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Engineering Manager - ML Platform and Infrastructure at Appliedintuition
AppliedintuitionSunnyvale, California, United States·1d ago
ManagerFull-timeRustAWSKubernetesPyTorchGitAIML
Salary Range
$163,200 - $220,800 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an Engineering Manager to join the ML Platform team at Applied Intuition, Inc. This role involves leading a team of engineers focused on building the infrastructure that powers Physical AI at scale.
Key Responsibilities
- →Grow and manage a team of world-class infrastructure and systems engineers
- →Own the design and evolution of frameworks for orchestrating distributed training and inference jobs
- →Drive the buildout and scaling of GPU cluster infrastructure
- →Lead efforts to optimize training and inference performance
- →Set team goals and roadmap in alignment with research milestones
- →Partner closely with research, stack development, and infrastructure teams
Requirements
- ✓3+ years of engineering management experience
- ✓Passion for building and leading high-performing teams
- ✓Deep experience with distributed systems, GPU computing, or large-scale ML infrastructure
- ✓Direct experience building or operating large GPU clusters
- ✓Strong understanding of distributed training frameworks
- ✓Familiarity with GPU cluster management, high-performance networking, and resource scheduling
- ✓Track record of building and operating systems that run reliably at massive scale
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