Baseten
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
As a Senior Infrastructure Software Engineer at Baseten, you'll architect and lead development of our ML inference platform that powers production AI applications. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor ML models with high performance and reliability.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity management Inference on B200 GPUs Multi-node inference Fractional H100 GPUs for efficient model serving RESPONSIBILITIES
Design and architect scalable infrastructure systems for our ML inference platform Lead optimization of Kubernetes deployments for efficient, cost-effective model serving Drive enhancements to our inference orchestration layer for complex model deployments Define monitoring strategies for model performance, latency, and resource utilization Develop advanced solutions for GPU capacity management and throughput optimization Establish infrastructure automation standards to streamline ML deployment workflows Partner with other engineers to translate complex inference requirements into technical solutions Make critical architectural decisions balancing performance with system reliability Lead technical discussions and mentor junior engineers on infrastructure best practices Contribute to long-term technical strategy and infrastructure roadmap REQUIREMENTS
Bachelor's degree or higher in Computer Science or related field 5+ years experience building production infrastructure systems Expert-level proficiency in Go, with Python experience a plus Deep expertise with Kubernetes in production environments Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus. Advanced understanding of distributed systems concepts and performance tuning Proven experience designing observability systems Track record of leading technical initiatives and mentoring engineers Experience with ML/AI workloads and MLOps platforms highly valued BENEFITS
Competitive compensation package. 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.
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
As a Senior Infrastructure Software Engineer at Baseten, you'll architect and lead development of our ML inference platform that powers production AI applications. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor ML models with high performance and reliability.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity management Inference on B200 GPUs Multi-node inference Fractional H100 GPUs for efficient model serving RESPONSIBILITIES
Design and architect scalable infrastructure systems for our ML inference platform Lead optimization of Kubernetes deployments for efficient, cost-effective model serving Drive enhancements to our inference orchestration layer for complex model deployments Define monitoring strategies for model performance, latency, and resource utilization Develop advanced solutions for GPU capacity management and throughput optimization Establish infrastructure automation standards to streamline ML deployment workflows Partner with other engineers to translate complex inference requirements into technical solutions Make critical architectural decisions balancing performance with system reliability Lead technical discussions and mentor junior engineers on infrastructure best practices Contribute to long-term technical strategy and infrastructure roadmap REQUIREMENTS
Bachelor's degree or higher in Computer Science or related field 5+ years experience building production infrastructure systems Expert-level proficiency in Go, with Python experience a plus Deep expertise with Kubernetes in production environments Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus. Advanced understanding of distributed systems concepts and performance tuning Proven experience designing observability systems Track record of leading technical initiatives and mentoring engineers Experience with ML/AI workloads and MLOps platforms highly valued BENEFITS
Competitive compensation package. 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.