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 Enterprise Platform Engineer at Baseten, you'll architect and lead development of infrastructure and platform features for our enterprise customers and cloud partners. This includes enabling self-hosted and single tenant clusters, region-aware request routing, enterprise-grade data and security integrations, and more.
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
Architect and develop infrastructure and platform features tailored for enterprise customers, including self-hosted clusters, single-tenant environments, and cross-cloud workload orchestration.
Lead technical initiatives to productize secure and scalable private connectivity solutions.
Design and implement solutions addressing the complex regulatory and compliance requirements of our customers, including data residency, auditability, and enterprise data protection.
Advance our self-hosted infrastructure offerings, focusing on capacity management, release management, and observability tooling.
Collaborate on partner-focused initiatives to deliver secure, minimal Baseten deployments within partner environments.
Evaluate and implement emerging virtualization technologies to enhance platform isolation and security.
Independently develop technical specifications, collaborate cross-functionally to define product requirements, and drive projects from conception through execution.
Provide mentorship and leadership on enterprise infrastructure best practices, fostering knowledge-sharing across engineering teams.
REQUIREMENTS
Bachelor's degree or higher in Computer Science or related field
5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production environments
Past experience working with enterprise security, compliance, and privacy requirements
Advanced understanding of distributed systems concepts, cloud architectures, and performance optimization
Demonstrated ability to independently manage technical projects, from planning and specification through implementation
Excellent collaboration and communication skills, with experience coordinating across functional teams and directly with customers
Preferred experience working with AI/ML systems or familiarity with MLOps practices
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.
