Inference is everything. Baseten is an AI infrastructure platform giving you the tooling, expertise, and hardware needed to bring great AI products to market - fast. Our proprietary Inference Stack utilizes the cutting-edge of performance research combined with highly performant and reliable infrastructure to give you out-of-the-box global availability with 99.99% of uptime.
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Own your inference.
Full company description
Inference is everything. Baseten is an AI infrastructure platform giving you the tooling, expertise, and hardware needed to bring great AI products to market - fast.
Our proprietary Inference Stack utilizes the cutting-edge of performance research combined with highly performant and reliable infrastructure to give you out-of-the-box global availability with 99.99% of uptime.
LinkedIn followers
25,940
People associated on LinkedIn
242
Reported office locations
San Francisco, CA, US
New York, NY, US
Business categories
Software Engineering
Artificial Intelligence
Software
Developer Tools
Artificial Intelligence (AI)
Machine Learning
AI Infrastructure
Other recorded names
Baseten
Specialties
developer tools
software engineering
artificial intelligence
and machine learning
Profile identifies a recruitment agency
No
Reported total investment
2,085,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Candidates need experience designing and operating large-scale distributed systems in production and leading ambiguous cross-team projects while writing production code. They also need sound judgment on API design, service boundaries, and failure handling.
Reporting, Develop models, API development, Debugging, Artificial intelligence
Candidates need a bachelor's degree or higher in computer science or a related field, experience with billing systems or internal tools, and deep knowledge of the web stack and databases. Strong collaboration and communication skills are also required.
4+ YOECandidates need 4-5+ years building production backend systems, including hands-on work on a product authorization system such as relationship-based access control or a policy engine. They should have owned systems end to end and be comfortable across the full stack, including Kubernetes infrastructure.
5+ YOECandidates need 5+ years as a technical program manager or engineer turned TPM on infrastructure or cloud programs. They must understand ML infrastructure, Kubernetes, GPUs and distributed systems, and lead many teams without formal authority.
5+ YOECandidates need 5+ years in GRC, security compliance or information security, ideally at a SaaS company. They should know SOC 2, ISO 27001, NIST and GDPR and have run audits and communicated with executives and non-technical staff.
3+ YOECandidates need 3+ years building distributed systems or large-scale backend APIs, with experience in low-latency services, observability and performance profiling. Kubernetes, GPU workloads and LLM inference experience are assets, but prior ML experience is not required.
Kubernetes, GPU, vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo
Candidates need a bachelor's, master's or PhD in a technical field, experience with Python or C++, and familiarity with LLM optimization and ML libraries such as PyTorch or TensorRT. They also need a deep understanding of GPU architecture and demonstrated interest in LLMs.
PyTorch, TensorRT, TensorRT-LLM, vLLM, SGLang, CUDA
Candidates need deep technical program management experience on complex programs, and experience with model performance or inference optimization. They should be comfortable building programs from ambiguity and influencing people without authority.
4+ YOECandidates need 4+ years of experience building AI-native software development tooling, strong Python and/or Go skills, and hands-on experience with LLMs and agent frameworks. They also need Kubernetes/Docker and CI/CD fundamentals, plus strong written communication.
Claude Code, Cursor, Codex, Kubernetes, Docker, MCP servers
Candidates need strong Go and/or Python skills and experience building test tooling used by others. They also need hands-on work with testing frameworks, distributed-system integration testing, load testing tools, Kubernetes and Docker, and CI/CD at scale.
Candidates need strong proficiency in Go and/or Python and experience with Kubernetes-based deployment systems at scale. They also need experience building or operating continuous deployment platforms and familiarity with GitOps tooling such as ArgoCD or Flux.
Candidates need deep experience in at least one observability area such as metrics, logging, tracing or error analytics, plus strong skill in Python, Rust or Go. Experience with platforms like Prometheus, Grafana, ClickHouse or OpenTelemetry and high-throughput data pipelines is expected.
2+ YOEBaseten needs candidates with a Bachelor's, Master's, or Ph.D. in a related field and 2+ years of professional experience in a fast-paced environment. Strong production programming skills, preferably in Python, familiarity with ML pipelines and deployment, and clear technical communication are required.
Baseten needs a bachelor's degree or higher in Computer Science or a related field and a track record running production real-time systems where tail latency matters. Strong coding skills in a popular language, collaboration skills, and daily use of AI coding assistants are also required.
Baseten needs deep experience with high-performance networking such as InfiniBand and RoCE v2, and fluency in C++ or Python. Candidates should understand NVIDIA GPU memory architecture and be comfortable debugging low-level systems.
Candidates need Python skills, interest in GPU and networking systems, and an automation mindset. Strong communication, the ability to work with vague requirements and mentoring experience are also expected. C++ is a plus.
Candidates need a strong understanding of GPU architecture and memory hierarchy, proficiency in C++ and GPU profiling tools, and knowledge of the CUDA C++ API, numerical precision and modern GPU features. Experience with Transformer models, Flash Attention, Cutlass, Triton or GEMM tuning is a plus.
5+ YOECandidates need 5+ years building production web applications, deep expertise in React, TypeScript and modern web tooling, and a track record of scalable, performant UIs. Strong product intuition and good communication with cross-functional teams are also required.
Baseten needs candidates with a Bachelor's degree or higher in Computer Science or a related field, working coding skills, and a working knowledge of Kubernetes and containers. Basic ML concepts, distributed systems familiarity and monitoring tool experience are also asked for.
3+ YOEBaseten needs 3+ years in security engineering or a similar role, ideally at a fast-paced startup. Candidates need strong cloud and container security skills, hands-on experience with security tools and scripting, knowledge of SOC 2, ISO 27001 and GDPR, and incident response expertise.
Candidates need a Bachelor's, Master's or Ph.D. in a related field and extensive Kubernetes experience. They also need experience building scalable infrastructure, infrastructure-as-code and CI/CD tools, and the ability to own projects from specification to execution.
Kubernetes, Terraform, CloudFormation, Pulumi, GitHub Actions, GitLab CI
Candidates need extensive hands-on Kubernetes experience, ideally across several clouds, and experience building scalable infrastructure. Strong observability skills, infrastructure-as-code and incident management experience are expected. No prior machine learning experience is required.
2+ YOECandidates need a bachelor's, master's or PhD in computer science, engineering, mathematics or a related field, plus 2+ years of professional experience in a fast-paced environment. Production programming experience, strongly preferably Python, familiarity with ML pipelines and strong technical communication are required.
Candidates need a bachelor's degree or higher in computer science or a related field and proficient coding skills in one or more languages, with Python, Go or JavaScript a plus. Familiarity with web applications and databases, good product judgment for developer tools, and strong collaboration skills are also expected.