Join Scorecard as a Founding Engineer to build the simulation environments and reward models powering frontier AI agents. You will design containerized sandboxes and orchestration systems that allow research labs to train and evaluate agents at scale. This is a high-ownership role at the infrastructure layer of the agentic AI revolution, requiring deep systems thinking.
Founding Engineer at Scorecard
Scorecard is building the simulation backbone for the future of AI. Backed by Kindred Ventures and angels from OpenAI and Waymo, this seed-stage team is led by the engineers who scaled Waymo’s simulation org. As a Founding Engineer, you’ll build the containerized sandboxes and reward models that frontier AI labs use to train their most advanced agents. If you're a Staff-level engineer from a top program looking for high-ownership work in SF, join us.
What's the next step?
Jack finds you jobs at companies like Scorecard. Talk to Jack to get considered for roles that fit what you're great at.
Location
San Francisco, United States
Compensation
$170k-$450k + Equity
Company
Scorecard
Role overview
Scorecard is the simulation platform for AI agent self-improvement. We build simulation environments and reward models for frontier AI labs and application teams shipping the most capable agents in production. Our founding team built simulation infrastructure at Waymo, SpaceX, and Uber ATG. Same discipline that made self-driving cars work, applied to AI agents. 120+ customers, enterprise contracts with leading AI research labs. Based in SF.
What you will do
- Architect and operate complex distributed backend systems using TypeScript, Node.js, Temporal, and Kubernetes to power simulation sandboxes.
- Collaborate directly with researchers at leading AI labs to define grading infrastructure and reward models for autonomous agent training.
- Own technical domains end-to-end, utilizing agentic tooling like Claude Code to move rapidly across the stack from problem definition to production.
Who this is a fit for
- Staff+ level engineer with a degree from a top-tier CS program and experience at elite engineering organizations like Waymo, Google, or Airbnb.
- Proven track record of building and scaling large-scale simulation, ML infrastructure, or complex distributed systems in ambiguous environments.
- Possesses a “builder” mentality with either founder experience or early-stage startup DNA, thriving in a low-ego, high-velocity culture.
Why this role is remarkable
- Work on rare infrastructure-level AI challenges, building simulation environments for frontier research labs that typically only internal teams handle.
- Join a world-class founding team that scaled Waymo’s simulation organization and built systems at SpaceX and Uber ATG.
- Benefit from significant early-stage equity in a company with 120+ customers and backing from industry giants like OpenAI and Perplexity.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Scorecard wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.