Cursor Logo

Cursor

Software Engineer, New Grad 2027

Posted 6 Days Ago
In-Office
San Francisco, CA, USA
Entry level
In-Office
San Francisco, CA, USA
Entry level
Build and ship product features across user-facing interfaces and backend systems for AI coding products. New graduates will own work end to end, improve product quality, prototype ideas, fix bugs, and collaborate with a small, high-ownership engineering team. Candidates should demonstrate strong engineering fundamentals, sound judgment using AI tools, fast learning, and an exceptional technical project or shipped product.
The summary above was generated by AI

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the Role

We're hiring new grad engineers to join SpaceXAI software engineering teams. You'll own real product work on the surfaces our users live in every day: Grok Bot, Cloud Agents, Cursor and the systems underneath.

You will design, build, and ship delightful and bulletproof products and systems that engineers love to use every day. This role values a strong attention to details, first principles reasoning, and great taste. That means picking up concrete problems, driving them end to end (UI through a bit of backend when needed), and raising the bar on taste and correctness while you move fast.

You'll work alongside a small, talent-dense team with high ownership and little hierarchy. Strong fundamentals matter. So does judgment about when to use AI tools as leverage without giving up correctness.

You may be a fit if:

  • You're graduating in Spring 2027 (CS, software engineering, computer engineering, or a related technical field).

  • You've already built something great — an app, OSS, or shipped product we can open and review (required).

  • You blend strong engineering and AI tools as leverage without giving up correctness.

  • You learn fast, take ownership, and have already done something meaningfully hard early (internships or equivalent industry experience welcome).

Sample projects include:
  • Adding a small UI improvement so AI-generated code or PRs are easier to read and review

  • Turning a teammate’s rough idea into a working prototype over a few days, then iterating based on feedback

  • Shipping a contained feature (frontend + a bit of backend), then fixing bugs and making it feel smoother after people use it

Applying

If there appears to be a fit, we'll reach out to schedule 2–3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.

In your application, please share an example of an exceptional technical project or product feature you've built that best demonstrates your technical capabilities (GitHub, live app, OSS, or shipped product).

Cursor San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

7 Days Ago
Remote or Hybrid
150K-165K Annually
Entry level
150K-165K Annually
Entry level
Artificial Intelligence • Machine Learning
Build and operate scalable software powering enterprise data science and AI platforms. Contribute across backend services, APIs, frontend features, and cloud integrations while working on high-impact projects. Collaborate with experienced engineers, apply modern software engineering practices, and learn technologies supporting reliable, reproducible, and compliant AI and MLOps solutions.
Top Skills: AWSAzureDockerGCPGoGraphQLKafkaKubernetesPostgresPythonReactRedisTypescript
5 Days Ago
In-Office
Entry level
Entry level
Software
Entry-level software engineers will build data infrastructure and product features for high-frequency, high-volume multimodal hardware data. They will collaborate closely with customers, work directly with users in the field, own projects from start to finish, support customer onboarding, and help expand the company’s platform for testing and validating complex hardware systems.
37 Minutes Ago
In-Office
Sunnyvale, CA, USA
157K-210K Annually
Senior level
157K-210K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead technical programs delivering GPU and CPU compute fleets from infrastructure handover through provisioning, validation, operational acceptance, and steady-state operations. Translate customer and business requirements into delivery plans, manage dependencies and blockers, assess capacity gaps, drive prioritization, establish readiness criteria, and coordinate cross-functional engineering and operations teams. Define delivery metrics, improve forecasting, and identify tooling, automation, and process improvements to increase provisioning throughput and operational readiness.
Top Skills: Computer NetworkingCpuData Center InfrastructureGpuHardware/Software IntegrationInfrastructure AutomationServer ProvisioningSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account