Experienced CUDA/C++ Developer for Short Task Collaboration

@mahmoudralizadeh

Debugging tensor indexing and convolution kernel mismatches against PyTorch reference output is exactly the kind of correctness-first, low-level work I gravitate toward. I don't want to oversell — my 15+ years are in embedded C/C++ (STM32, real-time Linux, radar signal processing, ISO 8583 systems), not CUDA specifically. But the core skill set overlaps heavily: memory-layout reasoning, race-condition/concurrency debugging, and squeezing performance out of constrained hardware — I've done this daily, just at the CPU/microcontroller level instead of GPU. If you're open to someone ramping up fast on CUDA fundamentals while contributing real debugging rigor from day one, I'd like to try a paid trial task before committing to a long-term rate. Quick questions: are the failing kernels custom-written or ported from existing PyTorch ops, and is the correctness gap usually numerical precision or actual logic bugs? I'm on AnyDesk/TeamViewer, available for the hourly task structure — happy to discuss further.

@devendrathakur12

Hello I have gone through your specific requirement for CUDA kernel optimization. I built something like this for an AI client with 4 custom CUDA inference pipelines. I would profile with Nsight Compute instead of guessing from timings because memory stalls often hide the real bottleneck. I will debug the CUDA C++ code directly over AnyDesk and fix tensor indexing before chasing speed, at least that is where I would start. But I can benchmark each change with Nsight Systems because every optimization should show a measurable gain. I can show profiling screenshots and code samples. Which CUDA version and GPU are you using? I want to get clear on the failing kernels before starting. Free for a quick call today? Devendra Singh

@opencollar

Hi, I noticed you want help with CUDA kernel fixes and optimizing GPU tasks, those can be tricky but I enjoy making GPU work better. I’ve done projects like the Car-fleet Management system and the Filestorage app, fixing performance issues and debugging CUDA code. I will handle other features like benchmarking and profiling too, by analyzing where the bottlenecks are and fine-tuning the code. Do you want the GPU optimizations to work for specific hardware or just general improvements? Let’s discuss a plan and build something bigger together. Regards, Nick.

@corpmember29

Hello, I HAVE SUCCESSFULLY WORKED ON SIMILAR GPU ACCELERATION, CUDA/C++ OPTIMIZATION, AND AI PERFORMANCE ENGINEERING PROJECTS AND CAN SHOW YOU MY PREVIOUS WORK. I have carefully reviewed your requirements and understand the need for CUDA kernel debugging, GPU performance optimization, PyTorch CUDA extensions, memory optimization, benchmarking, and improving custom implementations against reference models. I have 10+ years of experience in the required technologies and expertise in C++, CUDA, Python, PyTorch, GPU computing, parallel programming, Linux environments, Git workflows, and performance profiling. I can help with kernel correctness issues, optimization, debugging, and validating high-performance GPU implementations. CUDA/C++ GPU Optimization Developer Core Expertise CUDA Kernel Development C++ Programming GPU Performance Optimization PyTorch CUDA Extensions Parallel Computing GPU Optimization CUDA Memory Optimization CUDA Streams Management Kernel Tuning & Benchmarking GPU Profiling & Debugging Performance Analysis Development Tasks CUDA Kernel Debugging Tensor Operations Optimization Convolution & Normalization Optimization Residual Network Optimization PyTorch vs Custom CUDA Validation Development Environment Linux Development Git/GitHub Workflow Remote Access Support GPU Testing & Validation Long-Term Task Collaboration Thanks Christina

@mayankinnovative

Hello You are looking for an experienced CUDA/C++ developer for long-term collaboration to build high-performance and optimized solutions. I can help you deliver efficient GPU-accelerated applications. CUDA-based development is essential for tasks requiring parallel processing like image processing, simulations, AI, and high-performance computing, ensuring faster execution and scalability. I will help you with: • CUDA-based parallel programming • High-performance C/C++ development • GPU optimization and memory management • Performance tuning and debugging • Integration with existing systems • Scalable and efficient architecture • Long-term support and collaboration I have experience in C/C++ development and performance-focused systems, so I can contribute effectively to your project. A few quick questions: 1 What type of workload (AI, simulation, image processing, etc.) 2 Existing codebase or starting from scratch 3 Target GPU/environment 4 Expected long-term scope I can start immediately and work long-term reliably. Thanks

@abdulhamidh2

Hello I see you need a CUDA/C++ developer for long-term GPU optimization and debugging via remote access. With over 5 years of professional experience in CUDA kernel development, GPU memory optimization, and performance tuning, I’ve successfully debugged and optimized CUDA implementations in PyTorch environments on Linux. I’m very comfortable working through AnyDesk or TeamViewer directly on your PC to deliver precise results efficiently. I can handle up to 3 tasks daily (9 hours max) and ensure thorough validation after each fix or optimization. Could you share more about the current bottlenecks or kernel issues you’re facing? Best regards, AbdulHamid

@toriquldev123

Hello There! I'm Md. Toriqul Islam, and I'm excited to partner with you. I can dive into your project immediately. With over 10 years of experience in C++, CUDA, GPU programming, and performance optimization, I help resolve complex debugging and optimization challenges efficiently. I understand you need assistance with CUDA kernel debugging, tensor indexing fixes, GPU performance tuning, and optimization through a live AnyDesk or TeamViewer session. I can quickly identify bottlenecks, improve memory access patterns, and ensure stable, high performance execution. I have rich experience in CUDA, C++, GPU optimization, multithreading, tensor operations, profiling, and debugging. I'm ready to start immediately and would be happy to work directly in your development environment. Looking forward to hearing from you. Best regards, Md. Toriqul Islam

@shakilan4

Hi, I can help with CUDA/C++ optimization, kernel debugging, GPU performance tuning, and PyTorch CUDA extensions. I have experience with parallel programming, GPU memory optimization, profiling, and resolving CUDA correctness issues while improving execution speed and reliability. I’m comfortable working through AnyDesk/TeamViewer, following your development workflow, and handling long-term task-based collaboration. Regards, Shakila Naz

@emilesd617

Hi, I am a CUDA/C++ developer with 8 years of rich experience in software development, with a background in . I am familiar with C++, CUDA, Python, PyTorch, Linux, GPU optimization, CUDA kernel development, debugging, Git, and parallel programming. For this project, I can help debug and optimize CUDA implementations, improve kernel performance, analyze GPU memory usage, validate CUDA operations against PyTorch references, and handle performance tuning and correctness issues in your development environment. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@ayesha86664

Hi there! I read your project details carefully and understand you need a reliable CUDA developer who can debug, optimize, and validate GPU implementations with accuracy. You're looking for someone who can follow technical instructions and contribute consistently over the long term. I have experience with C++, CUDA kernel development, GPU optimization, Linux, Git, and debugging high-performance applications. I have worked on kernel optimization, memory management, parallel programming, performance tuning, and validating CUDA implementations against expected results. My approach is to carefully analyze each task, fix correctness issues first, and then optimize performance without affecting stability. I follow a structured debugging process, use profiling tools where needed, and ensure every change is tested before completion. I am comfortable working through remote access and maintaining clear communication throughout the project. check our work https://www.freelancer.com/u/ayesha86664 Do your CUDA tasks mainly involve custom PyTorch extensions, or do they also include standalone CUDA applications? Let me know if you’re interested & we can discuss it. Best Regards Ayesha

@edwarddzi8f

Hi, I can help you with your CUDA optimization tasks. I have strong experience with kernel debugging, memory optimization, and PyTorch CUDA extensions. I'm comfortable working via AnyDesk and can handle up to 3 tasks per day. I'm Edward, been doing CUDA/C++ work for years. Let me know if you want to discuss.

@melopgabriel

Hi, your project is a clear fit for hands-on CUDA/C++ work: debugging kernels, validating against PyTorch references, and improving GPU performance once correctness is solid. I’ve worked on CUDA kernels, PyTorch-related GPU code, and performance tuning in Linux environments, with careful attention to indexing, memory access, streams, and correctness checks. I’m comfortable using Git/GitHub, profiling tools, and working through remote desktop access like AnyDesk or TeamViewer directly from my PC. My approach is straightforward: review the task, reproduce the issue, compare behavior with the reference implementation, fix the kernel, and benchmark the result before moving on. I’m used to task-based work and can stay focused on small, well-defined GPU problems. I’m available for consistent long-term collaboration and can adapt to your task flow. Let’s discuss the first task. Best regards, Gabriel

@alluankit01

Hi, I can support your long-term CUDA/C++ optimization and debugging tasks through remote access, including kernel correctness fixes, PyTorch comparison, GPU profiling, benchmarking, and performance tuning. The best solution is to first review each task instruction, current CUDA implementation, expected PyTorch reference output, test cases, and benchmark target. I’ll then debug correctness issues, validate tensor shapes/indexing, compare results against PyTorch, and optimize memory access, streams, and kernel performance after correctness is confirmed. I’m comfortable with C++, CUDA kernels, Python, PyTorch CUDA extensions, Linux, Git/GitHub, GPU memory optimization, CUDA streams, tensor indexing, convolution logic, normalization layers, residual connections, benchmarking, and profiling tools. I can help with: * CUDA kernel debugging * Correctness comparison with PyTorch * Tensor indexing issue fixes * Convolution/normalization debugging * GPU memory optimization * Kernel performance tuning * Benchmarking and profiling * Linux-based development * Git workflow support * Task-wise progress updates Availability: I can handle task-based work and can take up to 2–3 tasks per day depending on task complexity. Preferred remote access: AnyDesk or TeamViewer. I confirm I’m comfortable working directly from my PC through remote connection. Best regards Ankit

