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Entry Level Computational Mechanics Engineer Jobs

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Computational Physicist

San Leandro, CA · On-site

Stay up to date with advancements in computational techniques, programming languages, and physical ... Strong foundation in theoretical physics, including knowledge of quantum mechanics, classical ...

The Pennsylvania State University

A Ph.D. degree in Mechanical Engineering, Solid Mechanics, Materials Science and Engineering ... computational mechanics * A strong publication record, preferably including at least three first ...

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Entry Level Computational Mechanics Engineer information

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$17

$33

$54

How much do entry level computational mechanics engineer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for entry level computational mechanics engineer in the United States is $33.20, according to ZipRecruiter salary data. Most workers in this role earn between $26.92 and $37.50 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Computational Mechanics Engineer vs Mechanical Design Engineer?

AspectEntry Level Computational Mechanics EngineerMechanical Design Engineer
Required CredentialsBachelor's in Mechanical Engineering, Civil Engineering, or related field; basic knowledge of FEA softwareBachelor's in Mechanical Engineering or related; proficiency in CAD software
Work EnvironmentResearch labs, engineering firms, R&D departmentsDesign studios, manufacturing companies, product development teams
Employer & Industry UsageEngineering consulting, aerospace, automotive, civil engineeringConsumer products, industrial equipment, automotive, aerospace
Common Search & ComparisonYesYes

Entry Level Computational Mechanics Engineers focus on analyzing and simulating physical systems using computational tools, often working with finite element analysis (FEA). Mechanical Design Engineers primarily develop and refine product designs using CAD software. While both roles require a mechanical engineering background, the computational mechanics role emphasizes simulation and analysis, whereas the design role centers on creating and optimizing physical products.

More about Entry Level Computational Mechanics Engineer jobs
What are the most commonly searched types of Computational Mechanics Engineer jobs? The most popular types of Computational Mechanics Engineer jobs are:
What states have the most Entry Level Computational Mechanics Engineer jobs? States with the most job openings for Entry Level Computational Mechanics Engineer jobs include:
What job categories do people searching Entry Level Computational Mechanics Engineer jobs look for? The top searched job categories for Entry Level Computational Mechanics Engineer jobs are:
Entry Level Computational Mechanics Engineer jobs near you
Infographic showing various Entry Level Computational Mechanics Engineer job openings in the United States as of July 2026, with employment types broken down into 19% Locum Tenens, 2% Internship, 58% Full Time, 20% Part Time, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $69,055 per year, or $33.2 per hour.

Research Scientist, ML Systems

Elliot Partnership

New York, NY • On-site

Full-time

Posted 13 days ago

Job description

  • Research Scientist, ML Systems (HPC & Systems Optimization)
  • New York, NY (Hybrid, 3 days in office)
  • Highly competitive compensation package

Join an elite technology and research group at the forefront of global finance, where world-class engineering and quantitative research converge to solve some of the most complex problems in any industry. Their teams are composed of passionate, first-principles thinkers who operate in one of the world's most demanding high-performance computing environments. We are seeking a visionary systems specialist to join them and re-engineer the fundamental building blocks of their machine learning models, enabling the next generation of quantitative research.
The Role
We are seeking a specialist with a Ph.D. for a unique role that sits at the deep intersection of ML algorithms and high-performance hardware, much in the vein of researchers like Tri Dao. This is not a typical ML position. It's a role for a true systems builder who can optimize the core computational mechanics of complex models through low-level, hardware-aware development. You will have the autonomy and resources to dive deep into the stack, profile performance bottlenecks, and write highly optimized code to push the boundaries of what's possible on the latest hardware.
Responsibilities
  • Re-engineer the fundamental building blocks of complex machine learning models to achieve massive performance gains.
  • Design and implement novel numerical algorithms in C++ and CUDA to accelerate model training and inference.
  • Profile and analyze deep learning workloads to identify and solve non-obvious performance bottlenecks across the entire system, from the CPU to the GPU and interconnect.
  • Collaborate with world-class quantitative researchers and engineers to co-design and implement the next generation of ML systems and infrastructure.
  • Stay at the cutting edge of academic and industry research in HPC, computer architecture, and ML systems.

Who we're looking for
  • A Ph.D. in Computer Science, Electrical & Computer Engineering, Physics, or a related technical field with a strong publication record.
  • Deep, hands-on expertise in high-performance computing (HPC) and parallel programming models (e.g. CUDA, MPI, OpenMP).
  • Expert-level proficiency in C++ for performance-critical development.
  • Demonstrable experience in low-level systems optimization, performance profiling, and identifying hardware bottlenecks (e.g. memory bandwidth, latency).
  • A background in optimizing numerical algorithms, computational mechanics, or compiler technologies is a significant plus.

Apply