Tech Lead Manager, GPU Cluster Infrastructure

The posting, as FAR.AI wrote it

ABOUT US

FAR.AI http://FAR.AI is a non-profit AI research institute working to ensure advanced AI is safe and beneficial for everyone. Our mission is to facilitate breakthrough AI safety research, advance global understanding of AI risks and solutions, and foster a coordinated global response.

Since our founding in July 2022, we've grown to 50+ staff https://www.far.ai/about/team, published 40+ academic papers https://scholar.google.com/citations?user=FVJ24k8AAAAJ, and convened leading AI safety events https://far.ai/events/. Our work is recognized globally, with publications at premier venues such as NeurIPS, ICML including a Best Paper Honorable Mention in 2026 https://icml.cc/virtual/2026/oral/71065, and ICLR, and features in the Financial Times https://www.ft.com/content/175e5314-a7f7-4741-a786-273219f433a1, Nature News https://www.nature.com/articles/d41586-024-02218-7, Wired Magazine https://www.wired.com/story/jailbreaking-ai-models-google-anthropic-openai-spacexai/ and MIT Technology Review https://www.technologyreview.com/2020/02/28/905615/reinforcement-learning-adversarial-attack-gaming-ai-deepmind-alphazero-selfdriving-cars/. We conduct pre-deployment testing on behalf of frontier developers such as OpenAI, independent evaluations for governments including the EU AI Office https://www.far.ai/news/far-ai-selected-to-lead-eu-ai-act-cbrn-risk-consortium, and publish the AI Security Leaderboard https://leaderboard.far.ai/ based on our red-teaming expertise. We help steer and grow the AI safety field through developing https://arxiv.org/abs/2405.06624 research https://arxiv.org/abs/2506.20702 roadmaps https://www.researchgate.net/publication/396910034_Open_Technical_Problems_in_Open-Weight_AI_Model_Risk_Management with renowned researchers such as Yoshua Bengio; running FAR.Labs https://www.far.ai/programs/far-labs, an AI safety-focused co-working space in Berkeley housing 40+ members; and supporting the community through targeted grants https://www.far.ai/programs/grantmaking to technical researchers.

ABOUT THE TEAM

Foundations is FAR.AI http://FAR.AI's infrastructure and engineering team. Our remit is broad: we run the compute platform, build the tools and frameworks researchers work in, automate research workflows, and help teams scale experiments well past what they'd manage alone. Our job is to accelerate the research. We do so by working directly with researchers through embedded engagements and day-to-day consulting, and building systems that can scale with the organization as it grows.

Foundations is growing quickly, and our infrastructure portfolio is growing fastest. We run FAR.AI http://FAR.AI's research on a mix of bare-metal and managed Kubernetes GPU clusters from multiple providers. We rent the hardware and operate the platform ourselves. The fleet has grown from dozens to hundreds of GPUs this year and it's continuing to grow quickly: we're adding providers, taking on users beyond our own researchers, and mov
[…]
days at our office

*(These benefits are currently only offered to full-time US employees, we use an EOR for our international employees who have their own set of benefits for Health, Paid Leave, etc.)

LOGISTICS

If based in the USA or Singapore, you will be an employee of FAR.AI http://FAR.AI (501(c)(3) research non-profit / non-profit CLG). Outside the USA or Singapore, you will be employed via an EOR organisation on behalf of FAR.AI http://FAR.AI or as a contractor.

• Location: Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person employees, and can hire remotely in most countries. For this role we prefer candidates whose working hours overlap with Berkeley.
• Hours: Full-time (40 hours/week).
• Compensation: $225,000 to $325,000 per year. Compensation is determined by our salary bands and your level of experience, with adjustments for location. We also pay for work-related travel and equipment expenses, and offer catered lunch and dinner at our office in Berkeley.
• On-call: We don't run a formal on-call rotation yet. The team is spread across time zones and covers incidents during working hours. As the experiments we run get larger we expect to introduce one, and this role would take part in it.
• Application process: A one hour programming assessment, a short screening call, a one hour code review interview, a 90 minute systems design and incident response interview, a one hour management and leadership interview, and a paid work trial lasting up to 1 week. If you are not available for a work trial we may be able to find alternative ways of testing your fit.

If you have any questions about the role, feel free to contact us at talent@far.ai. Otherwise, if you don't have questions, the best way to ensure a proper review of your skills and qualifications is by applying directly via the application form. Please don't email us to share your resume (it won't have any impact on our decision). Thank you!