Google SWE Intern Resume Examples (Annotated, 2026)

Based on conversations with current and former Google university recruiters and engineers who run intern hiring loops, the screen is consistent across years:

• One page. Two pages is an automatic flag at the resume-screen stage for intern roles.
• Projects with scale. Numbers in your bullets — users, requests, dataset size, model accuracy. "Built a chat app" is invisible; "built a chat app that handled 4K concurrent connections via WebSockets" is the bullet that survives.
• Languages and tooling. Google still primarily uses C++, Java, Python, Go. If you have only worked in JavaScript, your projects need to show systems thinking.
• Hints of system design. "Designed schema for a 10M-row PostgreSQL database with 3 secondary indexes" hints at data modeling. "Wrote a Python script" does not.
• Signs of independent work. Hackathon wins, open-source contributions, research with a professor, GSoC, MLH Fellowship.

This pattern works for students applying to Google STEP — the Google internship program for first and second-year students.

JOSHUA KIM
joshua.kim@nyu.edu | (212) 555-0142 | linkedin.com/in/joshua-kim | github.com/joshkim | New York, NY

EDUCATION
New York University, Courant Institute
Bachelor of Science in Computer Science, Expected May 2029
GPA: 3.92 / 4.0 | Relevant Coursework: Data Structures, Discrete Math, Computer Systems Organization, Calculus II
Honors: Founders Day Scholar (top 5% of incoming class), Dean's List Fall 2025

EXPERIENCE
Undergraduate Research Assistant — Prof. Dennis Shasha, NYU Courant
Sep 2025 – Present | New York, NY
- Implementing a parallel SQL query optimizer in C++ for the team's distributed-database benchmark suite
- Reduced sort-merge join wall-clock time by 31% by replacing std::sort with a custom radix-sort path
- Co-authoring the engineering write-up targeting VLDB 2026 student workshop

Teaching Assistant — CSCI-UA 101 Intro to Computer Science
Jan 2026 – Present | New York, NY
- Lead 2 weekly recitations of 22 students each, covering Java and recursion
- Wrote 4 problem sets adopted as the standard homework set for the course's 280-student cohort

PROJECTS
TerminalMail — github.com/joshkim/terminalmail (★ 240)
- Python CLI client for Gmail and Outlook using IMAP and OAuth2; supports filters, search, and mark-as-spam
- 1,400+ active users from cold post to Hacker News; runs on Mac, Linux, WSL

GraphViz4Algos — github.com/joshkim/graphviz4algos
- TypeScript + D3.js visualizer for Dijkstra, A*, and BFS over user-uploaded graphs up to 10K nodes
- Adopted by the NYU CS department as the in-lecture visualization tool for CSCI-UA 102

SKILLS
Languages: Python, C++, Java, TypeScript, SQL
Frameworks & Tools: React, Node.js, PostgreSQL, Docker, Git, Linux
Coursework Tools: gdb, valgrind, perf, JUnit

Why this works. No internship, but the resume reads as someone who builds. Two GitHub projects with stars, a research role with measurable performance numbers, and a TA role that hints at communication ability. The GPA is high enough to include; relevant coursework is selective (4 courses, all foundational). One page, single-column, ATS-clean.

This pattern is the modal Google SWE intern applicant — someone with one internship returning for a second.

PRIYA SHARMA
priya.sharma@berkeley.edu | (510) 555-0193 | linkedin.com/in/priya-sharma-engineer | github.com/priyabuilds | Berkeley, CA

EDUCATION
University of California, Berkeley — College of Engineering
Bachelor of Science in Electrical Engineering & Computer Sciences, Expected May 2028
GPA: 3.81 / 4.0 | Coursework: CS61B Data Structures, CS61C Computer Architecture, CS70 Discrete Math, EECS16A
Awards: Berkeley Engineer's Council Scholarship, HackMIT 2025 1st place

EXPERIENCE
Software Engineering Intern — Roblox, Player Services
Jun 2025 – Aug 2025 | San Mateo, CA
- Built a Go-based feature-flag service that handled 18K requests/sec at p99 latency under 30ms
- Migrated 3 legacy player-account APIs from REST to gRPC; cut downstream service errors by 42%
- Shipped to production behind a 5%-canary rollout; project featured in the team's Q3 OKR review

Undergraduate Research Assistant — RISELab, UC Berkeley
Jan 2025 – May 2025 | Berkeley, CA
- Wrote PyTorch training pipeline for a Llama-3 1B-parameter fine-tune on 4xA100 GPUs
- Benchmarked LoRA vs full-finetune across 6 task suites; results contributed to internal lab report

