Software Engineer

Compensation

Total ** $300k - $600k/yr (salary + equity), depending on experience.

Location

San Francisco onsite preferred, US remote for the right candidate.

About Mechanize

Mechanize is creating high-fidelity virtual work environments, benchmarks, and datasets to enable AI agents to master real-world jobs—starting with full-stack software engineering.

The Role

As our first dedicated product engineer, you *

Build the core simulation * Create a realistic, containerized environment where AI agents perform software engineering and other professional tasks.

Design realistic evaluation * Independently identify meaningful software engineering tasks, determine clear grading criteria, and select the appropriate tools and workflows that allow AI agents to reliably complete tasks.

Develop a consumer software * This product will serve as a foundation for our simulation platform, where we will task AI agents with building and modifying this product. This will require full stack skills from writing a backend in Python and a frontend with web technologies like React, Typescript, HTML and CSS.

Establish engineering * Set up automated testing, practical CI/CD pipelines, effective monitoring, and clear processes to ensure high-quality code and quick issue resolution.

Influence technical * Directly shape product development, make key architectural decisions, and contribute to growing our engineering team at an early-stage startup.

You might be a fit if *

Have5+ years of experience building full-stack software products, including leading at least one significant project from idea to production.

Write fluentTypeScript (React) and Python, and are comfortable with deployments in Kubernetes-based environments.

Have practical experience with designing robust CI/CD processes, automated testing strategies, and effective monitoring and observability.

Enjoy working closely with users (internal stakeholders and customers) to iterate quickly and deliver functional software.

Bonus points for experience *

Container orchestration platforms (Kubernetes)

Developer tools or internal platforms

Reinforcement learning (RL) or machine learning (ML) workflows and infrastructure

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Interested?

Send your CV, GitHub or portfolio links, and a brief note describing a relevant product or system you’ve built to (** Full-Stack – Your Name).

Know someone perfect for this role? We offer a$20,000 referral bonusif you introduce us to our next hire.