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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

AI Infrastructure Engineer

Requirements

  • A track record of working on model training or model inference at scale, or on low-level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.
  • 5+ years of experience in software engineering, with a strong track record of shipping high-quality products or platforms.
  • Hold a degree in Computer Science, Computer Engineering, or a related field (or equivalent experience with very strong fundamentals).
  • Hands-on experience with one or more of the following:
    • Model training (especially transformers and LLMs).
    • Model inference at scale (especially transformers and LLMs).
    • Low-level GPU work, such as writing CUDA or Triton kernels.
  • Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
  • Communicate clearly, explain complex technical topics, and enjoy collaboration with engineers and non-engineers.
  • Pride in strong technical fundamentals, love learning, and willingness to invest in personal development.

Nice to Haves

  • Experience at AI native companies that train and/or run inference for their own models.
  • Experience running training or inference workloads on Kubernetes.
  • Experience with AWS or other major cloud providers.
  • Production experience with Python in ML or infrastructure contexts.
  • Demonstrated passion for technology through personal projects, open-source contributions, meetups, or content publication.

What You'll Be Doing

  • Implementing and scaling training pipelines for large transformer and LLM models.
  • Building and optimizing inference services for low-latency, high-reliability experiences.
  • Working on GPU-level performance, tuning kernels, improving utilization, and identifying bottlenecks.
  • Collaborating with ML scientists to implement cutting-edge methods and bring them to production.
  • Playing an active role in hiring, mentoring, and developing other engineers on the team.
  • Raising the bar for technical standards, reliability, and operational excellence across Intercom’s AI platform.

Perks and Benefits

  • Competitive salary, annual bonus, and equity.
  • Regular compensation reviews.
  • Unlimited access to Claude Code and best-in-class AI tools.
  • Generous paid time off above statutory minimum.
  • Hybrid working.
  • Option for MacBooks or Windows based on role requirements.
  • Fun events for employees, friends, and family.
AI Summary ✨
Intercom logo

Intercom

Berlin, Germany

Experience: Senior
Posted: April 17, 2026
Last seen: 2 hours ago
Aws
Golang
Java
Kubernetes
Python
machinelearning

Why we track Intercom

Intercom is a customer messaging platform with a major engineering hub in Dublin. They build real-time communication tools used by thousands of businesses. Strong product engineering culture with interesting problems around messaging infrastructure and AI.

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