PROJECTS
LedgerLens — github.com/priyabuilds/ledgerlens (winner, HackMIT 2025)
- Real-time fraud-detection pipeline: Kafka → Flink → Postgres; flagged anomalies on simulated stream of 500K transactions/min
- Built with 2 teammates in 36 hours; took first place out of 1,100 participants

Spotify Listening Wrapped Clone — open-source
- Next.js + Spotify Web API; pulls 12 months of listening history and renders interactive year-in-review cards
- 8,400 users in launch week; ranked #2 on the r/spotify monthly highlights thread

SKILLS
Languages: Go, Python, TypeScript, C++, SQL
Frameworks & Tools: gRPC, Kafka, Flink, PyTorch, React, Next.js, Docker, Kubernetes, AWS (S3, EKS)
Systems: Distributed systems fundamentals, observability (Grafana, Prometheus), CI/CD (GitHub Actions)

Why this works. The Roblox bullets translate directly to a Google reviewer — Go, gRPC, p99 latency, canary rollout. The hackathon win shows building under constraints. The Spotify clone shows independent product instinct. Coursework is short and signals systems exposure (CS61B/C). One page, ATS-clean.

Same Google role, different context. This applicant is on F-1 with a STEM-eligible Master's, applying for a summer internship that would convert to a return offer.

ANIRUDDH VENKATARAMAN (uh-NEE-rud)
av.venkat@stanford.edu | (650) 555-0118 | linkedin.com/in/aniruddh-venkat | github.com/avenkat | Stanford, CA
Work authorization: F-1 STEM OPT eligible (36 months total) starting June 2026

EDUCATION
Stanford University
Master of Science in Computer Science, Systems Track, Expected June 2026
GPA: 4.0 / 4.0 | Coursework: CS244 Advanced Networking, CS245 Database Systems, CS149 Parallel Computing
Indian Institute of Technology, Madras (top 1% engineering admit)
Bachelor of Technology in Computer Science, June 2024 | GPA: 9.21 / 10.0 (≈3.89 / 4.0)

EXPERIENCE
Graduate Research Assistant — Prof. Christos Kozyrakis, Stanford Systems Group
Sep 2025 – Present | Stanford, CA
- Designing a Rust-based memory allocator for serverless workloads; reduced cold-start memory overhead by 27%
- Co-authoring submission to OSDI 2026; first-author seat on the paper draft

Software Engineering Intern — Amazon Web Services, S3 Performance
Jun 2024 – Aug 2024 | Seattle, WA
- Optimized the S3 hot-key detection path in Java; reduced detection latency from 410ms to 95ms on the p99
- Wrote a new metrics-emission pipeline using internal Kafka; deployed across 3 commercial regions
- Received "Strong Hire" return-offer rating

PROJECTS
DistKV — github.com/avenkat/distkv
- Raft-based distributed KV store in Go, supporting linearizable reads across 5-node clusters
- Passed Jepsen-style fault-injection tests for split-brain, partition, and leader-failure scenarios

CUDA-Speedrun — github.com/avenkat/cuda-speedrun
- Hand-optimized CUDA kernels for matrix multiplication; reached 92% of cuBLAS FP32 throughput on A100
- Used as a teaching example in CS149 office hours

SKILLS
Languages: C++, Rust, Go, Python, Java, CUDA, SQL
Frameworks & Tools: PyTorch, Linux kernel hacking (eBPF), gRPC, Kafka, Spark, AWS (S3, EC2, Lambda)
Systems: Distributed consensus (Raft, Paxos), x86 perf tuning, GPU programming, OS internals

Why this works. Work-authorization line is in the header, quiet, framed around what is available (36 months STEM OPT). Stanford degree + IIT Madras with context tells the reviewer the academic signal. AWS internship with measurable systems impact translates directly to Google. Two projects that signal deep systems thinking — exactly what a Google interview will probe. ATS-clean and one page.

• Listing leetcode counts. "Solved 800 leetcode problems" tells a Google reviewer you grind, but not that you build. Use that space for a real project.
• Padding with online courses. Coursera certificates do not count as projects. Cite them only in the Education section as a single line if at all.
• Over-listing tech stacks. Listing 14 languages signals nothing — list the 5 you are interview-ready in.
• Ignoring the "Open Source" signal. Even a small accepted PR to a well-known project (anything with 1K+ GitHub stars) is a stronger signal than three solo side projects. Pick one repo, send one well-written PR.

For a deeper FAANG-specific playbook covering Amazon LP-aligned bullets, Meta speed-of-execution framing, and onsite prep, see the FAANG Resume Playbook. For 1:1 support on tech-specific resumes, see our tech-student service.