# AI/ML Infrastructure Engineer at Zensors

- Company: Zensors
- What the company does: AI that can watch your business to create better customer experiences. Backed by Y Combinator.
- Company website: https://www.zensors.com
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-05-13
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/zensors/d00b1704-5330-4af3-99e6-03ea02df8026
- Page: https://www.1752.vc/careers/jobs/zensors-ai-ml-infrastructure-engineer/

## About the role

Optimizing Core ML Pipelines: Identifying key bottlenecks in our current video analytics pipeline and performing in-depth analysis to ensure the best possible performance on current server and edge compute architectures. Cross-Stack Collaboration: Collaborating closely with AI research and platform engineering teams to optimize core parallel algorithms and influence the design of our next-generation inference infrastructure.

## What they're looking for

- BS/MS or Ph.D. in Computer Science, Electrical Engineering, or a related discipline
- Strong programming skills in C/C++ and Python
- Experience with model optimization , quantization, and efficient deep learning techniques (e.g., knowledge distillation, pruning)
- Deep understanding of GPU hardware performance , including execution models, thread hierarchy, memory/cache management, and the cost/performance trade-offs of video processing
- Experience with profiling and benchmarking tools (e.g., Nsight Systems, Nsight Compute) to validate performance on complex architectures
- Experience identifying and resolving compute and data flow bottlenecks , particularly in high-bandwidth video processing pipelines

Tags: Technical team