Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Develop the core systems for multimodal AI models, focusing on building model serving platforms and enhancing developer experience with tools and APIs.

The Senior HPC & GPU Infrastructure Engineer maintains GPU compute clusters, leads system reliability, manages Linux environments, and optimizes ML infrastructure.

The GPU Kernel Engineer will design and optimize GPU kernels for large-scale AI systems, integrating them into ML frameworks and collaborating across teams to enhance performance.

Lead advanced AI/ML research initiatives, developing novel algorithms and optimizing large-scale training systems. Mentor junior researchers and produce impactful research outputs.

The role involves optimizing and maintaining the software stack for large-scale AI training, focusing on CUDA/ROCm, JAX, and PyTorch to ensure efficiency and stability in distributed training systems.

As a Research Engineer, you'll work on pretraining, scaling, post-training, and deployment of AI models, improving infrastructure and performance.

The Data Scientist role involves creating and managing datasets for LLMs, developing high-throughput data processing scripts, and employing statistical analysis to ensure data quality and performance.

Develop the model serving platform for multimodal AI models, optimizing performance, collaborating with researchers, and ensuring reliable production infrastructure.

The Account Executive will lead the sales operations, managing the full sales lifecycle and creating strategic partnerships with technical buyers to drive revenue growth.