Software Engineer

Velocity Tech

San Francisco (CA)

On-site

USD 120,000 - 170,000

Full time

3 days ago
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Job summary

Velocity Tech in San Francisco is seeking a Software Engineer to design and build scalable systems for reinforcement learning environments. You will work closely with AI researchers to ensure high-quality data and robust training environments.

The role involves building petabyte-scale ETL pipelines, developing agentic QA systems, and strengthening security and infrastructure to scale with the business. The team values pragmatic problem solvers who can operate across the full stack.

Qualifications

  • 1–10 years of experience building high-quality, production-grade software.
  • Experience developing full-stack applications.
  • Detail-oriented, pragmatic problem solver who thrives on robust systems in fast-paced settings.
  • Strong systems thinking and ability to work across the entire tech stack.

Responsibilities

  • Designing and building scalable systems to generate reinforcement learning environments.
  • Developing agentic QA systems to assess the quality, reliability, and fairness of generated environments.
  • Collaborating directly with AI researchers to understand effective training data.
  • Building and operating petabyte-scale ETL pipelines with millions of concurrent jobs.
  • Supporting the development of new product lines as the company expands beyond coding environments.
  • Strengthening security, compliance, and infrastructure as the business scales.

Skills

Full-stack development
Systems thinking
Problem solving
Team collaboration

Tools

Production-grade software

Job description

Velocity Tech is working with an exciting seed‑stage AI startup that’s looking for a talented Software Engineer to join their growing team in San Francisco.

What YOU’LL BE WORKING ON
  • Designing and building scalable systems to generate reinforcement learning environments.
  • Developing agentic QA systems to assess the quality, reliability, and fairness of generated environments.
  • Collaborating directly with AI researchers at leading labs to understand what makes training data effective.
  • Building and operating petabyte-scale ETL pipelines while orchestrating millions of concurrent jobs.
  • Supporting the development of new product lines as the company expands beyond coding environments.
  • Strengthening security, compliance, and infrastructure as the business scales.
What THEY’RE LOOKING FOR
  • 1-10 years of experience building high-quality, production-grade software — new graduates are also encouraged to apply.
  • Experience developing full-stack applications using a widely adopted programming language.
  • A detail-oriented, pragmatic problem solver who thrives on building robust systems in a fast-paced environment.
  • Strong systems thinking and the ability to work across the entire tech stack.
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