Member of Technical Staff — Inference Infrastructure

causal· Infrastructure
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📍 San FranciscoFullTime

About this role

Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it.

 

To achieve this breakthrough, we are building a Large Physics foundation Model (LPM) because physical systems, unlike text or images, are governed by verifiable cause and effect. We believe that scaling on physics will enable an understanding of causality required to predict and control physical systems, starting with weather.

 

Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN.

We look for infrastructure engineers who are excited to tackle unsolved problems. Progress on an LPM is gated by how fast we can evaluate it: large-scale backtesting against decades of physical observations, ensemble generation, and rollout evaluation across model scales.

Responsibilities

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

  • Design and implement techniques that improve latency, throughput, and efficiency for real-time inference

  • Optimize the inference stack to fully utilize hardware FLOPs, bandwidth, and memory

  • Extend orchestration frameworks (e.g. Kubernetes, Ray, Slurm) for distributed inference and large-batch evaluation sweeps

  • Establish standards for reliability, observability, and reproducibility across the inference stack, so every evaluation is trustworthy and repeatable

  • Collaborate with researchers to enable high-performance inference for novel architectures as they emerge

What we'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)

Frequently Asked Questions

Is the salary disclosed for the Member of Technical Staff — Inference Infrastructure position at causal?
The salary for this Member of Technical Staff — Inference Infrastructure role at causal is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Member of Technical Staff — Inference Infrastructure position at causal located?
This Member of Technical Staff — Inference Infrastructure role at causal is based in San Francisco. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Member of Technical Staff — Inference Infrastructure role at causal full-time or part-time?
This is listed as a FullTime position. It is posted as a Member of Technical Staff — Inference Infrastructure role in the Infrastructure department at causal.
Which team or department does the Member of Technical Staff — Inference Infrastructure at causal belong to?
This Member of Technical Staff — Inference Infrastructure position is part of the Infrastructure department at causal. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Member of Technical Staff — Inference Infrastructure position at causal?
Click the "Apply Now" button on this page. You will be redirected to causal's official application portal hosted on ashby where you can submit your application directly.
When was the Member of Technical Staff — Inference Infrastructure job at causal posted?
This Member of Technical Staff — Inference Infrastructure position at causal was posted on Jul 19, 2026. Apply as soon as possible — early applications are often reviewed first.
Member of Technical Staff — Inference Infrastructure
causal
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