1

Computational Engineering Jobs in Austin, TX (NOW HIRING)

... Optimize computational graphs and memory access patterns for our hardware architecture • ... programming models Preferred : • PhD in Computer Science or related field • 10+ years of ...

You are the engineer who can engage in substantive technical discussions with foundry partners and ... You have developed EDA tools that handle production-scale designs, and you understand computational ...

Staff Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

... engineering team and lead the development of our compiler. This role focuses on compiler ... Optimize computational graphs and memory access patterns for our hardware architecture * Integrate ...

Own the development and validation of Computational Fluid Dynamics (CFD) and system-level thermal ... Proven experience as a Thermofluids Engineer (or similar analytical role) focusing on the ...

Own the development and validation of Computational Fluid Dynamics (CFD) and system-level thermal ... Proven experience as a Thermofluids Engineer (or similar analytical role) focusing on the ...

Own the development and validation of Computational Fluid Dynamics (CFD) and system-level thermal ... Proven experience as a Thermofluids Engineer (or similar analytical role) focusing on the ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Showing results 41-60

Computational Engineering information

See Austin, TX salary details

$48.1K

$120.4K

$136.3K

How much do computational engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computational engineering in Austin, TX is $120,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $130,300.00 per year, depending on experience, location, and employer.

What is a computational engineer?

A Computational Engineering job involves using mathematical models, algorithms, and computer simulations to analyze and solve engineering problems. It combines principles from computer science, applied mathematics, and engineering to improve product design, optimize systems, and enhance efficiency in various industries. Professionals in this field develop software tools, conduct simulations, and utilize high-performance computing to solve complex engineering challenges in areas such as aerospace, automotive, energy, and healthcare.

What skills and qualifications are needed to thrive as a computational engineer?

To thrive as a Computational Engineer, a strong background in mathematics, computer science, and engineering fundamentals is essential, generally supported by a degree in computational engineering or a related field. Familiarity with programming languages like Python, MATLAB, or C++, as well as experience using simulation software and high-performance computing systems, is typically required. Analytical thinking, effective communication, and problem-solving abilities are important soft skills for collaboration and innovation. These competencies enable Computational Engineers to develop accurate models, optimize complex systems, and deliver efficient solutions in multidisciplinary environments.

What are some common challenges computational engineers face in their work?

Computational Engineers often encounter complex, large-scale problems that require developing accurate and efficient computational models, which can be challenging due to intricacies in physical systems or computational resource limitations. Managing tight project deadlines while ensuring high-quality results and adapting to rapidly evolving technology are also common aspects of the role. Collaboration across multidisciplinary teams—often with scientists, designers, or other engineers—requires strong communication and adaptability. Embracing these challenges can help Computational Engineers expand their expertise and positively impact project outcomes.

Is computational engineering in demand?

Computational engineering is in high demand across industries such as aerospace, automotive, and energy, as it involves using advanced modeling, simulation, and programming skills to solve complex engineering problems. The field offers strong job growth prospects, especially for those proficient in programming languages, numerical methods, and software tools like MATLAB or Python.

What does a computational engineer do?

A computational engineer develops and applies mathematical models, algorithms, and simulations to solve complex engineering problems. They often use programming languages and software tools to analyze data, optimize systems, and improve designs across various engineering disciplines.

What are the most commonly searched types of Computational Engineering jobs in Austin, TX?

The most popular types of Computational Engineering jobs in Austin, TX are:

What job categories do people searching Computational Engineering jobs in Austin, TX look for?

The top searched job categories for Computational Engineering jobs in Austin, TX are:

What cities near Austin, TX are hiring for Computational Engineering jobs?

Cities near Austin, TX with the most Computational Engineering job openings:

Infographic showing various Computational Engineering job openings in Austin, TX as of August 2026, with employment types broken down into 6% Internship, 69% Full Time, 8% Part Time, 10% Temporary, and 7% Contract. Highlights an 85% In-person, 7% Hybrid, and 8% Remote job distribution, with an average salary of $120,447 per year, or $57.9 per hour.

Mechanical Engineer 2-Data Center IT Rack Feasibility

Dell Careers

Round Rock, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Infrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data continuity, and deliver the platforms, applications, and diagnostics our customers rely on every day at enterprise scale.Some product builders follow the rules. Ours rewrite them.Within ISG, innovation isn't just about creating new technology- it's about challenging assumptions and reimagining how work gets done. Engineers define intent, author precise specifications, and orchestrate AI agents that execute at speed and scale. AI is embedded throughout our development process, helping us move faster, learn quicker, and deliver greater impact. Yet the most important contribution remains uniquely human: deciding what to build, designing how it should work, and applying the judgment needed to earn our customers' trust. When your products power critical infrastructure around the world, that responsibility matters.We move quickly toward the work that matters most. We reward experimentation, encourage bold thinking, and remove unnecessary barriers so great ideas can become reality faster. Our teams embrace a customer-first, first-to-market mindset, transforming rapid feedback into better products and better outcomes. We aren't looking for people who are content with the status quo- we look for builders who question it, improve it, and occasionally rewrite it.If you're energized by solving complex systems challenges, excited to work alongside AI to amplify Center IT Rack Feasibility on our Mechanical Engineering team in Round Rock, Texas (relocation assistance available).Mechanical Engineer-Data Center IT Rack FeasibilityInfrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data