Software Engineer, ML Infrastructure
Rebar
Rebar builds AI estimating software for commercial HVAC, plumbing, and electrical contractors that ingests construction drawings and produces priced takeoffs for estimators to review. This role focuses on ML infrastructure challenges such as GPU inference across concurrent jobs, turning model outputs into interactive geometry, and supporting agentic workflows and a realtime collaborative canvas editor. Other open engineering roles include Product, Applied AI, and Data Platform engineers; the company also hires PM, implementation, sales, and marketing.
What you’ll do
- Build and maintain realtime collaborative canvas editor handling very dense document drawings
- Convert segmentation and other model outputs into interactive geometry for users
- Manage GPU inference across hundreds of concurrent jobs
- Support dynamic analytics and chart generation from agentic workflows
What they’re looking for
- Experience with the listed stack: TypeScript/React/Next.js, Python, PyTorch, Postgres, Temporal, AWS, Kubernetes, Modal
Skills
- TypeScript: React, Next.js
- Python: PyTorch
- Postgres
- Temporal
- AWS
- Kubernetes
- Modal
The post
Rebar | Software Engineers (Product, Applied AI, ML Infra, Data Platform) | ONSITE 5 days/week, New York City (union square area!) | Full-time | $150k–$260k + equity | https://jobs.ashbyhq.com/rebar
We build AI estimating software for commercial HVAC, plumbing, and electrical contractors. Before bidding on a job, a contractor or estimator has to count every duct, fitting, diffuser, and piece of equipment across a set of construction drawings that can run to thousands of pages. We speed this up by ingesting the drawings, detecting the equipment schedules, finding symbols, and producing a priced takeoff that the estimator reviews and corrects in a collaborative canvas editor. We have strong PMF and raised a $14M Series A earlier this year.
It may not sound sexy, but it actually is!! There are a ton of hard and interesting engineering challenges. Just to highlight a few:
* very dense document drawings with a realtime collaborative canvas editor (think 50k DOM elements and up) * segmentation models (and many more) whose output has to become geometry a user can interact with * gpu inference across hundreds of concurrent jobs * dynamic analytics and chart generation from agentic workflows custom built for estimators
Open roles:
* Software Engineer, Product ($180k–$240k): https://jobs.ashbyhq.com/rebar/5ab49c2d-9a70-4723-9217-7704a455155c * Software Engineer, Applied AI ($150k–$250k): https://jobs.ashbyhq.com/rebar/ad41a627-d9a4-49a4-a1b4-f7202d9d5eb1 * Software Engineer, ML Infrastructure ($200k–$260k): https://jobs.ashbyhq.com/rebar/ead8df0c-b6da-4e79-90d0-99651cc309f5 * Software Engineer, Data Platform ($170k–$220k): https://jobs.ashbyhq.com/rebar/c227ea05-98f8-4a08-9760-f7e3c37927c4
Stack: TypeScript/React/Next.js, Python, PyTorch, Postgres, Temporal, AWS, Kubernetes, Modal.
We're also hiring for PMs, implementation, sales, and marketing roles! I'm the Head of Engineering. Apply through Ashby and mention HackerNews or HN in the Ashby form. Or email me at john@withrebar.ai. We will reply to everyone, but it might take us some time! Thank you in advance for your patience
Additionally, there's a fun puzzle on our marketing site that will fast track your application if you want to solve!