ABOUT BASETEN
Baseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. 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. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand.
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, 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 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.
Top Skills
What We Do
At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.
Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models.
We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic.
Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature
