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New Grad Software Google Jobs (NOW HIRING)

Snap Inc.

Principal Software Engineer, Level 7

San Francisco, CA · On-site

$159K - $213K/yr

... new concepts and technology and apply them at work • Skilled at solving ambiguous problems • ... grad software development experience; or a PhD in a related technical field + 6+ years of post-grad ...

SeatGeek

Software Engineer - New Grad

New York, NY · On-site

$110K - $130K/yr

Experience is preferred, but not required - in fact, we look forward to supporting you by teaching you new technologies and mentoring you in software development craft as a member of our world-class ...

SeatGeek

Software Engineer - New Grad

Manhattan, NY · Remote

$110K - $130K/yr

Experience is preferred, but not required - in fact, we look forward to supporting you by teaching you new technologies and mentoring you in software development craft as a member of our world-class ...

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New Grad Software Google information

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$39.5K

$92.6K

$180.5K

How much do new grad software google jobs pay per year?

As of Jun 19, 2026, the average yearly pay for new grad software google in the United States is $92,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $110,000.00 per year, depending on experience, location, and employer.

What is the difference between New Grad Software Google vs Software Engineer I?

AspectNew Grad Software GoogleSoftware Engineer I
Required CredentialsBachelor's degree in CS or related field, internship experienceBachelor's degree in CS or related field, 0-2 years experience
Work EnvironmentFast-paced, collaborative, innovative tech environmentEntry-level, team-oriented, project-focused
Employer & Industry UsageGoogle, tech industry, software developmentTech companies, software development, IT industry

The main difference between a New Grad Software Google and a Software Engineer I is that the former is an entry-level role specifically at Google, often with internship experience, while the latter is a general entry-level software engineering position across various companies. Both roles require similar educational backgrounds and focus on foundational software development skills, but the Google role may include specific interview processes and company-specific expectations.

Infographic showing various New Grad Software Google job openings in the United States as of June 2026, with employment types broken down into 10% Locum Tenens, 7% Internship, 48% Full Time, 15% Part Time, 6% Temporary, and 14% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $92,595 per year, or $44.5 per hour.
Software Engineer, New Grad

Software Engineer, New Grad

Foxglove Technologies, Inc

San Francisco, CA • On-site

$150K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Build the data infrastructure for robots operating in the real world.
Robotics is moving from research labs into production across factories, warehouses, vehicles, and field deployments. When robots fail, behave unexpectedly, or need to be improved, engineers rely on data to understand what actually happened.
At Foxglove, we build the observability, visualization, and data infrastructure that makes that possible. Our tools are used by robotics and autonomous systems teams to ingest, store, query, replay, and analyze massive volumes of multimodal sensor data from live systems and from production fleets.
About the Role We're looking for a new grad Machine Learning Engineer to join our team building the ML infrastructure that powers robotics and autonomous systems at scale. You'll work at the intersection of applied ML and production systems - from selecting and deploying models against high-cardinality multimodal robotics data to building the foundational ML tooling that robotics engineers rely on every day. This role is ideal for someone who's excited about physical AI and wants to ship things that work in production, not write papers.
Key Responsibilities
  • Building and owning inference infrastructure - model serving, scaling, latency/cost optimization (think TorchServe, vLLM, Triton)
  • Selecting models for object detection/understanding, embedding computation, text captioning, and more - applied against high-cardinality, multimodal robotics data (video, point clouds, timeseries)
  • Standing up semantic search over petabyte-scale robotics data using vector databases and embedding models
  • Designing evaluation and training pipelines so the team can iterate quickly on model performance
  • Ingesting and serving massive volumes of sensor data through batch and realtime pipelines
  • Developing product features to help robotics engineers organize, search over, and serve their data for training ML models
  • Making real build-vs-buy decisions on cloud architecture across multi-cloud environments (GCP, AWS, Azure)
  • Collaborating with product engineers to ship features that go directly to customers building robotics and autonomous systems

Our Technical Stack
  • Rust, TypeScript, PostgreSQL
  • Kubernetes
  • GCP, Azure, and AWS
  • Agentic coding tools (Claude Code / Cursor)

What We're Looking For
  • Bachelor's or Master's degree in Computer Science, Robotics, or a related field (recent graduates or graduating in 2026)
  • Hands-on ML experience - through internships, research, or academic projects - with a bias toward applied/production work over research
  • Familiarity with ML frameworks and inference tooling (e.g., PyTorch, TorchServe, vLLM, Triton, or similar)
  • Experience writing software in Python, Rust, C++, or TypeScript
  • Exposure to distributed systems concepts, cloud infrastructure (GCP, AWS, Azure), or data-intensive applications
  • Familiarity with vector databases, embedding models, or retrieval systems
  • Familiarity with SQL databases and an interest in query engines, big data storage and retrieval, and data-intensive systems
  • Passion for building technical tools where engineers are the primary users
  • Excellent written and verbal communication skills
  • Eagerness to learn and thrive in a fast-paced, small team environment
  • A mindset that considers customer impact when making technical decisions

Bonus Points
  • Experience with model optimization techniques - quantization, distillation, mixed precision, or TensorRT
  • Familiarity with fine-tuning or domain adaptation for vision, language, or multimodal models
  • Experience with sensor data pipelines (lidar, camera, IMU, etc.) or autonomous vehicle software stacks
  • Published robotics or ML research, or contributions to open-source projects
  • Experience with Spark/Databricks or large-scale data processing
  • Exposure to infrastructure-as-code (Terraform), Kubernetes, or cloud provider administration
  • Interesting personal projects that solved a real problem

What We Offer
  • $300 monthly budget towards commuter benefits or building your personal workspace (remote only)
  • Competitive equity grant in a Series B company
  • Medical, Dental, Vision, and Term Life insurance coverage at 100% for employees and 75% for dependents
  • 401(k) matching up to 4%
  • 4 weeks vacation, plus holidays and winter break
  • All expenses paid company off-sites 1-2× per year

Why Join Us
  • Impact: Own growth at a fast-growing, high-leverage moment for the company.
  • Mission: Accelerate the development of the next generation of robotics and embodied AI.
  • Team: Work with world-class engineers, designers, and researchers passionate about open-source and developer tools.
  • Ownership: Drive initiatives end-to-end, with high autonomy and visibility.

Apply