Software Engineer - Model Performance

ABOUT BASETEN

Baseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.

THE ROLE

Are you passionate about advancing the application of artificial intelligence? We are looking for a Software Engineer focused on ML performance to join our dynamic team. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM Inference. If you are a backend engineer who thrives on making things faster and is excited about open-source ML models, we look forward to your application.

EXAMPLE INITIATIVES

You'll get to work on these types of projects as part of our Model Performance team:

• Baseten Embeddings Inference: The fastest embeddings solution available

• The Baseten Inference Stack

• Driving model performance optimization

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.

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.

• Bonus:

  • 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 (Flexible PTO, 401k, covered healthcare premiums).

• This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.

• An inclusive and supportive work culture that fosters learning and growth.

• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.