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Entry Level Scientific Computing Jobs (NOW HIRING)

... computing, AI infrastructure, and large-scale storage technologies. The successful candidate will ... Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.

... computing, AI infrastructure, and large-scale storage technologies. The successful candidate will ... Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.

Entry-Level Software Engineer

Golden, CO ยท On-site

$70K - $120K/yr

... Science preferred; BA degrees will be considered with relevant work experience * 0-3 years ... Familiarity with AWS or other cloud computing platforms Work Environment * Location: Hybrid, on ...

... Science preferred; BA degrees will be considered with relevant work experience * 0-3 years ... Familiarity with AWS or other cloud computing platforms Work Environment * Location: Hybrid, on ...

Entry-Level Software Engineer

Golden, CO ยท On-site

$70K - $120K/yr

... Science preferred; BA degrees will be considered with relevant work experience * 0-3 years ... Familiarity with AWS or other cloud computing platforms Work Environment * Location: Hybrid, on ...

Entry-Level Software Engineer

Golden, CO ยท Hybrid

$70K - $120K/yr

... Science preferred; BA degrees will be considered with relevant work experience * 0-3 years ... Familiarity with AWS or other cloud computing platforms Work Environment * Location: Hybrid, on ...

Entry Level Software Engineer

Urbandale, IA ยท On-site

$65K - $90K/yr

... IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our ... Bachelor's or Master's degree in Computer Science or Electrical Engineering. Other degrees are ...

Entry Level Software Engineer

Urbandale, IA ยท On-site

$65K - $90K/yr

... IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our ... Bachelor's or Master's degree in Computer Science or Electrical Engineering. Other degrees are ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... a cloud-computing environment * Learn and apply techniques to improve data dependability and ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

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Entry Level Scientific Computing information

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How much do entry level scientific computing jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for entry level scientific computing in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level professionals in scientific computing, and how can they be overcome?

Entry-level professionals in scientific computing often encounter challenges such as adapting to complex codebases, learning new programming languages or tools, and understanding interdisciplinary project requirements. Collaborating closely with senior team members, actively seeking feedback, and dedicating time to continuous learning can help overcome these hurdles. Additionally, participating in code reviews and leveraging online resources or documentation can accelerate skill development and integration into the team.

What are the key skills and qualifications needed to thrive as an Entry Level Scientific Computing professional, and why are they important?

To thrive as an Entry Level Scientific Computing professional, you need a solid grounding in mathematics, programming (often Python, C++, or MATLAB), and scientific principles, typically supported by a degree in computer science, physics, engineering, or a related field. Familiarity with scientific computing libraries (such as NumPy, SciPy), version control systems (like Git), and computational frameworks is commonly required. Strong problem-solving skills, attention to detail, and effective communication help individuals excel when collaborating with multidisciplinary teams. These skills ensure accurate data analysis, reproducible research, and efficient solutions to complex scientific problems.

What is the difference between Entry Level Scientific Computing vs Data Analyst?

AspectEntry Level Scientific ComputingData Analyst
Required CredentialsBachelor's in Science, Engineering, or related field; basic programming skillsBachelor's in Statistics, Mathematics, or related field; proficiency in data tools
Work EnvironmentResearch labs, scientific institutions, tech companiesBusiness, finance, healthcare sectors, often office-based
Employer & Industry UsageResearch projects, scientific simulations, modelingData interpretation, reporting, business insights

Entry Level Scientific Computing roles focus on applying programming and scientific methods to research and modeling tasks, often within research or tech environments. Data Analysts primarily interpret data to inform business decisions, working across various industries. While both roles require analytical skills and some programming knowledge, their focus and work settings differ significantly.

What are entry level scientific computing jobs?

