# Member of Technical Staff — Inference Infrastructure at Causal

- Company: Causal
- What the company does: Backed by Accel.
- Company website: https://www.causal.app/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-07-19
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/causal/6905f848-67d4-4bb8-93c8-24262967b60d
- Page: https://www.1752.vc/careers/jobs/causal-member-of-technical-staff-inference-infrastructure/

## About the role

Your mission is to make inference so fast and cheap that evaluation never gates research. Build high-throughput inference systems for large-scale evaluation, backtesting, and scoring against historical physical observations

## What they're looking for

- We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains
- Experience building or optimizing inference and serving systems for throughput and latency (e.g. TensorRT)
- Understanding of distributed compute, GPU parallelism, and hardware-aware optimization
- Deep familiarity with deep learning frameworks (e.g. PyTorch, JAX) and their underlying system architectures
- Strong engineering skills: performant, maintainable code and the ability to debug complex codebases
- Bonus: contributions to open-source inference or systems infrastructure (e.g. vLLM, SGLang, Triton)

Tags: Infrastructure