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How much do flex cuda programmer jobs pay per hour?

As of May 31, 2026, the average hourly pay for flex cuda programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Flex CUDA Programmer, and why are they important?

A Flex CUDA Programmer needs strong proficiency in C/C++ programming, deep knowledge of parallel computing concepts, and experience with NVIDIA CUDA architecture, usually supported by a degree in computer science or a related field. Familiarity with CUDA Toolkit, GPU profiling tools, and version control systems is essential, and certifications in GPU programming can be advantageous. Problem-solving ability, attention to detail, and effective teamwork are critical soft skills that distinguish top performers in this role. These skills and qualifications are vital to efficiently develop, optimize, and troubleshoot high-performance GPU-accelerated applications.

What are some common challenges Flex CUDA Programmers face when optimizing code for GPU architectures?

Flex CUDA Programmers often encounter challenges such as managing memory efficiently between the host and device, optimizing parallelization to avoid thread divergence, and ensuring that kernels are optimized for the specific GPU architecture. Debugging and profiling code can be more complex than traditional CPU programming due to the parallel nature of GPUs and the need to minimize data transfer overhead. Collaborating with data scientists, engineers, and other developers is also crucial, as integrating CUDA-accelerated code often requires close communication across multidisciplinary teams.

What is a Flex CUDA Programmer?

A Flex CUDA Programmer is a software developer who specializes in programming with NVIDIA's CUDA (Compute Unified Device Architecture) platform, specifically for applications that may require flexible or dynamic GPU computing solutions. These programmers write code that leverages the parallel processing power of GPUs to accelerate tasks such as scientific simulations, machine learning, or data processing. They often work in fields where performance and efficiency are critical, optimizing algorithms to run efficiently on GPU hardware. Their expertise includes C/C++ programming, CUDA libraries, and understanding of GPU architectures.

What is the difference between Flex Cuda Programmer vs CUDA Developer?

AspectFlex Cuda ProgrammerCUDA Developer
Required CredentialsKnowledge of CUDA, programming skills in C/C++, experience with GPU computingSimilar credentials, often including CUDA certification and C/C++ expertise
Work EnvironmentEmbedded systems, high-performance computing, hardware integrationSoftware development, simulation, and optimization in GPU environments
Industry UsageEmbedded systems, automotive, aerospace, scientific researchResearch labs, tech companies, gaming, AI development

Both roles focus on GPU programming with CUDA, requiring similar technical skills and certifications. Flex Cuda Programmers often work in embedded and specialized hardware environments, while CUDA Developers may focus more on software applications and algorithm optimization. The choice depends on the industry and project focus.

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Flex Cuda Programmer jobs near you
Infographic showing various Flex Cuda Programmer job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, 3% Part Time, and 17% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.
C++ Developer - Murex Flex / Front Office Quant Model Integration

C++ Developer - Murex Flex / Front Office Quant Model Integration

Lorven Technologies

Manhattan, NY • On-site

$54 - $72.75/hr

Full-time

Posted 3 days ago

Job description

Role: C++ Developer - Murex Flex / Front Office Quant Model Integration
Location: NYC, NY (Hybrid)
Job Description:
Responsibilities
  • Design, develop, and maintain Murex Flex components using C++
  • Integrate proprietary Quant pricing and risk libraries into Murex via Flex APIs
  • Partner closely with Quant teams to understand model assumptions, limitations, and implementation requirements
  • Ensure robust interaction between Murex core, Flex extensions, and external Quant libraries
  • Support complex Front Office use cases including pricing, Greeks, sensitivities, and payoffs
  • Participate in UAT, model validation support, and production releases, including controlled rollout of changes
  • Diagnose and resolve production issues related to Flex, pricing behavior, or model integration
  • Contribute to platform stability, performance optimization, and risk reduction
  • Work with QA, Release Management, and Production Support to ensure functional correctness and operational readiness
  • Adhere to governance, change management, and Front Office risk controls
  • Interaction Model
  • Daily collaboration with Quant teams on model integration and enhancements
  • Regular interaction with Front Office Technology stakeholders
  • Close coordination with QA, Release, and Production Support teams
  • Engagement with external vendors (e.g., Murex) as required for model or platform changes

Skills Must have
  • Strong, hands on C++ development experience in a production environment
  • Experience integrating Quant or pricing libraries into trading or risk platforms
  • Ability to work directly with Quants and translate quantitative concepts into robust C++ implementations
  • Strong debugging and troubleshooting skills in Linux/Unix environments
  • Experience supporting UAT and production environments in Front Office systems
  • Strong understanding of software quality, performance, and stability in risk sensitive platforms

Nice to have
  • Exposure to Python (for prototyping, tooling, or Quant collaboration)
  • Strong knowledge of Equity (particularly autocalls and structured products) or Fixed Income Derivatives
  • Understanding of pricing models, Greeks, sensitivities, and risk calculations
  • Experience with Murex Flex (Flex libraries, APIs, integration patterns)
  • Experience with performance sensitive or numerically intensive systems
  • Exposure to GPU programming (CUDA, OpenCL, or similar) for computational acceleration
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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