Software Engineer - Model Performance

Baseten; San Francisco (CA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Competitive compensation with equity

100% medical, dental, and vision insurance

Generous PTO policy

Paid parental leave

Company‑facilitated 401(k)

Job summary

A leading AI technology company based in San Francisco is seeking a motivated Software Engineer to enhance ML performance. This role involves implementing advanced techniques for ML model inference, collaborating in a dynamic team, and tackling performance optimization challenges. Ideal candidates will have a relevant degree, programming experience (Python or C++), and familiarity with LLM optimization. This position offers competitive compensation, comprehensive health coverage, and generous PTO policies.

Qualifications

• Degree in Computer Science, Engineering, Mathematics, or related field.
• Experience with general‑purpose programming languages.
• Familiarity with LLM optimization techniques.

Responsibilities

• Implement and productionize techniques for ML model inference.
• Deep dive into codebases to debug ML performance issues.
• Collaborate with a diverse team to design solutions.

Skills

Experience with Python or C++

Familiarity with LLM optimization techniques

Strong familiarity with PyTorch

Understanding of GPU architecture

Education

Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or related field

Tools

TensorRT

CUDA

Docker

Kubernetes

Job description

About Baseten

Baseten powers mission‑critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting‑edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI 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

• 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, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employee and dependents.
• Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!).
• Paid parental leave.
• Company‑facilitated 401(k).
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now

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.

Compensation Range: $150K – $250K