New Grad Software Engineer — Onsite SF with Equity

Together AI

San Francisco (CA)

On-site

USD 150,000 - 160,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Equity

Job summary

Together AI, the AI Native Cloud, seeks an early-career Software Engineer to design scalable systems, build product features, and optimize performance-critical code. You’ll join cross-functional teams at our San Francisco HQ, contributing to high-impact projects and learning from seasoned engineers.

The role targets recent graduates with solid CS foundations and a passion for rapid learning, offering on-site collaboration across ML, Platform, Infrastructure, and Inference teams.

Qualifications

  • Pursuing a CS/SE degree or similar, expected by Summer 2027.
  • Strong fundamentals in data structures, algorithms, and systems thinking.
  • Hands-on experience via internships, personal projects, or prior roles.
  • Experience with Git and collaborative development workflows.
  • Ability to explain trade-offs clearly and learn quickly.

Responsibilities

  • Develop and maintain software across the tech stack from system to UI.
  • Collaborate with product managers, designers, and engineers to ship features.
  • Own projects end to end with high autonomy.
  • Participate in code reviews, debugging, and performance tuning.
  • Contribute ideas to shape product direction and infrastructure.
  • Work on real projects and learn from experienced engineers.

Skills

Data structures
Algorithms
Systems thinking
Git
Problem solving
Learning mindset

Education

B.S./B.A. in CS or Software Eng. expected by 2027

Tools

Git

Job description

Together AI, the AI Native Cloud, seeks an early-career Software Engineer to design scalable systems, build product features, and optimize performance-critical code. You’ll join cross-functional teams at our San Francisco HQ, contributing to high-impact projects and learning from seasoned engineers.

The role targets recent graduates with solid CS foundations and a passion for rapid learning, offering on-site collaboration across ML, Platform, Infrastructure, and Inference teams.

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