18 of 18 Remote CUDA Jobs

Strong mathematical and analytical problem-solving skills. Desirable Skills: Experience with C# .NET, WinForms, WPF, or the Qt/QML framework, or HTML5. Experience in GPU programming (e.g., OpenCL, CUDA). Knowledge of AI and Machine Learning techniques. Expertise in graphics development (2D/3D) using technologies such as OpenGL, OpenGL Shaders, VTK, OSG, or Vulkan. Why apply for More ❯

Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/geology problems would be advantageous. Due to specific requirements, applicants without the relevant project experiences will not be considered (similarly exposure to More ❯

Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/geology problems would be advantageous. Due to specific requirements, applicants without the relevant project experiences will not be considered (similarly exposure to More ❯

CPU (ARM/x86/Qualcomm) and GPU architectures (NVIDIA) - experience with Qualcomm is a must Experience with state-of-the-art performance toolkits, software stacks and profiling tools (Cuda/CuDNN/TensorRT, Jit + Jax) Proficient knowledge of Python, C/C++, PyTorch, TensorFlow, Keras Fundamental knowledge of ARM/x86 assembly Fundamental knowledge about parameter efficient … software platforms in the field of AI/ML Ensure that every bit of available performance is used for the best possible user experience Technologies: AI ARM Android Cloud CUDA Embedded Hardware Keras Linux Machine Learning Mobile PyTorch Python TensorFlow C++ More: Cinemo is a global provider of highly innovative infotainment products that make every screen an opportunity. Its More ❯

PyTorch internals and other major ML frameworks. Experience optimizing deep learning performance on accelerator hardware. Solid knowledge of deep learning algorithms and compute patterns. Strong programming skills in C++, CUDA, or OpenCL. Background in performance profiling and optimization. BS/MS in Computer Science, Electrical Engineering, or a related field. Interested? Send your CV to to apply. More ❯

Proficient using Git version control Strong problem-solving abilities and communication skills Desirable skills: Experience in UI development e.g. ImGui Understanding of multithreading techniques Experience with GPU programming e.g. CUDA Experience with a messaging framework, e.g. NATS, RabbitMQ Experience with low level graphics APIs such as OpenGL Experience working in and configuring cloud environments (e.g. AWS, Azure, GCP) Experience More ❯

Good oral and written English skills "Nice To Have" Skills and Experience : Experience with ML software frameworks (e.g. PyTorch) Familiarity with ML hardware accelerators (e.g. NPUs, TPUs, GPUs with CUDA support) Knowledge of optimising and profiling software Experience with assembly programming Software development and integration on Linux, Android, or similar systems Knowledge of scripting languages, including Python In Return More ❯

above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience Desirable Strong software engineering experience in Python and other relevant languages (e.g. C++ and CUDA) Direct experience working in at least one of computer vision, robotics, simulation, graphics, or large language models. MS, or above in Machine Learning, Computer Science, Engineering, or a related More ❯

BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience Strong software engineering experience in Python and other relevant languages (e.g. C++ and CUDA) Direct experience working in at least one of computer vision, robotics, simulation, graphics, or large language models. MS, or above in Machine Learning, Computer Science, Engineering, or a related More ❯

catastrophe modelling, actuarial science, quantitative finance, or data science. Statistical Modelling Expertise: Real-world commercial experience in statistical modelling and probability. Programming Skills: Proficiency in scientific Python (essential), Spark, CUDA, and SQL. Familiarity with Databricks is a plus! Problem Solver: Strong analytical skills with the ability to work independently and collaboratively. Communication Skills: Ability to present complex technical information More ❯

catastrophe modelling, actuarial science, quantitative finance, or data science. Statistical Modelling Expertise: Real-world commercial experience in statistical modelling and probability. Programming Skills: Proficiency in scientific Python (essential), Spark, CUDA, and SQL. Familiarity with Databricks is a plus! Problem Solver: Strong analytical skills with the ability to work independently and collaboratively. Communication Skills: Ability to present complex technical information More ❯

catastrophe modelling, actuarial science, quantitative finance, or data science. Statistical Modelling Expertise: Real-world commercial experience in statistical modelling and probability. Programming Skills: Proficiency in scientific Python (essential), Spark, CUDA, and SQL. Familiarity with Databricks is a plus! Problem Solver: Strong analytical skills with the ability to work independently and collaboratively. Communication Skills: Ability to present complex technical information More ❯

create insights, that's a plus. Deeper systems knowledge. Extra experience with any of the following would be an asset: developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you've worked with embedded More ❯

or create insights, that's a plus. Deeper systems knowledge. Extraexperience with any of the following would be an asset: developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you've worked with embedded More ❯

vision Familiarity with deep learning frameworks (PyTorch, TensorFlow, scikit-learn) Knowledge of CPU/GPU architecture and optimisation Experience with tools such as Visual Studio, gcc, CMake, Git, OpenCV, CUDA, Halcon, etc. Python or C# knowledge is considered a plus Familiarity with quality assurance practices including automated testing Professional proficiency in French and English are both required What's More ❯

ML codebases Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s) Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops Strong software-design instincts: testing, code review, CI/CD Self-starter, low-ego, collaborative Benefits France Competitive cash salary and equity Food: Daily lunch More ❯

models. The focus of this work is efficiency and run-time improvements of the simulations through the optimisation of GPU and CPU code. Essential experience: : C/C++ and CUDA programming : Object-Oriented Programming : GPU/CPU optimisation : GPU/CPU Memory Management : Technical report writing Desirable experience : Network Programming : Configuration control and model release processes : Continuous Integration and More ❯

models. The focus of this work is efficiency and run-time improvements of the simulations through the optimisation of GPU and CPU code. Essential experience: : C/C++ and CUDA programming : Object-Oriented Programming : GPU/CPU optimisation : GPU/CPU Memory Management : Technical report writing Desirable experience: : Network Programming : Configuration control and model release processes : Continuous Integration and More ❯