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New Grad Software Engineer Jobs (NOW HIRING)

Four Hands

Software Engineer - New Grad

Austin, TX · On-site

As an Entry-Level Software Engineer - New Grad, you'll help build solutions that support everything from eCommerce and inventory management to fulfillment and customer experience. You'll work ...

Four Hands

Software Engineer - New Grad

Austin, TX · Hybrid

As an Entry-Level Software Engineer - New Grad, you'll help build solutions that support everything from eCommerce and inventory management to fulfillment and customer experience. You'll work ...

Nooks

Software Engineer, New Grad

San Francisco, CA · On-site

$155K - $170K/yr

... software looks like. If you want to spend your early career solving hard technical problems ... What You'll Do As a new graduate engineer, you'll work across the stack and collaborate closely ...

Pylon Labs

Software Engineer, New Grad

San Francisco, CA · On-site

$150K - $180K/yr

Work with PMs, designers, and other engineers in a highly collaborative, non-waterfall way ... software development and can juggle multiple workstreams at the same time. * (Bonus) You have ...

Snapchat

Principal Software Engineer

San Francisco, CA · On-site

$159K - $213K/yr

Ability to proactively learn new concepts and technology and apply them at work * Skilled at ... years of post-grad software development experience * 2+ years of experience with technical ...

Snapchat

Principal Software Engineer

Los Angeles, CA · On-site

$145K - $195K/yr

Ability to proactively learn new concepts and technology and apply them at work * Skilled at ... years of post-grad software development experience * 2+ years of experience with technical ...

Traba

Software Engineer (New Grad)

New York, NY · On-site

$120K - $150K/yr

... is a product-engineering role first, so you'll go where the priorities are: some weeks that ... You explore new languages and frameworks happily, and can talk product with a designer one minute ...

Snapchat

Principal Software Engineer

Bellevue, NE

$127K - $171K/yr

Ability to proactively learn new concepts and technology and apply them at work * Skilled at ... years of post-grad software development experience * 2+ years of experience with technical ...

Snapchat

Principal Software Engineer

Los Angeles, CA

$145K - $195K/yr

Ability to proactively learn new concepts and technology and apply them at work * Skilled at ... years of post-grad software development experience * 2+ years of experience with technical ...

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Showing results 21-40

All JobsNew Grad Software Engineer Jobs

New Grad Software Engineer information

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$63.5K

$147.5K

$205.5K

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

As of Aug 7, 2026, the average yearly pay for new grad software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a new grad software engineer?

To thrive as a New Grad Software Engineer, you need a solid understanding of programming fundamentals, algorithms, and data structures, usually supported by a computer science degree or related field. Familiarity with common coding languages (such as Java, Python, or C++), version control systems like Git, and basic software development tools is typically expected. Strong problem-solving skills, eagerness to learn, teamwork, and effective communication help new engineers excel in dynamic team environments. These skills are crucial to adapting quickly, contributing to projects, and building a successful foundation in the software industry.

What typical projects or tasks might a new grad software engineer work on in their first year?

As a New Grad Software Engineer, you’ll often start by contributing to team projects through tasks like fixing bugs, writing unit tests, and developing small features under the supervision of senior engineers. You might participate in code reviews, collaborate on documentation, and learn to work with the company’s development tools and processes. Over time, as you demonstrate reliability and technical proficiency, you may be given ownership of more complex components or independent tasks. This structured approach helps you learn best practices, understand the codebase, and progressively build the confidence and experience needed for more advanced responsibilities.

What is a new grad software engineer?

A New Grad Software Engineer job is an entry-level software engineering role designed for recent college graduates with a degree in computer science or a related field. These roles typically involve writing and testing code, debugging software, and collaborating with more experienced engineers on various projects. Companies hire new grad engineers to help them grow their skills while contributing to real-world software development. The position often includes mentorship, training, and opportunities for career advancement.

Is 25 too late to become a new graduate software engineer?

