ZipRecruiter

Log In

1

Julia Programming Jobs in Tennessee (NOW HIRING)

Whisper Aero

Structures Engineer

Crossville, TN · On-site

Experience in programming (Python, Julia, VBA, Matlab).  Preferred Experience   * Knowledge in aeroelastics and structural dynamics * Experience with rotor blade structural analysis and ...

Whisper Aero

Structures Engineer

Nashville, TN

Experience in programming (Python, Julia, VBA, Matlab).  Preferred Experience   * Knowledge in aeroelastics and structural dynamics * Experience with rotor blade structural analysis and ...

Fortitude Re

Senior Associate, Modeling

Nashville, TN · Hybrid

Proficiency in Python, or similar programming languages (i.e. Julia). * Experience with database applications and business intelligence tools. * Experience with AXIS or similar actuarial projection ...

All JobsJulia Programming JobsJulia Programming Jobs in Tennessee

Julia Programming information

See Tennessee salary details

$40.4K

$64.3K

$89.9K

How much do julia programming jobs pay per year?

As of Jul 19, 2026, the average yearly pay for julia programming in Tennessee is $64,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,300.00 and $80,300.00 per year, depending on experience, location, and employer.

Why don't I recommend Julia anymore?

Julia programming jobs are less common compared to other languages like Python or C++, partly due to its smaller community and limited industry adoption. While Julia is valued for high-performance numerical computing, fewer companies use it in production, which can impact job availability and career growth opportunities.

What tech jobs pay 400,000 a year?

High-paying tech jobs that can reach or exceed $400,000 annually include senior software engineers, machine learning engineers, data scientists, and technical executives such as CTOs. These roles typically require extensive experience, advanced skills in programming, data analysis, or leadership, and often involve working in high-demand industries or large organizations.

What are the key skills and qualifications needed to thrive in the Julia Programming position, and why are they important?

To excel in Julia Programming, candidates need strong programming abilities in Julia, a background in mathematics or computer science, and experience with scientific computing or data analysis. Proficiency with Julia's ecosystem—such as packages like DataFrames.jl, Plots.jl, and integrating with Python or C libraries—is often required, and certifications in data science or related fields may be beneficial. Excellent problem-solving skills, attention to detail, and the ability to collaborate within multidisciplinary teams distinguish top professionals in this field. These competencies are crucial for building efficient, scalable solutions and contributing effectively to projects across research, engineering, or analytics domains.

What kinds of projects or tasks do professionals in Julia Programming typically work on?

Professionals in Julia Programming often work on high-performance computing projects, data analysis, machine learning pipelines, and numerical modeling tasks, particularly in scientific research, finance, or engineering contexts. Their daily responsibilities may include writing and optimizing Julia code, collaborating with domain experts, and integrating Julia with other languages or technologies. Teams are often interdisciplinary and value strong communication skills, as many projects involve joint problem-solving with researchers, engineers, or data scientists. This role offers significant growth opportunities because Julia expertise is in increasing demand for projects where execution speed and scalability are critical.

Does NASA use Julia?

NASA has explored Julia for scientific computing and data analysis due to its high performance and ease of use. The agency has used Julia in some research projects, but it is not the primary programming language across all NASA operations. Most NASA software still relies on languages like C++, Python, and Fortran.

Is Julia in demand?

Julia programming skills are increasingly in demand, especially in data science, scientific computing, and machine learning fields. Companies value Julia for its high performance and ease of use, leading to growing job opportunities for developers proficient in the language.

What is a Julia Programming job?

A Julia Programming job involves using the Julia language to develop high-performance applications, data analysis pipelines, or scientific computing solutions. Professionals in this role often work in fields such as finance, machine learning, or computational science, leveraging Julia’s speed and efficiency for complex computations. Responsibilities may include writing efficient code, optimizing algorithms, and integrating Julia with other technologies. Employers typically seek candidates with strong programming skills, experience in numerical computing, and familiarity with parallel processing.

What are the most commonly searched types of Julia Programming jobs in Tennessee? The most popular types of Julia Programming jobs in Tennessee are:
What are popular job titles related to Julia Programming jobs in Tennessee? For Julia Programming jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Julia Programming jobs in Tennessee look for? The top searched job categories for Julia Programming jobs in Tennessee are:
Julia Programming jobs near you
Gen AI Engineer- Systems Engineer

Gen AI Engineer- Systems Engineer

1 point system

Nashville, TN • On-site

Contractor

Re-posted 8 days ago

Job description

  • AI/ML Expertise: 8+ years of experience, with the last 2 years in GenAI technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, Prompt Engineering, and fine-tuning.
  • Programming Languages & Libraries: Proficiency in Python, R, TensorFlow, PyTorch, Keras, Julia, and various ML libraries, along with NLP capabilities.
  • Web & Software Development: Skilled in Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL.
  • Cloud-Native Engineering: Experience with FaaS/PaaS/micro-services on cloud platforms like Azure, AWS, and GCP.
  • Methodologies & Tools: Strong understanding of XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, and other tools for rapid, quality product delivery.