Senior Engineering Manager
Hybrid (SF Bay Area or Tokyo, Japan)Full-timePosted 5mo ago
About the role
Senior Engineering Manager at Radical Numerics leading a team across ML infrastructure, training systems, and research engineering to support biological world models. Hybrid leadership role combining people management with hands-on technical direction in high-performance distributed systems and large-scale model training.
Responsibilities
- Build and lead a strong engineering team. Hire selectively, mentor deeply, and maintain a high bar for execution and code quality.
- Own core infrastructure. Drive development of systems for large-scale model training and experimentation—training/inference, data pipelines, evals, and internal tools.
- Set technical direction. Make clear architectural tradeoffs (performance vs. speed vs. flexibility), and guide where to invest vs. keep things simple.
- Accelerate research. Improve reproducibility, observability, and debugging to enable faster iteration and more reliable experiments.
- Stay close to the work. Partner tightly with researchers and step into design, debugging, and ambiguous problems when needed.
Qualifications
- Track record leading engineering teams in technically demanding environments, ideally where infrastructure and research are closely linked.
- Experience managing senior engineers and enabling high-autonomy teams.
- Strong background in distributed systems, data systems, developer platforms, or similarly complex technical areas.
- Ability to work credibly with researchers and senior engineers on system architectures, prioritization, and execution.
- Strong technical judgment, especially around tradeoffs, sequencing, and operating under ambiguity.
- Comfortable staying close to the work, including going deep on design or debugging when needed.
- Excellent communication skills and the ability to align stakeholders across engineering, research, and science.
- High standards for rigor, speed, and practical decision-making.
Benefits
- Competitive compensation, comprehensive benefits, and support for continual learning.
Last updated May 18, 2026. Interested? Apply on the company site.
About Radical Numerics
Next-gen AI lab for recursive self-improvement
Radical Numerics - Next-gen AI lab for recursive self-improvement
AIAI labrecursive self-improvement
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