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Gatik AI

Senior AI Infrastructure Engineer

Gatik AI · Santa Clara, CA

Posted about 3 months ago · $180,000- $240,000

or apply directly on Gatik AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Gatik AI's roles stay open a median of 82 days
Reposted
No
Salary listed
Yes
75% of Gatik AI's roles list one
Ghost-job risk at Gatik AI
high
61 stale, 0 reposted of 67 open
Hiring momentum
78 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Gatik AI's own greenhouse board since 2026-08-03. Full hiring picture for Gatik AI.

About this role

As a Senior AI Infrastructure Engineer at Gatik, you will design, build, and scale the AI platform that supports autonomous driving models. Your responsibilities include optimizing distributed training, enhancing performance across multi-GPU setups, and managing the lifecycle of machine learning models. You will also develop automation for infrastructure management and ensure efficient data integration and observability for high-performance AI systems.

Our read on this posting3.2out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Gatik AI as an employer.

What you need

  • 5+ years in ML infrastructure, MLOps, or DevOps supporting high-scale compute environments
  • Deep understanding of multi-GPU training strategies (FSDP, DeepSpeed, Ray Train) and high-performance networking (NCCL, InfiniBand)
  • Mastery of Kubernetes, Terraform, and Helm, with a focus on GPU-native orchestration
  • Proven experience building or supporting Agentic Workflows for infrastructure or data automation
  • Expertise in MLFlow, Argo Workflows, and Kubernetes
  • Strong experience with Docker, Kubernetes, and Helm

Nice to have

  • Familiarity with the Model Context Protocol (MCP)
  • Experience in hybrid cloud and on-prem GPU cluster management for Physical AI workloads
  • Experience utilizing LLMs for semantic monitoring and log analysis

What you get

  • Salary range of $180,000 - $240,000

Worth weighing

  • Onsite work required 5 days a week in Santa Clara, CA
  • The role involves a heavy focus on infrastructure and automation, which may limit exposure to direct AI model development
  • No specific benefits or perks beyond salary mentioned

Summarised from Gatik AI's posting. Read the full original.

Listed by Gatik AI on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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