Lead Software Engineer

Job Description

You will build and maintain robust pipelines for distributed training on GPU-enabled clusters and manage the model development life cycle. Additionally, you will collaborate with cross-functional teams to integrate new technologies and optimize training throughput for large data sources.

Requirements: The role requires extensive experience in Python, cloud computing, and deep learning frameworks like PyTorch or TensorFlow. Candidates must possess a solid grounding in engineering fundamentals, big data tools, and container orchestration systems such as Kubernetes.

Key Skills: Python, Cloud computing, PyTorch, TensorFlow, Data science, Model deployment, Monitoring, Observability, Big data, Ray, Spark, vLLM, Enterprise system design, Kubernetes, Distributed training, GPU clusters

Benefits: Competitive base salary, Total rewards package, Discretionary incentive compensation, Equity eligibility, Comprehensive healthcare, Wellness benefits, Professional development, Career growth opportunities