# ML Systems, LLM Post-Training at ChipAgents

- Company: ChipAgents
- What the company does: AI-driven chip design and verification with ChipAgents. Iterate on Your Chip Design & Verification 10x Faster by Collaborating with ChipAgents in Your Favorite Code Editor. Backed by Bessemer.
- Company website: https://chipagents.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Jose
- Work setup: On-site
- Posted: 2026-11-04
- Apply by: 2026-12-19
- Apply: https://jobs.ashbyhq.com/alpha-design-ai-inc/53bc58df-f12a-4197-b075-941dd62e41a4?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/chipagents-ml-systems-llm-post-training/

## About the role

We are seeking an ML Systems Engineer to optimize the performance and efficiency of large language model inference powering our agentic AI platform. This is a technical role focused on low-level systems optimization. You will implement performance optimizations, build evaluation harnesses, and architect multi-node clusters for training and inference that push the limits of LLM throughput and latency. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- B.S., M.S., or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience)
- Experience with large-scale ML systems, GPU computing, or high-performance inference optimization
- Strong proficiency in Python and C++/CUDA, hands-on experience with SGLang, vLLM, PyTorch, or similar inference frameworks
- Deep understanding of GPU architecture, memory hierarchies, and parallel computing paradigms
- Experience deploying and optimizing LLMs in production: model serving, batching strategies, distributed inference, or quantization
- Strong systems-level debugging and profiling skills, comfort working at multiple layers of the stack from CUDA kernels to application logic

Tags: Research and Machine Learning

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/chipagents-ml-systems-llm-post-training/