# Staff Research Engineer, Agent Evals & Post-Training at Nominal

- Company: Nominal
- What the company does: Nominal powers mission-critical engineering with advanced data infrastructure, real-time observability, and analysis tools — all in one collaborative platform. Backed by General Catalyst, Lightspeed and Sequoia.
- Company website: https://www.nominal.io/
- Type: Startups
- Level: Senior
- Location: New York, United States
- Work setup: On-site
- Posted: 2026-10-05
- Apply by: 2026-11-19
- Apply: https://jobs.gem.com/nominal/am9icG9zdDp7LtWwyt-ZLX3N-M7SHGRV?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/nominal-staff-research-engineer-agent-evals-and-post-training/

## About the role

As a Staff Research Engineer supporting agent evals & post-training, you'll define how Nominal measures its agents, for customers and for ourselves, and build the path from evals to post-trained models when hardware needs them. Evals come first; post-training follows when air-gapped deployment or cost makes it the right investment. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Build eval suites for our agents, the MCP tool layer, and our internal company agent, grounded in real hardware tasks
- Invent new benchmarks for agents working over physical engineering data, where none exist today
- Benchmark our agents against frontier agents using our MCP, and show where and why ours win
- Build the eval infrastructure: datasets, model-based and human graders, and regression gates in CI
- Turn evals into reward signals and training data, and lead post-training (fine-tuning, RL, distillation) when we need models we can run anywhere, including air-gapped environments
- Set Nominal's strategy for measurement and model improvement, working with hardware experts on what "correct" means


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/nominal-staff-research-engineer-agent-evals-and-post-training/