University Grad Software Engineer 2027 (USA)
About the Role
Pinterest is looking for inquisitive, collaborative university graduates to join their engineering teams. This role involves working closely with mentors and cross-functional partners to learn about large-scale systems, build new technologies, features, and tools, and contribute to engineering work across various domains.
Key Responsibilities
- Deliver code that is well-documented, tested, and operable.
- Execute scoped technical tasks end-to-end to help build the future of Pinterest.
- Take ownership of the completion, quality, and maintainability of tasks and projects.
- Leverage AI tools in daily engineering workflows for brainstorming, code writing/refining, and documentation.
- Collaborate with teammates and cross-functional partners to build products, systems, and tools.
- Proactively communicate ideas and perspectives with candor.
- Contribute to engineering work across backend, full stack, mobile, web, and security domains.
Requirements & Tech Stack
- Bachelor’s or Master’s degree in Computer Science or a related technical field, expected by June 2027.
- Availability to start full-time between January 2027 and September 2027.
- At least one year of programming experience through internships, research, coursework, teaching, personal projects, open source, or hackathons.
- Familiarity using AI as a learning, productivity, and engineering tool, and as an iterative coding partner.
- Strong foundation in computer science fundamentals, including data structures, algorithms, and software design.
- Experience with one or more programming languages such as Python, Java, JavaScript/TypeScript, Go, or C++.
- Familiarity with relevant frameworks, tools, or technologies such as React or similar.
- Technical requirements may vary by team.
Qualifications
- Previous software engineering internship experience is strongly preferred.
- Strong communication skills and product sense.
- Passion for Pinterest, comfort with ambiguity, and a growth mindset with a willingness to continuously learn.
Work Model
- The work model is guided by the type of work performed and may involve hybrid (commutable distance to an office, with in-person collaboration 1-2 times per week) or fully remote work within approved locations. Specifics will be confirmed during the interview and offer process.
Compensation & Benefits
- Base salary range for this position: $129,022—$174,283 USD.
- The position is also eligible for equity.
- Final salary depends on factors including location, travel, relevant prior experience, or particular skills and expertise.
- Information regarding culture and benefits can be found via provided links.