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Entry Level Scientific Software Developer Jobs (NOW HIRING)

Enthought

Scientific Software Developer

Austin, TX · On-site

We are hiring a Scientific Software Developer to join our client-facing solution delivery team. Working agent-first, you will pair deep scientific expertise with agentic AI coding tools to move from ...

Avior

Entry-Level Software Developer

Irving, TX · On-site

$42K - $52K/yr

We are seeking a motivated and enthusiastic Entry-Level Software Developer to join our team. In ... Bachelor's degree in Computer Science, Software Engineering, or a related field. * Strong ...

CGI Inc.

Software Developer - Entry Level

Austin, TX · On-site

As an Entry Level Software Developer, you'll work with cross functional teams to design, build ... What You'll Bring • Bachelor's degree in Computer Science, Software Engineering, Computer ...

CGI Inc.

Software Developer - Entry Level

Houston, TX · On-site

As an Entry Level Software Developer, you'll work with cross functional teams to design, build ... What You'll Bring • Bachelor's degree in Computer Science, Software Engineering, Computer ...

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Entry Level Scientific Software Developer information

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$29.5K

$100.3K

$241.5K

How much do entry level scientific software developer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for entry level scientific software developer in the United States is $100,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $106,000.00 per year, depending on experience, location, and employer.

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

AspectEntry Level Scientific Software DeveloperEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Software Engineering, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch labs, scientific institutions, tech companiesBusiness, healthcare, finance sectors
Employer & Industry UsageUsed in scientific research, simulation, data modelingUsed in data interpretation, reporting, business insights

While both roles involve data handling and programming, Entry Level Scientific Software Developers focus on creating software for scientific applications, whereas Entry Level Data Analysts interpret data to inform business decisions. The choice depends on your interest in scientific computing versus data analysis in various industries.

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The most popular types of Scientific Software Developer jobs are:

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Entry Level Scientific Software Developer jobs near you
Infographic showing various Entry Level Scientific Software Developer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $100,265 per year, or $48.2 per hour.

Scientific Software Developer

Austin, TX • On-site

Enthought
Software Development • 51 - 200 employees
Learn more about Enthoughtexternal

Full-time

Re-posted 12 days ago

Job description

We are hiring a Scientific Software Developer to join our client-facing solution delivery team. Working agent-first, you will pair deep scientific expertise with agentic AI coding tools to move from research question to working software - building data-driven models, AI-based decision-support tools, and analysis pipelines for the world's leading R&D organizations.
Key Responsibilities
  • Design end-to-end scientific solutions - apply deep knowledge of statistics, optimization, machine learning, and related areas to translate client R&D problems into architectures spanning data, models, and user-facing applications.
  • Work agent-first - use AI coding assistants and autonomous coding agents as your default way to explore data, prototype models, build software, write tests, and produce documentation, compressing the path from research question to working solution.
  • Direct AI agents like a technical lead - decompose scientific and engineering problems into well-scoped tasks, give agents the domain context and scientific constraints they need, and iterate toward correct, defensible results.
  • Solve complex research and product-development problems in close collaboration with client researchers and business leaders.
  • Build data-driven models, AI-based decision-support tools, and automated analysis pipelines, and assemble them into web-based solutions involving GUIs, 2D and 3D graphics, and cloud computing.
  • Design AI-enabled and agentic capabilities into client solutions where they add value - held to the same rigor as any other component.
  • Apply judgment about where AI and generative approaches fit and where they don't, balancing speed against reliability and reproducibility.
  • Take part in collaborative development practices - code review, architecture reviews, sprint planning, retrospectives, and daily standups - and interface directly with clients to define, demonstrate, and refine solutions.
  • Handle client data and intellectual property responsibly, using AI tools only in approved, secure configurations.

What We Offer
  • Meaningful impact - your work directly advances scientific breakthroughs, from accelerating drug discovery to developing sustainable materials.
  • A front-row seat to agentic AI - work at an automation-first company where every role directs AI tools, and help define how the industry puts them to work.
  • World-class colleagues - collaborate with some of the smartest, kindest scientists and engineers around.
  • Continuous learning - access to Enthought's training programs in Python, machine learning, and scientific computing.
  • A global, collaborative culture across our Austin, Cambridge, and Tokyo offices.
  • Flexible hybrid work based out of our Austin office.
  • Competitive compensation and benefits.

Who Thrives Here
Everyone at Enthought shares a common set of traits: exceptional integrity, analytic intelligence, a sense of urgency, the ability to simplify the complex, openness in communication, empathy for people, and endurance. If you are endlessly curious, take full ownership of your work, and are excited to help shape how science gets done in the era of agentic AI, you will feel at home here.
#LI-Hybrid

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