Research Engineer - AI Infrastructure

Applied Intuition, a leading vehicle intelligence company founded in 2017, is seeking a Research Engineer for their AI Infrastructure team. This role combines infrastructure engineering expertise in machine learning pipelines with AI research engineering, working across the entire AI lifecycle. The position is based in Mountain View, CA, with an in-office work culture.

The role involves designing and building training and evaluation infrastructure to support AI research directions, working with massive GPU clusters to process petabytes of multimodal sensor data. You'll create robust benchmarking systems, develop scalable data sampling solutions, and work across cloud environments for distributed training. The position requires collaboration with AI research and autonomy teams, using technologies like PyTorch, CUDA, Ray, Flyte, and Kubernetes.

The ideal candidate should have strong experience in building production-level ML software components and understanding of company-wide ML platforms. Knowledge of the open source landscape and excellent problem-solving skills are essential. The position offers comprehensive benefits including health/dental/vision insurance, 401k with employer match, learning stipends, and competitive compensation ranging from $153,000 to $222,000 annually.

Applied Intuition serves major automotive companies, defense programs, and various industries including trucking, construction, and agriculture. The company has a global presence with offices across the US, Europe, and Asia. This role offers an opportunity to work on cutting-edge AI infrastructure while contributing to the development of safe, AI-driven machines.