Analysts focus on analyzing marine data sets to derive insights and support decision-making. Both roles require strong analytical skills and relevant scientific backgrounds but differ in their core activities and software tools used.

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What cities in Oregon are hiring for Remote Ocean Modeling jobs? Cities in Oregon with the most Remote Ocean Modeling job openings:

Senior Guidance, Navigation, and Control (GNC) Engineer

Panthalassa

Portland, OR • On-site, Remote

$200K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

About the Company

We are a renewable energy and ocean technology company committed to rapidly developing and deploying technologies that will ensure a sustainable future for Earth by unlocking the vast energy potential of its oceans. Our focus is on capturing civilizational levels of ultra-low-cost renewable energy for applications including computing and affordable renewable fuels delivered to shore.

The company is a public benefit corporation headquartered in Portland, Oregon and backed by leading venture capitalists, philanthropic investors, university endowments, and private investment offices. We operate as an idea meritocracy in which the best ideas change the company's direction on a regular basis.

About the Job

Our core technology is the Node, a device that produces energy in the ocean's harshest conditions for years without human maintenance or intervention. To operate autonomously in the open ocean, the Node must sense its own state, navigate through dynamic currents, shifting weather, and unpredictable sea states, and steer itself reliably over multi-year deployments.

As a Senior GNC Engineer on the Core Electronics & Software team, you'll work across the full Guidance, Navigation, and Control stack to make that possible: supporting the development of control architecture and algorithms while building out the higher-level guidance and navigation layers, always with an eye toward making autonomy perform reliably in the real ocean. Fluency across the whole discipline is essential, but your specialty will be state estimation and navigation, where we're looking for the greatest depth.

You'll work closely with Systems Engineering, CFD, Fleet, and Marine Ops to translate mission requirements into navigation and control interfaces, validation plans, and production software and hardware we can ship. You'll be part of a small team that we expect to grow, and you'll have the opportunity to help shape and mentor it as it does.

Responsibilities

  • Design, develop, and tune state estimation, navigation, and control algorithms for the Node across its full envelope of operating conditions.
  • Build high-fidelity Node physics models and simulation environments (SIL/HIL) to validate estimator, navigation, and controller performance across operating conditions and edge cases.
  • Identify plant dynamics and disturbance models from experimental, HIL, and field data, and use them to inform estimator and controller design and validate model fidelity.
  • Lead root cause analysis and resolution of field issues related to navigation and steering behavior, turning real-world data into estimator and controller improvements and calibration updates.

Required Qualifications

  • Experience with control and estimation/navigation design and implementation.
  • Strong Python for design and analysis as well as production on-target code. Fluency in systems programming languages (C/C++/Rust) to understand the implementation and assist in diagnosing issues.
  • Experience designing for failure modes and multi-year unattended endurance: power/energy-aware, comms-loss-tolerant, sensor-health-aware autonomy and safe-modes.
  • Experience with HIL/SIL verification and experimental validation (wave tank, model testing).
  • A genuine ownership instinct and hands-on approach for deployed systems, including field and remote diagnosis.
  • BS, MS, or PhD in Mechanical Engineering, Aerospace / Aeronautical Engineering, Electrical Engineering, or a related field, or equivalent depth of experience in production-level GNC system (typically 5-7+ years).

Desired Qualifications

  • Experience working on dynamic positioning / station keeping AUVs, underwater gliders, or other long-endurance autonomous vehicles.
  • At-sea/field operations experience.

We encourage you to apply even if you do not meet every desired qualification. If you are a strong engineer motivated by building resilient, high-quality, mission-critical onboard systems, we want to hear from you.

Compensation and Benefits

If hired for this full-time role, you will receive:

  • Cash compensation of $200,000 - $280,000.
  • Equity in the company. We're all owners and if we're successful, this equity should be far and away the most valuable component of your compensation.
  • A benefits package that helps you take care of yourself and your family, including:
    • Flexible paid time off
    • Health insurance (the company pays 100% of gold level PPO plan for full time employees, their partners, and dependents)
    • Dental insurance (the company pays 100% for full time employees and 100% for their partners and dependents)
    • Vision insurance (the company pays 100% for full time employees, their partners, and dependents)
    • Disability insurance (the company pays 100% for a policy to provide long term financial support if you become disabled)
    • Ability to contribute to tax-advantaged accounts, including 401(k), health FSA, and dependent care FSA
  • Relocation assistance to facilitate your move to Portland (if needed).

Location

This role can be remote, with quarterly travel to our Portland, Oregon office. Portland is where we have offices, lab, and shop space, and where a lot of the real-world debugging happens.