1

Julia Developer Jobs (NOW HIRING)

As we scale, engineering excellence is a critical lever in advancing our mission to dramatically ... Preferred: * Substantial experience with Julia, especially for scientific computing, molecular ...

next page

Showing results 1-20

Julia Developer information

See salary details

$29.5K

$107.4K

$167K

How much do julia developer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for julia developer in the United States is $107,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $136,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Julia Developer, you need strong programming skills in Julia, a solid understanding of mathematical modeling or data science, and typically a background in computer science, mathematics, or a related field. Familiarity with technical tools such as Julia packages (e.g., DataFrames, Flux), version control systems like Git, and sometimes experience with parallel computing or cloud platforms is common. Effective problem-solving, attention to detail, and collaboration skills make someone stand out in this role. These competencies are crucial for developing efficient, high-performance solutions and contributing to complex technical projects.

Why don't I recommend Julia anymore?

Julia Developer roles are less commonly recommended due to the language's smaller community and limited industry adoption compared to more established languages like Python or C++. This can impact job opportunities, support, and available resources for developers. However, Julia is valued for high-performance computing and scientific applications, which may influence its demand in specialized fields.

Does NASA use Julia?

NASA researchers and scientists have used Julia for various scientific computing and data analysis tasks due to its high performance and ease of use. While not exclusively used, Julia is part of some NASA projects focused on simulation, modeling, and data processing. Julia's capabilities make it a valuable tool for roles involving scientific programming and data analysis at NASA.

What jobs pay $500,000 a year in the US?

High-paying roles for Julia developers or similar tech professionals typically include senior software engineers, technical leads, or specialized roles in finance and technology firms, often requiring extensive experience, advanced skills in Julia or other programming languages, and sometimes advanced degrees or certifications. These positions may involve leadership responsibilities, complex project management, or working in high-demand industries such as finance, biotech, or AI research. Compensation at this level usually includes base salary, bonuses, and stock options, and is more common in large companies or startups with significant funding.

What are typical collaborative projects a Julia Developer might work on within a team environment?

Julia Developers often collaborate on projects involving data analysis, scientific computing, or machine learning applications. In a team setting, you may work closely with data scientists, researchers, and engineers to optimize algorithms, develop new computational tools, or integrate Julia modules into larger software systems. Effective communication and version control are key, as you’ll regularly participate in code reviews, share progress in team meetings, and coordinate on cross-functional tasks to ensure smooth project delivery.

What is the difference between Julia Developer vs Python Developer?

AspectJulia DeveloperPython Developer
Required CredentialsBachelor's in Computer Science or related field; familiarity with Julia languageBachelor's in Computer Science or related field; proficiency in Python
Work EnvironmentResearch labs, data science, high-performance computingWeb development, data analysis, automation
Industry UsageScientific computing, numerical analysis, machine learningWeb apps, data science, scripting
Search & Comparison IntentComparing programming languages for scientific computingGeneral programming, data analysis, web development

Julia Developers specialize in high-performance scientific computing and numerical analysis using the Julia language, often in research or data-intensive environments. Python Developers have a broader application scope, including web development, automation, and data science. While both roles require programming skills and a background in computer science, Julia Developers focus on performance-critical tasks, whereas Python Developers work across diverse industries.

Is Julia in demand?

Julia developers are increasingly in demand, especially in data science, machine learning, and high-performance computing fields. Companies seek professionals skilled in Julia for its speed and efficiency, and demand is expected to grow as more organizations adopt the language for specialized applications.

What is a Julia Developer?

A Julia Developer is a software engineer who specializes in using the Julia programming language to develop high-performance applications, particularly in scientific computing, data analysis, machine learning, and numerical computing. Julia Developers are skilled in writing efficient code, optimizing algorithms, and leveraging Julia’s features for parallel and distributed computing. They often work in research, finance, engineering, or technology industries where computational speed and accuracy are critical. Their work may also involve integrating Julia with other programming languages and tools.
More about Julia Developer jobs
What cities are hiring for Julia Developer jobs? Cities with the most Julia Developer job openings:
What states have the most Julia Developer jobs? States with the most job openings for Julia Developer jobs include:
Infographic showing various Julia Developer job openings in the United States as of July 2026, with employment types broken down into 78% Full Time, 11% Contract, and 11% Summer. Highlights an 100% In-person job distribution, with an average salary of $107,448 per year, or $51.7 per hour.

Julia Architect / Principal Engineer

Symbolic Mind

Seattle, WA • On-site

Full-time

Posted 15 days ago


Job description


Proficiency in Julia programming language is required, with hands-on experience in developing and optimizing Julia-based applications.
We are seeking an experienced Julia Architect/Principal Engineer with a strong background in mathematics and physics, specializing in AI solutions. In this pivotal role, you'll leverage your expertise in the Julia programming language to design and implement innovative AI models and frameworks. Your leadership will drive the creation of scalable, efficient AI systems, making significant contributions to our cutting-edge AI architecture and ensuring seamless integration into diverse applications.
This position requires candidates to be located in Seattle or Northern California, or be willing to relocate to one of these areas.
Responsibilities:
  • Architect and Design Solutions: Lead the design and architecture of software solutions using Julia, ensuring scalability, performance, and maintainability.
  • ML Development Leadership: Oversee the development of advanced AI models and frameworks, writing clean, efficient, and well-documented code.
  • Team Collaboration: Work closely with stakeholders and cross-functional teams, including CTO, AI scientists, data scientists, and developers, to deliver high-quality AI solutions.
  • Optimization and Integration: Conduct rigorous testing, profiling, and optimization to ensure system reliability, performance, and seamless application integration.

Details:
  • Full-time role
  • We are seeking candidates who are local to Seattle or Northern California, or willing to relocate. Relocation assistance may be available for the right candidate.

Requirements
  • Proven experience as a Julia programmer, with strong coding and architecture expertise.
  • Extensive knowledge of the Julia ecosystem and its application to AI and system design.
  • Experience with modern LLM Tool stack.
  • Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) and Julia ML packages.
  • Extensive experience in developing scalable, high-performance, data-intensive applications.
  • Experience with distributed systems, parallel computing, GPU programming, cloud-based ML architectures.
  • Experience with building, fine tuning/RAG of LLMs.
  • Strong mathematical and physics background, with expertise in problem-solving and algorithm development.
  • Strong expertise in machine learning algorithms, frameworks, and systems design.
  • Degree in Mathematics, Physics, Computer Science, Engineering, or a related field.
  • Familiarity with Python and its use in ML workflows and data science.

Benefits
  • Competitive salary and benefits package, with a clear path for career advancement.
  • An inclusive, multicultural team environment that values knowledge sharing and open dialogue.
  • Equity participation, aligning your success with the company's growth.
  • Remote-friendly environment.