Software Engineer - Model Performance

Position Overview

• Location Type: [Not Specified]
• Employment Type: Full-Time
• Salary: $150K - $250K

Baseten is a rapidly growing startup revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by investors like IVP, Spark Capital, Greylock, and Conviction, they work with leading AI innovators such as Descript, Bland.ai, Patreon, Writer, and Robust Intelligence. They recently secured $75 million in Series C funding and are focused on making AI accessible across all products. This role is for a Software Engineer focused on ML performance, ideal for someone passionate about LLM Inference and building transformative solutions.

Requirements

• Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
• Experience with one or more general-purpose programming languages, such as Python or C++.
• Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching).
• Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM.
• Demonstrated interest and experience in LLM’s.
• Deep understanding of GPU architecture.

Responsibilities

• Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, kv cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure.
• Deep dive into underlying codebases of TensorRT, PyTorch, TensorRT-LLM, vllm, sglang, CUDA, and other libraries to debug ML performance issues.
• Apply and scale optimization techniques across a wide range of ML models, particularly large language models.
• Collaborate with a diverse team to design and implement innovative solutions.
• Own projects from idea to production.

Bonus Points

• Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs).
• Experience with CUDA or similar technologies.
• Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions.
• Experience with Docker and Kubernetes.

Benefits

• Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums).
• Opportunity to be part of a rapidly growing startup in a dynamic field.
• Inclusive and supportive work culture.
• Exposure to a variety of technologies.