New Grad Software Engineer - On-Site SF, Equity & Growth

Together

San Francisco (CA)

On-site

USD 150,000 - 160,000

Full time

4 days ago
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Benefits offered by this job

Startup equity
Health insurance
On-site work

Job summary

Together AI, the AI Native Cloud, is seeking an early career Software Engineer for their San Francisco HQ. You’ll design scalable systems, build product features, and optimize performance while collaborating with cross-functional teams on robust, user-focused solutions.

This on-site role spans ML, Platform Engineering, Infrastructure, and Inference, offering hands-on learning with experienced professionals and real, meaningful projects that drive cutting-edge technology.

Qualifications

  • Pursuing or recently completed degree in CS/SE as of Summer 2027.
  • Solid CS fundamentals including data structures and algorithms.
  • Hands-on experience via internships, personal projects, or prior roles.
  • Familiarity with Git and collaborative workflows.
  • Strong problem-solving and communication abilities.
  • Enthusiasm for learning in a fast-paced, collaborative environment.

Responsibilities

  • Design, develop, and maintain software across the stack, from low-level systems to customer UIs.
  • Collaborate with product managers, designers, and engineers to deliver features.
  • Own projects end-to-end with high autonomy.
  • Participate in code reviews, debugging, and performance optimization.
  • Contribute ideas to shape product direction and infrastructure.
  • Learn from experienced professionals on real projects.

Skills

CS fundamentals
Internship experience
Problem solving
Communication

Education

Pursuing CS/Software Eng degree

Tools

Git

Job description

Together AI, the AI Native Cloud, is seeking an early career Software Engineer for their San Francisco HQ. You’ll design scalable systems, build product features, and optimize performance while collaborating with cross-functional teams on robust, user-focused solutions.

This on-site role spans ML, Platform Engineering, Infrastructure, and Inference, offering hands-on learning with experienced professionals and real, meaningful projects that drive cutting-edge technology.

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