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…
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…
Notable recent funding: $300M Series E (company disclosure)
Company Overview
Problem Domain
Production inference and serving for machine-learning models (including LLMs) with emphasis on scalability, performance, and cost control.
Founded
2019
Industry
Software Development
Funding Track Record
Series B- March 2024
$40M
Series C- February 2025
$75M
Series D- September 2025
$150M
Series E
$300M
Company disclosure reporting $300M Series E at $5B valuation
Investor Signal
“Baseten has raised late-stage rounds with participation from investors including Bond, IVP, CapitalG, Spark Capital, NVIDIA, Greylock, Conviction, 01 Advisors, BoxGroup, and others.”
Founders
What we do
Join the Team
Senior Software Engineer
On-SiteSan Francisco Bay Area, New York, US
On-Site • San Francisco Bay Area, New York, US
Related Companies
Company
HQ
Industry
Total Funding
Weights & Biases
🇺🇸US
Software
$250M
Modular
🇺🇸US
Data and AnalyticsDeepTechInformation TechnologySoftware
$380M
SuperAnnotate
🇺🇸US
Data and AnalyticsDeepTechHardwareInformation TechnologySoftware
$18M
LangChain
🌍Remote
Data and AnalyticsDeepTechInformation TechnologySoftware
-
Hebbia
🇺🇸US
Data and AnalyticsDeepTechInformation TechnologySoftware
$160M
Who you are
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
What the job involves
Benefits
Remote-first work environment. The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. Today, our team (including our founding team) is spread across the United States, Canada, and Armenia. We provide a $1,000 stipend for you to make your home-office comfortable and productive
Regular in-person team summits. We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better
Unlimited PTO. We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day
Full healthcare coverage. Medical, dental and vision insurance for you and your family
Startup jobs. A lot of them.
Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.
52,000+
Startups
58,000+
Open Roles
2,400+
New This Week
Data Scientist
InternshipBelgrade, RS
Internship • Belgrade, RS
AI Researcher
Part-timeManchester, GB
Part-time • Manchester, GB
AI Researcher
ContractNew York, US
Contract • New York, US
Frontend Developer
ContractCambridge, GB
Contract • Cambridge, GB
Mobile Developer
Full-timeSan Francisco, US
Full-time • San Francisco, US
Mobile Developer
Full-timeNovi Sad, RS
Full-time • Novi Sad, RS
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
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
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
Paid parental leave. 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work
Company-sponsored 401(k) for you to contribute to
Learning and development budget. We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen
