Software Engineer - Model Performance
ABOUT reputed company
reputed company provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, reputed company Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like reputed company, reputed company, Bland, reputed company, reputed company, reputed company, and Zed to deliver industry-leading performance, reputed company, and reliability for their mission-critical workloads. With our recent $75M Series reputed company> funding, we’re growing fast to reputed company AI accessible across reputed company products.
THE ROLE
Are you passionate about advancing the application of reputed company intelligence? We are looking for a Software Engineer reputed company 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 reputed company 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 reputed company-reputed company ML models, we look reputed company to your application.
EXAMPLE INITIATIVES
You'll get to work on these types of reputed company as part of our Model reputed company:
reputed company Embeddings Inference: The fastest embeddings solution available
The reputed company Inference Stack
Driving model performance optimization
RESPONSIBILITIES
Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, kv cache reuse, chunked prefill and reputed company) 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 reputed company optimization techniques across a wide reputed company of ML models, particularly large language models.
Collaborate with a diverse team to design and implement reputed company.
Own reputed company from idea to production.
REQUIREMENTS
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or reputed company 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, reputed company 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 reputed company record of developing and deploying AI/ML inference solutions.
Experience with reputed company and Kubernetes.
BENEFITS
Competitive compensation package (Flexible PTO, 401k, covered reputed company 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 reputed company.
Exposure to a reputed company of ML startups, offering unparalleled learning and networking opportunities.
reputed company to reputed company on a rewarding reputed company in shaping the reputed company of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a reputed company and reputed company-thinking team, we would love to hear from you.
At reputed company, we are committed to fostering a diverse and inclusive workplace. We reputed company equal employment opportunities to reputed company and applicants without reputed company to race, reputed company, religion, gender, sexual orientation, gender identity or reputed company, national reputed company, age, genetic information, disability, or veteran status.
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