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Remote Computational Solid Mechanics Jobs (NOW HIRING)

Ionis

Director, Computational Biology

Carlsbad, CA · On-site +1

... remote work environments a place where solid and lasting relationships are built and where our ... Propose targets with clear mechanistic hypotheses, building evidence packages that draw on ...

Cisco

Senior Hardware Engineer- (Remote)

Maitland, FL · On-site +1

$130K - $182K/yr

Design and execute DOEs/test vehicles and computational analyses to establish design guidelines and ... MS or PhD in Mechanical Engineering, Civil Engineering, Solid Mechanics, or Materials Science. * 5+ ...

Cisco

Senior Hardware Engineer- (Remote)

Maitland, FL · On-site +1

$130K - $182K/yr

Design and execute DOEs/test vehicles and computational analyses to establish design guidelines and ... MS or PhD in Mechanical Engineering, Civil Engineering, Solid Mechanics, or Materials Science. * 5+ ...

Cisco

Senior Hardware Engineer- (Remote)

Austin, TX · On-site +1

$130K - $182K/yr

Design and execute DOEs/test vehicles and computational analyses to establish design guidelines and ... MS or PhD in Mechanical Engineering, Civil Engineering, Solid Mechanics, or Materials Science. * 5+ ...

Cisco

Senior Hardware Engineer- (Remote)

Atlanta, GA · On-site +1

$130K - $182K/yr

Design and execute DOEs/test vehicles and computational analyses to establish design guidelines and ... MS or PhD in Mechanical Engineering, Civil Engineering, Solid Mechanics, or Materials Science. * 5+ ...

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How much do remote computational solid mechanics jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for remote computational solid mechanics in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is a Remote Computational Solid Mechanics job?

A Remote Computational Solid Mechanics job involves using computer simulations and numerical methods to analyze and predict the behavior of solid materials and structures, all while working from a remote location. Professionals in this role apply principles of mechanics, mathematics, and engineering, often using software like finite element analysis (FEA) tools to solve complex problems in industries such as aerospace, automotive, civil engineering, and materials science. Remote work allows these specialists to collaborate with teams and clients from anywhere, leveraging digital communication and computational resources. Key responsibilities can include modeling structures, running simulations, interpreting results, and generating technical reports.

What is the difference between Remote Computational Solid Mechanics vs Remote Finite Element Analyst?

AspectRemote Computational Solid MechanicsRemote Finite Element Analyst
Required credentialsEngineering degree, advanced math, programming skillsEngineering degree, proficiency in FEA software
Work environmentResearch labs, engineering firms, remote optionsDesign firms, manufacturing, remote options
Industry usageAutomotive, aerospace, civil engineeringProduct design, structural analysis, manufacturing

Remote Computational Solid Mechanics and Remote Finite Element Analyst roles share similar educational backgrounds and industry applications. However, Computational Solid Mechanics focuses more on developing and applying complex models for material behavior, while Finite Element Analysts primarily perform simulations using existing FEA software. Both roles often offer remote work options and require strong technical skills, but their core responsibilities differ in scope and focus.

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

To thrive as a Remote Computational Solid Mechanics Engineer, you need a strong background in mechanical engineering, finite element analysis (FEA), and solid mechanics, often backed by an advanced degree in engineering or a related field. Expertise with FEA software such as ANSYS, ABAQUS, or COMSOL, along with proficiency in programming languages like Python or MATLAB, is typically required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills for collaborating remotely and delivering accurate results. These skills ensure precise modeling, efficient virtual teamwork, and the successful execution of complex engineering projects from a distance.

What are some common challenges faced when working remotely in a Computational Solid Mechanics role?

