Founding Engineer ($170k-$450k + Equity) at Scorecard

Jack & Jill; San Francisco (CA); Vor Ort; USD 170.000 - 450.000; Vollzeit

Zusammenfassung

Scorecard in San Francisco is seeking a Founding Engineer to build the simulation environments and reward models powering frontier AI agents. You will design containerized sandboxes and orchestration systems that enable labs to train and evaluate agents at scale, taking high ownership at the infrastructure layer.

The ideal candidate has a senior track record in large-scale distributed systems and a founder mindset, with equity backing by industry giants.

Qualifikationen

• Staff+ engineer with a CS degree from a top-tier program.
• Experience building and scaling large-scale simulation/ML infra.
• Founder experience or startup DNA is a plus.

Aufgaben

• Architect and operate complex distributed backend systems using TypeScript, Node.js, Temporal, and Kubernetes to power simulation sandboxes.
• Collaborate with researchers to define grading infrastructure and reward models for autonomous agent training.
• Own technical domains end-to-end, leveraging agentic tooling to move from problem definition to production.

Kenntnisse

Distributed systems

System design

Leadership

Ausbildung

Top-tier CS program

Tools

TypeScript

Node.js

Temporal

Kubernetes

Jobbeschreibung

Job Title

Founding Engineer

Salary

$170k-$450k + Equity

Company Description

Scorecard is a $3.75M seed-stage San Francisco startup building the simulation platform for AI agent self-improvement, backed by Kindred Ventures and executives from OpenAI, Meta, and Waymo.

Job Description

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.

Location

San Francisco, USA

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.

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.

The ideal candidate

• 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.