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Recent Grad Engineer Jobs (NOW HIRING)

Description We're seeking driven Civil Engineering students and recent graduates who are ... If you are a recent grad or you have up to three years' experience, we're interested. You should ...

Entry Level Engineer

Rockford, IL · On-site

$70K - $75K/yr

Entry Level Engineer Department: Civil/Municipal Employment Type: Full Time Location: Rockford, IL ... If you are a recent grad or you have up to three years' experience, we're interested. You should ...

Associate Agile Developer in Test

Phoenix, AZ · On-site

$49.75 - $64/hr

As an SDET Intern / Recent College Graduate, you'll help with release verification while also ... REQUIRED KNOWLEDGE: (Intern / Recent Grad level) * Currently pursuing or recently completed a ...

We're seeking driven Civil Engineering students and recent graduates who are enthusiastic about ... If you are a recent grad or you have up to three years' experience, we're interested. You should ...

Are you a recent grad or early-career engineer ready to dive into hands-on design work that directly shapes critical infrastructure? We're seeking a motivated junior Design Engineer to join our ...

Are you a recent grad or early-career engineer ready to dive into hands-on design work that directly shapes critical infrastructure? We're seeking a motivated junior Design Engineer to join our ...

Whether you're a recent grad or a seasoned professional, you can experience meaningful career ... YOUR NEXT OPPORTUNITY: The Engineer II is a mid-level engineering position responsible for ...

Whether you're a recent grad or a seasoned professional, you can experience meaningful career ... YOUR NEXT OPPORTUNITY: The Engineer II is a mid-level engineering position responsible for ...

Whether you're a recent grad or a seasoned professional, you can experience meaningful career ... YOUR NEXT OPPORTUNITY: The Engineer II is a mid-level engineering position responsible for ...

Whether you're a recent grad or a seasoned professional, you can experience meaningful career ... YOUR NEXT OPPORTUNITY: The Engineer II is a mid-level engineering position responsible for ...

Whether you're a recent grad or a seasoned professional, you can experience meaningful career ... YOUR NEXT OPPORTUNITY: The Engineer II is a mid-level engineering position responsible for ...

Whether you're a recent grad or a seasoned professional, you can experience meaningful career ... YOUR NEXT OPPORTUNITY: The Engineer II is a mid-level engineering position responsible for ...

Whether you're a recent grad or a seasoned professional, you can experience meaningful career ... YOUR NEXT OPPORTUNITY: The Engineer II is a mid-level engineering position responsible for ...

Showing results 41-60

Recent Grad Engineer information

See salary details

$11K

$72.6K

$125.5K

How much do recent grad engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for recent grad engineer in the United States is $72,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $83,000.00 per year, depending on experience, location, and employer.

What does a recent grad engineer do?

A Recent Grad Engineer is an entry-level engineer who has recently completed their degree and is starting their professional career. They typically work under the supervision of more experienced engineers and assist with designing, testing, and implementing engineering projects. Their responsibilities may include data analysis, drafting reports, collaborating with multidisciplinary teams, and learning industry-specific tools and protocols. The role provides valuable hands-on experience and helps build the foundational skills necessary for a successful engineering career.

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

To thrive as a Recent Grad Engineer, you need a solid grounding in engineering fundamentals, problem-solving, and analytical thinking, usually supported by a relevant engineering degree. Familiarity with industry-standard software like AutoCAD, MATLAB, or SolidWorks, and basic project management tools, is highly beneficial. Strong communication, teamwork, and a willingness to learn help recent graduates stand out as they adapt to professional environments. These skills and qualities are crucial for effectively contributing to projects, learning from experienced colleagues, and advancing within the engineering field.

What are some common challenges recent grad engineers face when transitioning from academia to industry?

Recent grad engineers often find the shift from academic projects to real-world engineering work challenging due to differences in project scope, pace, and collaboration. In industry, you’ll likely work in cross-functional teams, handle multiple tasks simultaneously, and need to communicate your ideas clearly to both technical and non-technical colleagues. Additionally, adapting to industry-standard tools, workflows, and expectations regarding deadlines and deliverables can require adjustment. Seeking mentorship and proactively asking questions can help ease this transition and accelerate your professional growth.

What is the difference between Recent Grad Engineer vs Entry-Level Engineer?

AspectRecent Grad EngineerEntry-Level Engineer
Required CredentialsBachelor's degree in engineering or related field; internship or co-op experience often preferredBachelor's degree in engineering; minimal work experience required
Work EnvironmentTypically in engineering firms, manufacturing plants, or construction sitesSimilar environments, often in design, testing, or project support roles
Employer & Industry UsageCommonly used for recent graduates starting their engineering careersUsed interchangeably with 'Recent Grad Engineer' in many companies

Recent Grad Engineer and Entry-Level Engineer are often used interchangeably to describe individuals starting their engineering careers with minimal professional experience. Both roles typically require a bachelor's degree and involve similar work environments. The main difference is that 'Recent Grad Engineer' emphasizes recent graduation, while 'Entry-Level Engineer' highlights the level of experience. Employers may use these titles based on their hiring preferences, but both serve as starting points for engineering professionals.

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What cities are hiring for Recent Grad Engineer jobs?

Cities with the most Recent Grad Engineer job openings:

What states have the most Recent Grad Engineer jobs?

States with the most job openings for Recent Grad Engineer jobs include:

Infographic showing various Recent Grad Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $72,591 per year, or $34.9 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 6 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.