Member of Technical Staff - Engineering Lead, Compute Platform
Reflection AI · San Francisco, CA · London · New York, NY
CHECKED 20H AGO
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At a glance
Highlights
- Lead the team keeping the large-scale compute fleet reliable and highly available.
- Prepare the fleet for next-generation GPUs and increasingly larger clusters.
- Partner with training teams to co-design fault tolerance and remediation.
What they offer
- Top-tier salary and equity with stock options
- Comprehensive medical, dental, vision, life insurance and wellness allowance
- Lunch and dinner provided in the office daily
- 22 weeks paid parental leave and unlimited PTO in the US, 30 days in the UK
- Visa sponsorship and regular off-sites and team celebrations
Ideal candidate
Hands-on systems leader who enjoys mentoring engineers and owning large-scale reliability. You thrive in fast-moving environments, partner well with research teams, and care about open, accessible AI infrastructure.
Requirements
- Experience building, mentoring, and growing systems or infrastructure teams while staying hands-on
- Deep systems-level engineering experience focused on cluster-wide behavior and maintenance
- Strong coding ability with credibility to earn technical trust
- Depth in orchestration, storage, or GPU hardware with ability to learn the rest
- Alignment with Kubernetes-first architecture
- Experience managing vendors, including negotiating and operating important deals
- Ability to guide strategy and drive execution in multi-cloud, large-fleet environment
- visa sponsorship
- Visa sponsorship available
Lab profile
About Reflection AI
Research lab making intelligence open and accessible for everyone to use, customize, and build on.
What they build
- Open foundation models
- Aligned general agents
- Enterprise AI deployments
Known for
- Frontier model pre-training
- Post-training and alignment
- Distributed training infrastructure
- Secure cloud platform foundations