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Software Engineer- GPU Fabric Observability

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Software Engineering

Date Posted

July 10, 2026

Full Job Description

đź“‹ Description

  • • Develop a first-class observability and root-cause analysis system for GPU fabrics.
  • • Collect high-volume signals from switches, hosts, active probes, and inference services.
  • • Reduce and correlate them in real time.
  • • Understand topology and service ownership.
  • • Produce actionable diagnosis while an incident is still unfolding.
  • • Build a real-time telemetry engine for high-cardinality fabric, host, GPU, and workload telemetry.
  • • Create service-aware fabric diagnosis collectors, probes, and topology-aware correlation.
  • • Tie network behavior to RDMA operations, GPUDirect paths, KV cache transfers, prefill/decode disaggregation, and request latency.
  • • Model topology, flow paths, service ownership, and failure domains.
  • • Separate true fabric faults from host, NIC, GPU, kernel, driver, RDMA, scheduler, and workload failures.
  • • Create clear operator workflows for triage, remediation, and post-incident learning.

🎯 Requirements

  • • Staff-level or senior staff-level experience building production infrastructure software.
  • • Strong distributed systems background, especially streaming systems, telemetry pipelines, diagnostics, or control-plane software.
  • • Experience building systems that process high-volume, high-cardinality, noisy operational data.
  • • Understanding of networking fundamentals and high-performance networks.
  • • Ability to work with low-level infrastructure signals and build practical correlation, anomaly detection, or root-cause analysis systems.

🏖️ Benefits

  • • Competitive compensation, including meaningful equity.
  • • 100% coverage of medical, dental, and vision insurance for employee and dependents.
  • • Flexible PTO policy including company-wide Winter Break.
  • • Paid parental leave.
  • • Fertility and family-building stipend through Carrot.
  • • Company-facilitated 401(k).
  • • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Skills & Technologies

Kubernetes
Apache Spark
Onsite

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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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