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Freelance Algorithmic Trading Software Developer Jobs in Tulsa, OK

L3HHCM20

Senior Software Engineer Specialist

Tulsa, OK

$92K - $121K/yr

Experience using DevOps pipelines and tooling is a plus. Experience translating prototype or research algorithms into production-quality implementations. Familiarity with software testing ...

IERUS Technologies, LLC

Embedded Software Engineer

Tulsa, OK · On-site

$114K - $150K/yr

... Developer, you will be responsible for the design, development, and validation of embedded software within prototype RF systems and test apparatus used to validate radar processing algorithms. You ...

IERUS Technologies, Inc.

Embedded Software Engineer

Tulsa, OK · On-site

$108K - $143K/yr

... Developer, you will be responsible for the design, development, and validation of embedded software within prototype RF systems and test apparatus used to validate radar processing algorithms. You ...

IERUS Technologies, Inc.

Embedded Software Engineer

Tulsa, OK · On-site

$108K - $143K/yr

... Developer, you will be responsible for the design, development, and validation of embedded software within prototype RF systems and test apparatus used to validate radar processing algorithms. You ...

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All JobsAlgorithmic Trading Software Developer JobsFreelance Algorithmic Trading Software Developer JobsFreelance Algorithmic Trading Software Developer Jobs in Tulsa, OK

Freelance Algorithmic Trading Software Developer information

See Tulsa, OK salary details

$43.8K

$102.2K

$151.6K

How much do freelance algorithmic trading software developer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for freelance algorithmic trading software developer in Tulsa, OK is $102,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,200.00 and $118,700.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Algorithmic Trading Software Developer vs Quantitative Analyst?

AspectFreelance Algorithmic Trading Software DeveloperQuantitative Analyst
CredentialsProgramming skills, trading platform knowledge, possibly certifications like CQFMathematics, statistics, finance degrees, certifications like CFA
Work EnvironmentIndependent, remote, project-basedOffice-based, team-oriented, financial institutions
Industry UsageDevelops trading algorithms for clients or own tradingAnalyzes financial data to inform trading strategies

While both roles involve quantitative skills and financial markets, Freelance Algorithmic Trading Software Developers focus on building and implementing trading algorithms independently, often working remotely. Quantitative Analysts typically analyze data within financial firms to develop trading strategies, often working in team environments. The roles overlap in technical skills but differ in scope and work setting.

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For Freelance Algorithmic Trading Software Developer jobs in Tulsa, OK, the most frequently searched job titles are:

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Freelance Algorithmic Trading Software Developer jobs near you
Infographic showing various Freelance Algorithmic Trading Software Developer job openings in Tulsa, OK as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $102,156 per year, or $49.1 per hour.

Senior Software Engineer Specialist

L3HHCM20

Tulsa, OK

$92K - $121K/yr

Full-time

Posted 10 days ago

Job description

Job Title: Real-time Development Engineer 4

Job Code : 41937

Job Location: Tulsa, OK

Schedule: 9/80 employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off

 

Job Description:


L3Harris is seeking a Developer, Software Engineering with experience in CUDA, C/C++, and Python to support the development of high-performance GPU-accelerated software for advanced mission applications. The selected candidate will work closely with software and algorithm teams to translate computational and image-processing algorithms into efficient CUDA C/C++ implementations for execution on NVIDIA GPU platforms.

This role is ideal for an engineer who enjoys performance optimization, parallel programming, and the challenge of converting algorithmic concepts into production-ready software. The position includes design, implementation, integration, profiling, test, and optimization of GPU-based software in a Linux development environment.  Our development efforts aim to achieve the best possible performance to meet demanding real-time requirements.

Essential Functions:

       Develop and maintain software in CUDA C/C++ for NVIDIA GPU-based systems.

       Translate and optimize computational algorithms into efficient GPU implementations.

       Support development of image processing and related high-performance software applications.

       Analyze existing software and algorithms to identify opportunities for parallelization and acceleration.

       Improve software performance through optimization of kernel execution, memory usage, and data movement.

       Develop and execute unit, integration, and performance tests to validate functionality and accuracy.

       Collaborate with cross-functional teams including software, systems, and algorithm engineers.

       Participate in software design reviews, code reviews, and technical discussions.

       Support software integration and debugging in Linux-based environments.

       Document software design, implementation, test results, and performance findings.

Qualifications:

 

       Bachelor's Degree and a minimum of 6 years of prior relevant software experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience.

       Minimum 6 years of experience with C/C++.

       Minimum 2 years of experience with Python.

       Minimum 4 years of experience with NVIDIA CUDA.

       Experience developing software in Linux environments.

       Experience implementing or optimizing algorithms for performance-sensitive applications.

       Experience using source control and standard software development practices.

       Must be eligible to obtain a U.S. security clearance.

Preferred Additional Skills:

       Experience with GPU profiling and performance analysis tools such as Nsight Systems, Nsight Compute, NVIDIA Visual Profiler, Compute Sanitizer.

       Experience with image processing and/or computer vision applications. 

       Experience with TensorRT, cuFFT, cuBLAS, cuDNN, NPP, Thrust, and CUB. 

       Experience with Containerization with technologies such as Docker is a plus.

       Experience using DevOps pipelines and tooling is a plus.

       Experience translating prototype or research algorithms into production-quality implementations.

       Familiarity with software testing, benchmarking, and debugging techniques in high-performance computing environments.

       Experience developing for multiple CUDA Architectures and Compute Capabilities

       Knowledge of GPU Direct/RDMA, NVIDIA containerization, machine parallelism

 #LI-LT2

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