Baseten
Senior Software Engineer
Baseten, New York, New York, us, 10261
ABOUT BASETENWe're a growing team of builders backed by top-tier investors including IVP, Spark Capital, and Sarah Guo at Conviction. ML teams at enterprises and category-defining AI-native companies like Descript, Bland, and Patreon use Baseten to power their core production workloads with best in class performance, security, and reliability. While we've unlocked PMF and secured Series B funding, the ML infrastructure market is massive and we're just getting started. If you're excited to work on engaging and relevant problems while building something new from the ground up, come join us!Are you passionate about advancing the frontiers of artificial intelligence? We are looking for a Senior Software Engineer focused on model 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 machine learning. 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.
KEY RESPONSIBILITIESImplement, refine, and productionize cutting edge techniques for ML model inference and infrastructure
Deep dive into underlying codebases of TensorRT, Pytorch, Transformers, 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, from writing project specs to managing end-to-end feature implementation
AS AN ENGINEER, YOU HAVE:3 -10 years of experience with one or more general purpose programming languages, including but not limited to Python, C++, or Go
Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions
Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM
Demonstrated interest and experience in machine learning and large language models
Deep understanding of GPU Architecture
Experience with Docker and Kubernetes
We’d also love it if you have experience and interest in growing and leading a team.
BONUS POINTSProficiency in enhancing the performance of software systems, particularly in the context of LLMs
Familiar with LLM optimization techniques (quantization, speculative decoding, continuous batching, etc.)
Experience with CUDA or similar technologies
OUR CURRENT TECH STACKInfrastructure — AWS + Kubernetes + Istio + Knative + Prometheus stack
Backend — Python + Django + Postgres + Redis
Frontend — React + TypeScript + GraphQL
WHAT WE OFFERCompetitive compensation package (Unlimited PTO, 401k, covered healthcare premiums)
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.
KEY RESPONSIBILITIESImplement, refine, and productionize cutting edge techniques for ML model inference and infrastructure
Deep dive into underlying codebases of TensorRT, Pytorch, Transformers, 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, from writing project specs to managing end-to-end feature implementation
AS AN ENGINEER, YOU HAVE:3 -10 years of experience with one or more general purpose programming languages, including but not limited to Python, C++, or Go
Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions
Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM
Demonstrated interest and experience in machine learning and large language models
Deep understanding of GPU Architecture
Experience with Docker and Kubernetes
We’d also love it if you have experience and interest in growing and leading a team.
BONUS POINTSProficiency in enhancing the performance of software systems, particularly in the context of LLMs
Familiar with LLM optimization techniques (quantization, speculative decoding, continuous batching, etc.)
Experience with CUDA or similar technologies
OUR CURRENT TECH STACKInfrastructure — AWS + Kubernetes + Istio + Knative + Prometheus stack
Backend — Python + Django + Postgres + Redis
Frontend — React + TypeScript + GraphQL
WHAT WE OFFERCompetitive compensation package (Unlimited PTO, 401k, covered healthcare premiums)
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.