Entry level scientific computing jobs are positions for individuals who are beginning their careers in applying computational techniques to solve scientific problems. These roles often involve programming, data analysis, simulation, and modeling in fields like biology, physics, chemistry, or engineering. Typical responsibilities may include writing code to process data, running simulations, supporting research teams, and maintaining computational tools or software. Candidates usually have a background in science, mathematics, engineering, or computer science and are expected to have foundational knowledge of programming languages such as Python, R, or MATLAB. These positions are excellent starting points for gaining experience in computational research and development.
More about Entry Level Scientific Computing jobs
What cities are hiring for Entry Level Scientific Computing jobs? Cities with the most Entry Level Scientific Computing job openings:
What are the most commonly searched types of Scientific Computing jobs? The most popular types of Scientific Computing jobs are:
What states have the most Entry Level Scientific Computing jobs? States with the most job openings for Entry Level Scientific Computing jobs include:
Infographic showing various Entry Level Scientific Computing job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Software Engineer - Entry Level

VDURA

Longmont, CO โ€ข On-site

Full-time

Posted 23 days ago


Job description

Position Overview:
VDURA is a leader in high-performance parallel file systems and distributed storage solutions for AI and HPC environments. We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help develop the next generation of the VDURA Data Platform.
ย 
This role is ideal for a recent graduate or early-career engineer who is passionate about systems software, distributed computing, AI infrastructure, and large-scale storage technologies. The successful candidate will work alongside experienced architects and senior engineers while contributing to real-world enterprise storage solutions used in demanding AI and HPC deployments.
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The Software Engineer will gain hands-on experience with distributed systems development, performance optimization, automated testing, cloud technologies, and modern AI-assisted software development practices.
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Key Responsibilities:
Software Development
  • Develop, test, debug, and maintain software components within the VDURA Data Platform.
  • Contribute to distributed storage services, management tools, datapath functionality, and automation infrastructure.
  • Write clean, maintainable, and well-tested code primarily in C, C++, Python, or related technologies.
  • Engineering Collaboration
  • Work closely with senior engineers, architects, QA, DevOps, and support teams on feature development and issue resolution.
  • Participate in code reviews, technical discussions, and team planning activities.
  • Learn and apply best practices for scalable software development and systems engineering.
  • Testing and Debugging
  • Assist with debugging complex software issues across distributed systems environments.
  • Contribute to automated test frameworks and continuous integration workflows.
  • Support system validation, performance testing, and reliability improvements.
  • Performance and Scalability
  • Help analyze system performance and identify opportunities for optimization.
  • Learn about modern storage and networking technologies including NVMe, RDMA, InfiniBand, and parallel file systems.
  • Participate in lab testing and large-scale system validation activities.
  • Innovation and Learning
  • Utilize AI-based software development tools to improve productivity, learning, debugging, and software quality.
  • Stay current with emerging technologies in AI infrastructure, cloud-native systems, distributed storage, and software engineering.
  • Continuously expand technical knowledge through mentorship and hands-on development experience.
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Qualifications:
  • Bachelorโ€™s degree in Computer Science, Computer Engineering, or a related technical discipline.
  • Strong programming skills in C, C++, Python, Java, or similar languages.
  • Understanding of operating systems, data structures, algorithms, and networking fundamentals.
  • Familiarity with Linux or UNIX-based development environments.
  • Strong analytical and problem-solving skills.
  • Experience with Git or other version control systems.
  • Interest in distributed systems, storage software, cloud computing, AI infrastructure, or systems-level programming.
  • Experience using AI-based software development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Gemini, or similar technologies is desirable.
  • Strong communication skills and willingness to work collaboratively within a team environment.
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Preferred Experience:
  • Internship, academic project, or open-source experience related to systems software or distributed systems.
  • Exposure to Linux system administration or scripting.
  • Familiarity with containers, Kubernetes, cloud platforms, or virtualization technologies.
  • Experience with automated testing or CI/CD workflows.
  • Interest in HPC, AI infrastructure, or large-scale storage systems.
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Location:
This role is based in: Niwot, CO
This is primarily an on-site role to support close collaboration with engineering teams and access to VDURA lab environments.
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About VDURA:
VDURA is transforming data storage and management for the AI era. Our software-defined storage platform delivers the performance, scalability, durability, and simplicity required for the worldโ€™s most demanding AI and HPC environments. Our engineering teams work on cutting-edge distributed systems challenges spanning parallel file systems, AI infrastructure, cloud technologies, and next-generation storage architectures.