Working remotely in Computational Solid Mechanics often involves navigating complex simulations and large data sets, which can require robust hardware and reliable internet connectivity. Collaboration with team members across different time zones can also be challenging, as projects typically involve interdisciplinary input from engineers, scientists, and software developers. To succeed, professionals should leverage effective communication tools, maintain clear documentation, and proactively address any technical limitations that may arise. Being disciplined with time management and staying updated on the latest computational methods are also key to overcoming these challenges.
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Remote Computational Solid Mechanics jobs near you
Infographic showing various Remote Computational Solid Mechanics job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, 6% Part Time, and 21% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Software Engineer, Finite Element Analysis & Structural Optimization

InfinitForm, Inc

Los Angeles, CA • On-site, Remote

Full-time

Posted 24 days ago

Job description

Full-time | Hybrid (LA / Orange County) or Remote
About InfinitForm
InfinitForm is building the Physical AI platform for engineering teams.
We help manufacturers generate production-ready designs dramatically faster by bringing simulation, optimization, manufacturability constraints, and editable parametric CAD into one workflow.
Today, engineering teams often spend months moving from concept to validated, manufacturable design. InfinitForm compresses that cycle from months to days - helping teams explore more design options, reduce late-stage rework, and bring better physical products to production faster.
Our platform is designed for aerospace, automotive, defense, robotics, and advanced manufacturing companies operating at the frontier of physical product development.
Backed by leading investors and built by pioneers in computational geometry, simulation, and advanced manufacturing, InfinitForm is defining a new category at the intersection of AI and engineering.
The Role
We're looking for a skilled and driven Finite Element Analysis & Structural Optimization Engineer to join our core engineering team. The seniority level for this role is flexible.
You'll work at the intersection of computational mechanics, simulation, optimization, and AI-native engineering workflows - helping build the core simulation and optimization infrastructure behind InfinitForm's platform.
This is a deeply technical, hands-on role focused on building high-performance systems for structural simulation and generative engineering. Your work will directly shape the algorithms and solvers powering a new generation of engineering software for the physical world.
You'll collaborate closely with researchers, computational engineers, geometry engineers, and product teams working on complex real-world problems across aerospace, automotive, defense, robotics, and industrial manufacturing.
What You'll Do
Simulation & Solver Development
  • Design, implement, and optimize finite element analysis (FEA) solvers and structural simulation pipelines
  • Develop high-performance simulation infrastructure for large-scale engineering optimization workflows
  • Improve solver stability, accuracy, scalability, and runtime performance
  • Build production-quality numerical software in C++ for scientific and engineering computation
  • Contribute to GPU-accelerated simulation and optimization systems
Structural Optimization & Research
  • Develop structural optimization algorithms including topology, shape, and sizing optimization
  • Work on sensitivity analysis, constraint handling, and optimization methodologies
  • Explore new approaches to simulation-aware and manufacturability-aware optimization
  • Contribute to research-oriented problem solving across engineering and computational geometry domains
  • Help bridge optimization outputs into production-ready CAD workflows
Technical Collaboration
  • Collaborate closely with Product, Research, and Application Engineering teams
  • Participate in technical architecture discussions, code reviews, and solver design decisions
  • Document technical findings and communicate complex ideas clearly across the team
  • Help shape the technical direction of InfinitForm's core engineering platform
What Success Looks Like
  • Meaningful improvements in optimization quality, manufacturability, and runtime performance
  • Technical contributions that directly improve customer outcomes and platform capability
  • Strong collaboration between simulation, geometry, and product engineering teams

What You'll Bring
  • MS or PhD in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computational Mechanics, Computer Science, or a related technical field, with a focus on FEA, structural optimization, numerical methods, simulation, or scientific computing
  • Strong foundation in finite element analysis, solid mechanics, and numerical methods
  • Deep understanding of structural optimization techniques including topology optimization and sensitivity analysis
  • Strong C++ experience for scientific, numerical, or high-performance computing applications
  • Strong mathematical and problem-solving skills
  • Ability to work independently on complex technical systems
  • Collaborative mindset and ability to communicate technical ideas clearly
  • Curiosity and excitement for solving difficult engineering and computational problems
Nice to Have
  • Experience with GPU computing (CUDA, OpenCL, or similar)
  • Familiarity with parallel computing or HPC environments
  • Background in computational geometry, CAD/CAE systems, or generative design
  • Experience with large-scale numerical optimization systems
  • Published research or advanced academic background in computational mechanics, simulation, or optimization
  • Experience working on production engineering software platforms

Why InfinitForm
  • Work on foundational technology shaping the future of engineering and manufacturing
  • Solve genuinely difficult computational and optimization problems with real-world impact
  • Work alongside a highly technical team including multiple PhDs across computational geometry, simulation, optimization, AI/ML, and advanced manufacturing
  • Help define a new category at the intersection of AI and engineering
  • Competitive compensation and meaningful equity

Apply