1 to 25 of 102 Permanent 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 ❯

in C++ (and ideally C or Fortran). - Further experience with C# (including WinForms, WPF, QML Frameworks) would be desirable. - Strong numeracy and understanding of mathematical modelling. - Experience with CUDA, multithreading, AI/ML would be advantageous. - Any exposure to 3D/2D graphics development (OpenGL, Vulkan) would be beneficial. The company offers an excellent remunerations package including annual More ❯

in C++ (and ideally C or Fortran). Further experience with C# (including WinForms, WPF, QML Frameworks) would be desirable. Strong numeracy and understanding of mathematical modelling. Experience with CUDA, multithreading, AI/ML would be advantageous. Any exposure to 3D/2D graphics development (OpenGL, Vulkan) would be beneficial. The company offers an excellent remunerations package including annual More ❯

ML techniques to solve real-world problems Demonstrated use of High Performance Computing (HPC) Systems Demonstrated use of accelerated computing, numerical analysis, applied mathematics Demonstrated proficiency with Python, C++, CUDA Demonstrated proficiency with one or more machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Keras) Demonstrated proficiency using libraries and toolkits including: TensorFlow, PyTorch Experience with Git and More ❯

experience in compiled languages such as C, C++ or Fortran and experience with interpreted environments such as Python. Parallel programming experience, with relevant programming models such as OpenMP, MPI, CUDA, OpenACC, HIP, PGAS languages, etc is highly desirable. Your personal skills include: Strong team spirit but capable of independence. Ability to represent oneself and the team both inside and More ❯

and Jenkins Experience with Git Source Control System Position Desired Skills Experience with HPC open-source parallel computing frameworks such as OpenSHMEM, pthreads, OpenMP, MPI, and UPC Experience with CUDA and/or OpenCL frameworks to develop software for GPUs Experience with the Atlassian Tool Suite (JIRA, Confluence) Familiar with Agile software development principles, methodologies, and best practices Title … and Jenkins Experience with Git Source Control System Position Desired Skills Experience with HPC open-source parallel computing frameworks such as OpenSHMEM, pthreads, OpenMP, MPI, and UPC Experience with CUDA and/or OpenCL frameworks to develop software for GPUs Experience with the Atlassian Tool Suite (JIRA, Confluence) Familiar with Agile software development principles, methodologies, and best practices More ❯

Design and implement state-of-the-art RL/SL algorithms drawn from the latest literature Rapidly prototype in Python/JAX/PyTorch, then port to embedded C CUDA Develop Physics-Based Autonomy to perform Mission Planning & Decision-Making Apply supervised learning, reinforcement learning, and other AI/ML techniques to high-fidelity astrodynamics planning and controls problems … software engineering best practices and standards, with experience in simulation development for space vehicle applications. This includes Demonstrated experience in Embedded Software, Space Flight Software, or Simulation Software Python, CUDA, C/C++ programming experience Strong interest in space, national security, and related mission areas U.S. citizenship Preferred Qualifications: A PhD in Computer Science with a focus on Reinforcement 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 ❯

Qualifications Master's degree in Computer Science, Data Science, Engineering, Math, Statistics, Operations Research or related field or equivalent experience 2+ years programming experience in Python, R, Julia, TensorFlow, CUDA, JavaScript, Scala, Java, Unix/Linux, C, C++ Proactive self-starter capable of finding and solving problems with little guidance Experience implementing and utilizing Generative AI (such as large 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 ❯

of design, development, requirements verification, test planning, test execution, and data analysis Experience with algorithm implementation in software for real time systems, especially radar and/or remote sensing CUDA experience preferred Proficiency in radar simulation tools (MATLAB) Capable of working in a team environment and interacting with team members to ensure effective communication and alignment including mentoring of More ❯

Master's degree and at least 5 years of applicable experience; or PhD and at least 2 years of applicable experience. Equivalent experience will be considered Nice to have: CUDA experience Expertise in radar simulation tools (MATLAB) Active Top Secret clearance Applicable knowledge of target detection Applicable domain experience in one or more of the following areas: Electronic Warfare More ❯

non-technical stakeholders on security topics Familiarity with the AI/ML hardware stack (e.g., GPUs, TPUs, data center design) Familiarity with the AI/ML software stack (e.g., CUDA, PyTorch, TensorFlow, Ray) Experience working on AI research, ML model training, or model deployment Experience with securing AI systems Education Requirements RAND is hiring multiple Visiting AI Security Residents More ❯

software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact More ❯

managing resources for efficiency. ACTIVE Top Secret with SCI and Polygraph Required Technologies: Python Ray and FastAPI Autogen and other agentic frameworks PyTorch, Tensorflow, Keras, and Scikit Experience using CUDA and NVIDIA GPU accelerated libraries Entry Level: Bachelor's degree and 1+ year of experience or Master's degree and 0 years of experience. Compensation range More ❯

and/or frequency geolocation technologies and their implementation in signal processing applications. C Python-Based Tools: • Experience with C Python-based signal processing tools and libraries. GPU/CUDA Development: • Knowledge of GPU/CUDA development for performance optimization in signal processing applications. Message Queue Implementation: • Experience with message queue implementation and communication protocols for efficient data More ❯

. A proactive ownership mindset and the ability to navigate ambiguity. Excellent collaboration and communication skills for working effectively with teams and stakeholders. Ideally Professional experience GPGPU programming (e.g., CUDA, Triton) for performance optimization. Experience building and maintaining widely-used internal or open-source libraries. Familiarity with the machine learning development lifecycle and core concepts (e.g., bias-variance tradeoff More ❯

non-technical stakeholders on security topics Familiarity with the AI/ML hardware stack (e.g. GPUs, TPUs, data center design) Familiarity with the AI/ML software stack (e.g. CUDA, PyTorch, TensorFlow, Ray) Experience working on AI research, ML model training, or model deployment Experience with securing AI systems Education Requirements RAND is hiring a Research Lead at either 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 ❯

or frequency geolocation technologies and their implementation in signal processing applications. C/Python-Based Tools: Experience with C/Python-based signal processing tools and libraries. GPU/CUDA Development: Knowledge of GPU/CUDA development for performance optimization in signal processing applications. Message Queue Implementation: Experience with message queue implementation and communication protocols for efficient data More ❯

code on Linux or embedded platforms. Demonstrated ability to deliver production quality, well tested code in collaborative, fast moving environments. Preferred Qualifications Familiarity with GPU or edge AI acceleration (CUDA, TensorRT, Vulkan, or similar). Experience deploying perception pipelines on resource constrained hardware. Publications in multimodal sensing/neural representations/SLAM for robotics or autonomous navigation in journals More ❯

Liquibase and Ansible Familiarity with AWS DESIRED QUALIFICATIONS Interested in working with multiple different technologies on a daily basis. Experience with container technologies (Docker, Kubernetes) a plus Familiarity with CUDA programming and GPU architecture. Capable of delivering on multiple competing priorities with little supervision. Excellent verbal and written communication skills. A candidate must be a US Citizen and requires More ❯

deploying SLAM solutions Proficiency in C++ The nice-to-haves PhD in computer vision or robotics Experience with machine learning techniques for geometric and semantic estimation GPU programming skills (CUDA, OpenCL, Vulkan, Metal) Experience with embedded software development All about us We're a London-based startup founded by visual SLAM algorithm pioneers. Having raised over $30M in funding More ❯

language, vision and other modalities, machine learning for molecules and proteins (ideally with some background in chemistry and biological sciences) . Lower-level programming for hardware efficiency, e.g. C CUDA/Triton. Practical familiarity with hardware capabilities for deep learning - threads, caches, vector & matrix engines, data dependencies, bus widths and throttling. Practical familiarity with software stacks for deep learning More ❯

language, vision and other modalities, machine learning for molecules and proteins (ideally with some background in chemistry and biological sciences). Lower-level programming for hardware efficiency, e.g. C CUDA/Triton. Practical familiarity with hardware capabilities for deep learning - threads, caches, vector & matrix engines, data dependencies, bus widths and throttling. Practical familiarity with software stacks for deep learning More ❯