The role of a new graduate software engineer typically targets recent graduates or those with less than two years of experience. Being 25 is not too late, as many employers value skills, internships, and relevant projects over age, and career changers often enter software engineering at this stage. Age should not be a barrier if you have the necessary technical skills and a strong portfolio.
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New Grad Software Engineer jobs near you
Infographic showing various New Grad Software Engineer job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Software Engineer, New Grad

Eventual Computing

San Francisco, CA • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

About Eventual
Every breakthrough Physical AI system - humanoid robots, autonomous vehicles, video generation models - is trained on petabytes of video, lidar, radar, and sensor data. But today's data platforms (Databricks, Snowflake) were built for spreadsheet-like analytics, not the multimodal corpora that power AI. As a result, robotics and video-AI teams iterate on model improvement about once a week. Most of that week isn't training - it's finding the right data: writing CV heuristics over raw footage, paying annotators for edge cases, hand-curating clips before a cluster ever spins up. GPU bandwidth has grown 2-3× per generation. Storage and pipelines haven't. The gap widens every year.
Eventual was founded in 2022 to close it. Our open-source engine, Daft, is the distributed data engine purpose-built for multimodal AI - already running 2 PB/day at Amazon, 60-100 PB at another FAANG company, and in production at Mobileye, TogetherAI, and CloudKitchens. We are building a video-native index on top of our engine for Physical AI that collapses the data iteration loop. Describe the dataset you want, get a curated table in minutes, feed it to your GPUs at line rate. One iteration per day becomes the norm.
We're building this in partnership with the top PhysicalAI labs and public AI infrastructure companies today. We have raised $30M from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and angels from the co-founders of Databricks and Perplexity. We've assembled a world-class team from AWS, Render, Pinecone and Tesla. We have spent our careers powering the last generation of PhysicalAI in self-driving, and are excited to now do this for the next.
Join our small (but powerful!) team working together 4 days/week in our SF Mission district office.
Your Role
If you're a new grad and the thought of spending the next two years bolting another LLM into another wrapper makes you tired, read on.
We build real systems. We move petabytes of video through GPU clusters. We profile flamegraphs. We argue about io_uring and Parquet footers. We write Rust and Python. We talk to robotics researchers at the world's top labs about what's actually broken in their training loop, and then we go fix it. The work is hard, the feedback loops are tight, and the impact lands in customer training runs the same week you ship.
As a new grad on our team, you'll work shoulder-to-shoulder with senior engineers on the layers that matter - Daft's distributed query engine, our video-native dataloader, the storage and indexing layer, the visual understanding pipeline, or the product surface researchers actually use. You'll be given real ownership early. You'll get mentorship from engineers who've spent careers on systems at AWS, Tesla, Pinecone, and Render. You'll ship code that runs on the most expensive GPU clusters on the planet.
We're looking for the kind of new grad who built something obsessive in undergrad - a database, a game engine, a kernel hack, a custom decoder, a research project that wouldn't quit - not because it was assigned, but because they couldn't stop thinking about it.
Key Responsibilities
  • Contribute to features across Eventual's stack: the open-source Daft query engine, the dataloading layer, the storage and indexing layer, or the visual understanding pipeline.
  • Profile, benchmark, and optimize real systems on real workloads - petabytes of customer video on real GPU clusters.
  • Write clean, maintainable Python and Rust. Read papers, prototype, ship to production.
  • Pair with senior engineers who'll teach you systems work the right way - and trust you with real ownership early.
  • Sit in on customer calls with researchers at top Physical AI labs. The shortest path from "researcher mentions a pain" to "engineer ships a fix" is the path we want you on.

What we look for
  • Within ~1 year of graduating, or recently graduated.
  • Strong programming fundamentals in Python, Rust, C++, or Go. Bonus points if you've reached for the lower-level languages because the problem demanded it.
  • A real love for systems, distributed systems, databases, or data infrastructure - the kind of love that shows up in side projects, course projects you took further than required, or open-source contributions.
  • Hungry. Curious. Willing to read papers, dig into a profiler, and stick with a hard problem until it gives.
  • Excited to work in person, in a small team, in an SF office, 4 days a week.

Nice to have
  • Built something obsessive in undergrad: a database, a query engine, a compiler, a custom decoder, a kernel module, a distributed system, an emulator, a graphics engine, a research project.
  • Open-source contributions, especially to systems projects.
  • Internship experience at a systems-heavy team - databases, ML infrastructure, GPU/HPC, storage, networking.
  • Familiarity with cloud technologies (AWS, GCP, Azure).
  • Background in computer architecture, OS, compilers, or distributed systems.

Perks & Benefits
  • In-person, tight-knit team - 4 days/week in our SF Mission office.
  • Competitive comp and meaningful startup equity.
  • Catered lunches and dinners for SF employees.
  • Commuter benefit.
  • Team-building events and poker nights.
  • Health, vision, and dental coverage.
  • Flexible PTO.
  • Latest Apple equipment.
  • 401(k) plan with match.

If you're tired of vibe-coding wrappers and ready to get cracked on systems that move petabytes of video through the most expensive GPU clusters on the planet, we'd love to talk.

Apply