Senior Infrastructure Software Engineer, Enterprise AI
Scale AI · New York, NY; San Francisco, CA · San Francisco, CA
CHECKED 14H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Define deployment standards for agentic workflows running at enterprise scale.
- Build the paved road for knowledge retrieval and inference engines.
- Own best-in-class observability for multi-agent systems at enterprise scale.
What they offer
- base salary
- equity
- benefits
Ideal candidate
A hands-on technical leader who thrives in fast-paced environments and loves mentoring. You care about reliability, security, and setting long-term strategy for enterprise AI infrastructure.
Requirements
- 5+ years of full-time software engineering experience in a senior role
- Deep understanding of modern infrastructure practices including CI/CD, IaC, container orchestration and observability
- Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)
- Strong knowledge of security and compliance in enterprise environments
- Proficiency in Python or JavaScript/TypeScript, and SQL
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta