Software Engineer Job at Signify Technology in San Francisco

Overview Were hiring a Software Engineer focused on GPU performance to help build the next wave of AI infrastructure from the ground up. Join a cutting-edge team working to optimize AI model training and inference with a deep focus on CUDA, GPU kernel tuning, and PyTorch internals. Youll play a key role in pushing performance boundaries at every level of the stack from low-level kernels to high-level agent systems. Software Engineer, AI What Youll Do Design and optimize custom GPU kernels to accelerate deep learning workloads Work at the intersection of CUDA programming, compilers, and model internals Dive deep into PyTorch internals, modifying and extending where needed Build and scale infrastructure for AI agents, with a focus on fast, efficient inference Collaborate closely across research and systems teams to push model performance forward What We're Looking For Proven experience with CUDA and GPU-level performance engineering Strong understanding of AI inference, training systems, or model internals Exposure to compilers, low-level memory management, or systems performance tools Familiarity with PyTorch internals or similar ML frameworks A mindset for clean, efficient, and scalable systems design Were solving real problems with real impact and building the infrastructure to support powerful, autonomous AI agents. If you enjoy getting deep into the stack, optimizing code that actually moves the needle, and collaborating with a high-caliber technical team this ones for you. Apply now or drop us a message to learn more! Seniority level Associate Employment type Full-time Job function Software Development Industries Software Development #J-18808-Ljbffr