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$90

How much do remote nastran jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for remote nastran in the United States is $65.13, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $76.20 per hour, depending on experience, location, and employer.

What is the difference between Remote Nastran vs Remote Finite Element Analyst?

AspectRemote NastranRemote Finite Element Analyst
Required credentialsEngineering degree, Nastran certificationEngineering degree, FEA software proficiency
Work environmentRemote, engineering firms, aerospace, automotiveRemote, engineering consulting, manufacturing
Industry usageDesign, analysis, simulationStructural analysis, simulation, testing

Remote Nastran specialists focus on using Nastran software for structural analysis, often within aerospace and automotive industries. Remote Finite Element Analysts also perform structural simulations but may use various FEA tools beyond Nastran. Both roles require engineering backgrounds and work remotely for similar industries, but their specific software expertise and project focus differ slightly.

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

To thrive as a Remote Nastran Engineer, you need a solid background in mechanical or aerospace engineering, finite element analysis (FEA), and experience with Nastran software. Familiarity with technical tools like MSC Nastran, Patran, and other CAE platforms, as well as relevant certifications (such as in FEA or advanced simulation), is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills set top professionals apart in this field. These skills are essential for delivering accurate simulations, collaborating across distributed teams, and ensuring project success in a virtual environment.

What is a Remote Nastran job?

A Remote Nastran job involves using Nastran, a powerful finite element analysis (FEA) software, to perform simulations and analyze structural mechanics from a remote location. Professionals in this role use Nastran to model and solve engineering problems such as stress, vibration, and dynamic responses of structures, typically for industries like aerospace, automotive, and civil engineering. Working remotely, they collaborate with teams and clients online, prepare technical reports, and ensure that simulations meet project requirements. This job requires strong analytical skills, proficiency in engineering principles, and experience with Nastran or similar FEA software.

How does working remotely as a Nastran analyst impact collaboration with engineering teams and project timelines?

As a remote Nastran analyst, effective communication with engineering teams is crucial due to the technical complexity of finite element analysis projects. You'll often participate in virtual meetings, use collaborative platforms like Slack or Microsoft Teams, and share simulation results through cloud-based tools. While remote work offers flexibility, it also requires proactive coordination to align on project goals, clarify requirements, and address any model updates promptly. Staying organized and responsive helps maintain project timelines and ensures that your analysis integrates smoothly with broader engineering workflows.
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Remote Nastran jobs near you
Senior Solutions Engineer - FEA & Physics AI

Senior Solutions Engineer - FEA & Physics AI

Luminary Cloud

San Mateo, CA • On-site, Remote

$63 - $81.25/hr

Full-time

Posted 7 days ago

Job description

Full Time | Eligible for Hybrid, Remote


Solutions Engineers are the technical backbone of every Luminary AI opportunity. You\'ll partner with Account Executives to lead pre-sales engagements from first discovery call through pilot. We\'re hiring SEs grounded in a specific physics discipline — structural mechanics and FEA, in this role — who bring that depth to Physics AI use cases across our customer base. The role is technically heavy: most of your week will be in demos, validation studies, and surrogate model evaluation, with the rest spent on the commercial motion — qualification, scoping, proposals, and executive storytelling.


What you\'ll do in this Role:


  • Run discovery and qualification on new opportunities, translating customer pain into scoped Physics AI use cases
  • Build demos, benchmarks, and validation studies using Luminary generated data or customer data
  • Contribute to applied R&D in AI/ML for structural mechanics — evaluating new architectures, prototyping surrogate workflows, and stress-testing model performance on real customer geometries and load cases
  • Own the technical narrative in customer meetings — from engineer-level deep dives to VP/CTO storytelling
  • Collaborate with internal product and engineering teams to translate customer needs into Luminary platform enhancements
  • Present at customer sites and industry conferences to demonstrate Physics AI capabilities


What we\'re looking for:


A self-starter engineer with the ability to manage complex, multi-stakeholder technical evaluations. Primarily:

  • PhD in Mechanical, Aerospace, Civil Engineering, or related, 2-5 years of post-PhD experience in structural simulation, technical sales, or applied research
  • Hands-on FEA expertise — stress analysis, fatigue, vibration/NVH, composites, or nonlinear statics — with fluency in commercial solvers (Abaqus, ANSYS Mechanical, Nastran, or similar)
  • Experience with explicit dynamics for crash, impact, or drop-test simulation
  • Working knowledge of Physics AI and ML surrogates (neural operators, GNNs, transformers for PDEs)
  • Python proficiency for scripting, automation, and API/SDK workflows
  • Strong commercial instincts — you can read a room, qualify fast, and tell a clean technical story to a non-technical buyer
  • Willingness to travel (~25%) to customer sites across North America


Ways to Stand Out:


  • Background working with aerospace, automotive, defense, or industrial manufacturing customers
  • Experience with open-source FEA (CalculiX) or topology optimization workflows
  • Experience with PyTorch and frameworks like PhysicsNeMo, Modulus, or equivalent
  • Experience with HPC environments and cloud computing platforms


Eligibility: This role is limited to U.S. Persons. Candidates must be based in the United States and satisfy all listed requirements. This position is not eligible for visa sponsorship now or in the future.


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