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Computational Software Developer Jobs (NOW HIRING)

Cadence

Software Security Architect

San Jose, CA · On-site

Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Founded in 1988, the ...

Integral

Software Developer

Mclean, VA · On-site

The Software Developer supports the United States (U.S.) Army C5ISR Center to develop advances ... Improvements and refinements reducing computational and storage requirements. Required: * Bachelor ...

Auburn University

Student Software Developer

Auburn, AL · On-site

... computational tools and databases. • Document and maintain software functionality. • Ensure the robustness and reliability of web applications. • Perform data collection and data analysis to ...

Integral

Software Developer

Mclean, VA · On-site

Overview The Software Developer supports the United States (U.S.) Army C5ISR Center to develop ... Improvements and refinements reducing computational and storage requirements. Qualifications ...

Cadence

Software Engineer I

Austin, TX

$88K - $165K/yr

Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational ... This job will suit applicants looking to continue their software engineering career in an ...

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Computational Software Developer information

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$48K

$111.8K

$166K

How much do computational software developer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computational software developer in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a Computational Software Developer?

A Computational Software Developer is a professional who designs, develops, and maintains software systems that perform complex mathematical, scientific, or engineering computations. They often work in fields such as scientific research, engineering, finance, and data analysis, creating tools that simulate processes, analyze data, or solve computational problems. These developers typically possess strong programming skills in languages like Python, C++, or MATLAB, and have a solid understanding of algorithms, mathematics, and domain-specific knowledge relevant to their projects.

What are the key skills and qualifications needed to thrive as a Computational Software Developer, and why are they important?

To thrive as a Computational Software Developer, you need strong programming skills (often in languages like Python, C++, or Java), a solid understanding of algorithms, and typically a degree in computer science, mathematics, or a related field. Familiarity with computational libraries (such as NumPy, SciPy, or TensorFlow), version control systems like Git, and experience with high-performance or parallel computing are commonly required. Analytical thinking, problem-solving abilities, and effective teamwork are vital soft skills for excelling in this role. These skills and qualities enable developers to create robust, efficient computational solutions and collaborate effectively within multidisciplinary teams.

What are some common challenges faced by Computational Software Developers, and how can they be addressed?

Computational Software Developers often encounter challenges such as optimizing code for high-performance computing, ensuring numerical accuracy, and integrating complex algorithms with existing systems. These challenges can be addressed by staying up-to-date with the latest computational techniques, collaborating closely with domain experts, and utilizing profiling tools to identify performance bottlenecks. Regular code reviews and testing are also essential to maintain reliability and foster knowledge sharing within multidisciplinary teams.
More about Computational Software Developer jobs
What cities are hiring for Computational Software Developer jobs? Cities with the most Computational Software Developer job openings:
What states have the most Computational Software Developer jobs? States with the most job openings for Computational Software Developer jobs include:
What job categories do people searching Computational Software Developer jobs look for? The top searched job categories for Computational Software Developer jobs are:
Computational Software Developer jobs near you
Infographic showing various Computational Software Developer job openings in the United States as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,845 per year, or $53.8 per hour.
Lead Software Engineer

Lead Software Engineer

Cadence Design Systems, Inc.

Austin, TX • On-site

Full-time

Re-posted 3 days ago

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Job Duties:
  • Research, design, and develop computer and network software or specialized utility programs for multinational computational software company.
  • Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
  • Utilize graduate-level analysis and skills to develop essential data structures and algorithms for electronic design automation (EDA) software.
  • Develop next-generation VLSI routing engine for advanced technology nodes.
  • Maintain and enhance the existing routing technology as part of the Innovus Implementation System.
  • Develop technologies and products that enable the manufacturing of the most advanced integrated circuits built for communication, Internet of Things (IoT), and AI markets.
  • Perform fundamental research on VLSI physical design theories.
  • Perform code review for other team members.
  • Write documents to explain software architecture and implementation.

Qualifications:
  • PhD in Computer Engineering, Computer Science, or related field
  • Programming in C++ for implementing efficient algorithms and data structures in EDA
  • Multithreading programming to optimize algorithm performance
  • Data structures and algorithms, including complexity analysis and implementation techniques for efficient memory and Input/Output (I/O) utilization
  • Knowledge of graph theory and combinatorial optimization for VLSI routing algorithms
  • Knowledge of VLSI physical design theories and methodologies including placement and routing
  • Linux environment and shell scripting to test and develop tools under Cadence development environment
  • Programming in TCL for EDA tool scripting and design data analysis
  • Programming using Python language for data analysis and machine learning algorithm implementation

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