# Inference Optimization Engineer at Hedra

- Company: Hedra
- What the company does: Hedra builds models that generate, perceive, and predict the visual world — and the platform that runs them in production. Backed by a16z and a16z speedrun.
- Company website: https://www.hedra.com
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-10-08
- Apply by: 2026-11-23
- Apply: https://jobs.ashbyhq.com/hedra/f28645f7-2bed-4754-9da2-a3aaa7d6aa27?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/hedra-inference-optimization-engineer/

## About the role

Work directly with research scientists and engineers to make new visual models fast and efficient at inference time. Profile model architectures and workloads to understand bottlenecks across compute, memory, communication, and model execution. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Deep technical ability in efficient ML inference, ML systems, GPU computing, or adjacent research, demonstrated through research, production engineering, open-source contributions, or unusually ambitious independent work
- Strong understanding of how modern deep learning models execute on hardware, including the relationship between compute, memory, communication, and performance
- Experience profiling ML workloads, identifying bottlenecks, forming hypotheses, and driving measurable performance improvements
- Strong programming fundamentals in Python, C++, or another systems-oriented language
- Experience with some combination of PyTorch, CUDA, Triton, TensorRT, vLLM, SGLang, or comparable technologies
- Ability to reason across abstraction layers rather than treating model architecture, framework, runtime, kernel, and hardware boundaries as fixed

Tags: Research

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/hedra-inference-optimization-engineer/