GPU Engineer

Salary: USD87360 - USD104000 per year Job Summary A GPU Engineer designs, develops, and optimizes software and systems that run on Graphics Processing Units (GPUs). The role focuses on high‑performance computing, graphics rendering, or compute workloads such as AI/ML, computer vision, and scientific simulations, ensuring maximum performance, scalability, and efficiency. Key Responsibilities Design, develop, and optimize GPU‑accelerated software solutions Write and maintain high‑performance code using CUDA, OpenCL, Vulkan, DirectX, or Metal Optimize memory usage, latency, and throughput on GPU architectures Develop and debug graphics pipelines , shaders, or compute kernels Profile GPU performance and resolve bottlenecks using diagnostic tools Collaborate with CPU, driver, and hardware teams to ensure efficient integration Support AI/ML workloads by accelerating neural networks and data pipelines Analyze and adapt algorithms for parallel processing Ensure code scalability across different GPU architectures Document designs, performance benchmarks, and optimization strategies Required Qualifications Bachelor’s in Computer Engineering, Electrical Engineering, Computer Science , or related field Strong programming skills in C/C++ and at least one GPU programming framework (CUDA, OpenCL, etc.) Deep understanding of parallel computing concepts Experience with GPU memory models , threads, and synchronization Familiarity with graphics APIs (OpenGL, Vulkan, DirectX) or compute APIs Experience debugging and profiling GPU applications Preferred Qualifications Experience with AI/ML frameworks (TensorFlow, PyTorch, ONNX) Knowledge of computer graphics , ray tracing, or real‑time rendering Familiarity with driver-level or kernel-level GPU development Experience optimizing for embedded or mobile GPUs Understanding of hardware architecture (SMs, warps, caches, pipelines) Tools & Technologies NVIDIA CUDA / Nsight AMD ROCm Python for experimentation and tooling Performance profiling and benchmarking tools Soft Skills Strong problem-solving and analytical skills Ability to explain complex performance concepts clearly Collaboration across hardware, firmware, and software teams Attention to detail and performance trade‑offs #J-18808-Ljbffr Ultimate Staffing Services