@arturg6

Hello, "Optimized CUDA Kernels With PyTorch Integration" - GPU debugging and performance tasks. I will profile each kernel with NVIDIA Nsight to locate bottlenecks, because it gives exact timing data. I built a similar low‑level performance test‑bed for SAS drives on Linux: https://www.freelancer.com/projects/sas/SAS-Drive-Test-Bed-Setup/reviews. Handling CUDA streams and memory alignment can be tricky; I will add automated checks to ensure correct stream usage and optimal memory layout, reducing runtime errors. Which GPU model and CUDA version are you currently using for these tasks? Looking forward to working with you. Artur Giżycki

@guptakishan805

As an experienced Full Stack Developer who has spent the past 5+ years working on a multitude of projects with different focuses, I can safely say that few things excite me as much as working with CUDA and C++. With a strong skill set in C programming, Git, Linux, and PyTorch added to my expertise in parallel programming concepts, kernel performance tuning, and GPU memory optimization among others, I'm confident in my ability to comprehensively address all your CUDA and C++ needs. Throughout my career, I have clearly demonstrated my commitment to delivering high-quality work within set deadlines while ensuring efficient communication. My accurate understanding of project instructions combined with my ability to produce clean and optimized code led me to consistently exceed client expectations. Aside from being technically competent for your remote teamwork structure through AnyDesk or TeamViewer, I understand the significance of dependable support in cultivating long-term relationships. Hence, I offer not just my technical expertise but an unyielding desire to contribute meaningfully in every project. Looking forward to discussing your CUDA tasks and building a productive long-term collaboration.

@jeanpatrickr8

Hello, I am excited to apply for the CUDA Developer position. I understand that you are seeking an experienced CUDA/C++ developer to assist with GPU optimization and debugging tasks, aiming for a long-term collaborative relationship. With over five years of experience in CUDA kernel development and GPU performance optimization, I have successfully tackled numerous projects involving CUDA streams, memory optimization, and parallel programming. I am proficient in using debugging tools to ensure kernel correctness and have worked extensively with PyTorch CUDA extensions. To ensure a successful collaboration, my approach will include: - Assessing existing CUDA implementations to identify performance bottlenecks. - Debugging and fixing correctness issues related to tensor indexing and convolution operations. - Running benchmarks to analyze and optimize kernel performance after achieving correctness. - Providing regular updates and maintaining clear communication throughout the process. I am available to start immediately, can handle up to three tasks per day, and am comfortable using AnyDesk for remote access. I am confident in my ability to deliver quality results and would love to discuss this opportunity further. Thank you for considering my application.

@miguelcen64

Hello, I’m interested in this long-term CUDA/C++ collaboration. I have strong experience debugging and optimizing CUDA kernels, improving correctness first and then tuning for performance using profiling and benchmarking tools in Linux-based workflows. I’m comfortable working through remote access on your development environment via AnyDesk or TeamViewer, and I can follow detailed technical instructions carefully. My background includes kernel debugging, memory optimization, stream usage, tensor indexing issues, convolution-related workloads, normalization paths, and validating custom CUDA behavior against reference implementations such as PyTorch. I’m available for recurring task-based work and can support consistent throughput across the week depending on task volume. Your setup aligns well with how I handle focused GPU debugging and optimization work, and I’d be glad to support this as an ongoing collaboration. Best regards, Miguel

@engruhulajom

Hello Dear, I'm Md Ruhul Ajom, a Full-Stack Web & Mobile App Developer with over 10 years of professional experience, and I'm excited about the opportunity to work with you. I can start your project immediately and am committed to delivering high-quality results. I have extensive experience in web and mobile application development, custom software solutions, API integration, database design, performance optimization, and bug fixing. My expertise includes React, Vue.js, Laravel, PHP, Python, Automation, Twilio, REST API, WordPress, JavaScript, React Native, MySQL, REST APIs, Git, Docker, Linux, SEO, eCommerce, and Shopify I understand you're looking for a reliable developer to build a secure, scalable, and user-friendly solution that meets your business needs. I prioritize clean code, timely delivery, and clear communication throughout the project. I'm ready to discuss your requirements and help bring your vision to life. Best regards, Md Ruhul Ajom

@FreeLancers360

Hi, Thanks for posting "Experienced CUDA/C++ Developer - Remote Long-Term Collaboration -- 2" — it lands right in our wheelhouse, and we'd be thrilled to bring it to life. My goal isn’t simply to finish the task, but to give you real, lasting value for every bit you invest in it. From your brief I can see this involves ai — all areas we handle in-house. We specialise in C Programming, Python, Linux, CUDA, which lines up directly with what you need. How we'd approach it: - Clarify the use-case, inputs and the exact output you expect - Build and integrate the model / automation pipeline - Evaluate accuracy and tune against real examples - Deploy with monitoring and a clear handover Delivering at the scale of 40 hours is no problem for us — we're set up for volume without dropping quality. Happy to work hourly with transparent time tracking and regular check-ins. From kickoff to final handover, I’ll keep things transparent, on schedule, and squarely focused on your goals. If it helps, I can share a couple of relevant samples and a short plan before you decide. Looking forward to it! Best regards, FreeLancers360 Let’s connect in chat and get started — message me anytime and I’ll reply right away!