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Software Engineer - Realtime Systems

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Software Engineering

Date Posted

April 27, 2026

Full Job Description

đź“‹ Description

  • • Software Engineer - Realtime Systems at BaseTen Inc. is a high-impact, high-ownership role focused on building and leading the company's in-house Voice AI inference stack to power real-time speech-to-text, text-to-speech, and voice agent workloads for mission-critical customer deployments.
  • • Day-to-day responsibilities include owning Voice AI product areas end-to-end—from architecture and system design through implementation, rollout, and long-term production operations—designing and operating real-time, large-scale, high-performance model serving systems with clear SLOs, driving cross-team collaboration with Forward Deployed Engineers, Model Performance Engineers, and sister teams, and mentoring teammates through code reviews, design docs, and technical leadership.
  • • BaseTen powers mission-critical AI inference for leading companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer, uniting applied AI research, flexible infrastructure, and seamless developer tooling to enable cutting-edge models in production, backed by a $300M Series E from top-tier investors including BOND, IVP, Spark Capital, Greylock, and Conviction.
  • • In this role, you will make a meaningful impact on industries such as productivity, customer service, clinical conversation, creator tools, and education by bringing state-of-the-art open-source Voice AI models into production, pushing the boundaries of real-time voice systems, and shaping the platform engineers rely on to ship AI products.

Skills & Technologies

Python
Docker
Kubernetes
PyTorch
Apache Spark
Onsite
Degree Required

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BaseTen Inc.
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About BaseTen Inc.

BaseTen provides a serverless, GPU-accelerated platform that lets machine-learning teams deploy, scale and monitor custom models behind autoscaling inference endpoints. The service abstracts infrastructure management, supports PyTorch, TensorFlow and Hugging Face artifacts, and offers built-in observability, A/B testing and fine-tuning. Customers integrate via REST or GraphQL APIs and pay only for compute used. Founded in 2019 and headquartered in San Francisco, BaseTen targets data scientists and product teams seeking production-grade ML serving without Kubernetes complexity.

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