69 Gpu Programming Jobs - Page 3

Python, Deep Learning, Object Detection, Classification, Segmentation., GPU acceleration (CUDA, cuDNN). Model Optimization (pruning, quantization), deploying models to edge devices. Required Candidate profile willingness to explore and contribute to Generative AI and cloud-based AI solutions, C/C++., AWS Cloud AI/ML tools, exposure to GenAI frameworks like OpenAI, Stable Diffusion

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetim...

You will be an integral part of TuriyamAI's team, focused on developing and optimizing math libraries for AI applications on our next-generation AI hardware. Your role will involve collaborating with hardware and software developers to ensure seamless integration of math libraries, as well as staying updated with the latest advancements in AI and math library development. Additionally, you will be responsible for designing, optimizing, and validating math libraries to achieve hyper-optimized solutions for AI workloads. To excel in this position, you should possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Mathematics, Computer Engineering, or a related field, along with at...

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetim...

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We are looking for Developer Advocates to enable developers building with generative AI and AI-driven hardware applications. You will engage with the community, create resources to onboard developers on our platforms. Qualcomm products touch multiple industries and applications. These applications span across mobile, laptops, mixed-reality, robotics, industrial IoT, among others. You will closely collaborate with product, e ngineering and regional sales teams to drive awareness and engagement for our platforms. You are a builder. You love to write code, more so, bring AI models to various a pplications. You...

Experience in Display Device Driver Development is must Strong Experience in C Programming and Data structure Strong experience in Linux BSP/Driver Development Strong Experience in RTOS/Zephyr and Low Level BareMetal Driver/Firmware is a plus Expertise in HDMI driver and protocol, DRM Analytical mindset and critical thinking Excellent communication and interpersonal skills

CUDA is a must JD For Senior / Lead Engineer (HPC GPU):- As a Senior / Team Lead (HPC) you will provide leadership in designing and implementing groundbreaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for accelerating our deep learning models. As an expert, you will help us with the strategic challenges we encounter, including compute, networking, and storage design for large scale, high-performance workloads, effective resource utilization in a heterogeneous computing environment, evolving our private/public cloud strategy, capacity...

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devicesBe part of the group that is working on technology that will bring “Cognition” to all connected devicesThat means devices that don’t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect Engineer to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, compu...

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devicesBe part of the group that is working on technology that will bring “Cognition” to all connected devicesThat means devices that don’t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer visio...

Python, Deep Learning, Object Detection, Classification, Segmentation., GPU acceleration (CUDA, cuDNN). Model Optimization (pruning, quantization), deploying models to edge devices. Required Candidate profile willingness to explore and contribute to Generative AI and cloud-based AI solutions, C/C++., AWS Cloud AI/ML tools, exposure to GenAI frameworks like OpenAI, Stable Diffusion

raja.a@honeybeetechsolutions.com resume to FTE CLIENT PROXELERA / SASKEN 1. Strong hands-on experience in Linux (preferably Ubuntu or embedded Linux) 2. Experience in benchmarking CPU and GPU performance 3. Exposure to Android (performance optimization, debugging, or system-level work) 4. Experience working on x86 or ARM SoCs (e.g., AMD, Intel, Qualcomm, NVIDIA) 5. Demonstrated execution mindset individuals who are curious, quick learners, self-driven, and bring strong ownership and focus 6. 8+ years of relevant industry experience 7. Immediate availability or ability to onboard at short notice

Strong programming experience in Python, Solid background in deep learning, CNNs, and transfer learning and Machine learning basics, object detection, classification, segmentation, PyTorch, TensorFlow, and ONNX, GPU acceleration (CUDA, cuDNN).

Embedded platform development (Linux based distributions) & maintenance Linux build system expertise, packaging (RPM specification), build automation tool System Software (File system, Memory Management, Thread programming, Process Management, Platform Driver development/Integration, IPC, logging) Understanding about Compiler, toolchain development Different CPU Scheduling concept (SMP, HMP, FIFO, RT) System Level IPC expertise (User space, applications, middleware, kernel), logging framework System Level+B9 policies (memory, scheduler, CPU, hotplug) Platform porting & Reference Platform development on multiple chip-set Defect root-cause analysis & debugging utils (A9:G9gdb, objdump, Backtra...

Blubridge is an LLM research lab focused on building next-generation Large Language Models and foundational AI systems. Alongside our research, we operate in the AI Consulting domain, delivering innovative AI solutions. We are rapidly scaling our GPU infrastructure and seeking a skilled Hardware/Systems Engineer to lead our compute backbone. Key Responsibilities: Architect, configure, and maintain high-performance GPU systems (H100, H200, B200, etc.) Design compute nodes and interconnects using PCIe, SXM, NVLink, InfiniBand Manage data center setups: rack layout, cooling, power, UPS/load balancing Build and maintain storage solutions (NVMe RAID, NAS/SAN) for AI workloads Benchmark and optimi...

Minimum Qualifications: Experienced candidates (1 - 4 years) are welcome to apply with experience in the following area: Strong academic records (GPA 3.0 or 72% and better) Excellent programming skills in C/C++, Python Strong problem-solving skills Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal) Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Basic understanding of machine learning, computer vision, and digita...

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devices? Be part of the group that is working on technology that will bring "Cognition" to all connected devicesThat means devices that don"™t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect Engineer to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, co...

Develop and optimize HPC applications and algorithms using CUDA, MPI, OpenMP on Azure and cluster systems. Support scientific teams by modernizing codebases and enabling GPU acceleration. Required Candidate profile Software engineer with 5+ years in HPC programming, scientific code optimization, GPU computing, and collaboration with research teams.

- Develop and maintain high-performance applications using C++ and CUDA. - Design and implement parallel algorithms for GPUs to accelerate computational workloads. - Performance Optimization, Code Review & Testing, & Documentation Required Candidate profile - Parallel Computing: Solid understanding of parallel algorithms and multi-threaded programming. - GPU Optimization: Familiarity with memory hierarchy, shared memory, streams, and warp-level operation

Hiring AI/ML Architect | Lead GPU-based Deep Learning Infra Design | Expert in Performance Tuning, CV Algorithms, Cloud Strategy, Resource Optimization | Strong Leadership, Benchmarking, and Team Mentoring Skills | Apply now!