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Grad Engineer Jobs in Oregon (NOW HIRING)

Nvidia

OR · Hybrid

Master's or PhD in Electrical or Computer Engineering, Computer Science, or Applied Mathematics (or equivalent experience). * Knowledge in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom ...

Intel

Engineering Planning Analyst

Hillsboro, OR

$76K - $108K/yr

As an Engineering Planning Analyst, you will be responsible for, but not limited to: Leading ... College Grad Shift:Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro ...

Symbotic

OR · On-site

This role works closely with experienced Project Managers and functional leads across engineering, supply chain, installation, commissioning, finance, and operations to keep projects aligned and ...

Nvidia

OR · On-site

Programming fluency in C/C++ with a deep understanding of algorithms and software design. * Hands-on experience with low-level parallel programming, e.g. CUDA (preferred), OpenACC, OpenMP, MPI ...

Rosendin

Electrical Project Manager

Hillsboro, OR

Whether you're a recent grad or a seasoned professional, you can experience meaningful career ... Bachelor's degree in Construction Management, Civil Engineering, Structural Engineering, or other ...

Nvidia

OR · On-site

Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services. What we need to see: * Ph.D. in Computer Science/Engineering, Electrical ...

Asante

Respiratory Care Practitioner

Medford, OR · On-site

$36.79 - $54.89/hr

... New Grad's Encouraged to Apply! External candidates may be eligible for Relocation Assistance ... engineering and technology to assess, educate and treat patients with cardiopulmonary disorders.

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Grad Engineer information

What is the difference between Grad Engineer vs Junior Engineer?

AspectGrad EngineerJunior Engineer
Required CredentialsBachelor's degree in engineering or related field; internship or project experienceBachelor's degree in engineering; entry-level position
Work EnvironmentTraining programs, mentorship, learning-focusedProject work, task execution, supervised responsibilities
Employer & Industry UsageEntry-level role in engineering firms, manufacturing, constructionInitial role for recent graduates in similar industries

In summary, a Grad Engineer is typically a recent graduate undergoing training and development, while a Junior Engineer is an entry-level professional responsible for supporting engineering projects. Both roles require similar educational backgrounds, but the Grad Engineer position emphasizes learning and skill-building.

What opportunities for mentorship and professional development are typically available to Grad Engineers?

Grad Engineers often benefit from structured mentorship programs and regular training sessions, designed to help them transition smoothly into the professional engineering environment. They typically work closely with senior engineers and project managers, gaining hands-on experience and feedback on their work. Many organizations also encourage Grad Engineers to attend workshops, pursue certifications, and participate in cross-functional projects, fostering both technical skills and professional growth. These opportunities support career advancement and help Grad Engineers build a strong foundation for future leadership roles.

What are Grad Engineers?

Grad Engineers, short for Graduate Engineers, are individuals who have recently completed an engineering degree and are beginning their professional careers. They typically join organizations in entry-level engineering roles, where they receive training, mentorship, and hands-on experience in their chosen field. Grad Engineers are expected to apply the theoretical knowledge gained during their studies to real-world projects, contributing to problem-solving and innovation within their teams. Over time, they develop technical and professional skills that prepare them for more senior engineering positions.

What are the key skills and qualifications needed to thrive as a Graduate Engineer, and why are they important?

To thrive as a Graduate Engineer, you need a strong foundation in engineering principles, analytical problem-solving, and a relevant engineering degree. Familiarity with industry-standard software such as AutoCAD, MATLAB, or SolidWorks, and sometimes certifications like EIT (Engineer in Training), are commonly expected. Effective communication, teamwork, and adaptability help you excel in collaborative and fast-paced project environments. These skills ensure you can contribute effectively to technical projects, learn quickly, and support organizational goals as you develop professionally.
What are popular job titles related to Grad Engineer jobs in Oregon? For Grad Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Grad Engineer jobs in Oregon look for? The top searched job categories for Grad Engineer jobs in Oregon are:
Grad Engineer jobs near you
Systems Performance Engineer, Agentic AI Workloads - New College Grad 2026

Systems Performance Engineer, Agentic AI Workloads - New College Grad 2026

Nvidia

Hillsboro, OR • On-site

Full-time

Posted 6 days ago

Job description

NVIDIA is looking for a Deep Learning Architect to join our team working at the cutting edge of AI infrastructure. As agentic LLM workloads reshape the demands placed on modern datacenters, we need engineers who can model, simulate, and reason about complex system-level traffic at scale. If you have a passion for performance analysis, a strong quantitative foundation, and excitement about the future of AI systems, we'd love to talk.


In this role, you will build and run simulations that capture the traffic dynamics of agentic AI workloads, mine the results for actionable insights, and help guide architectural decisions for next-generation datacenter and GPU systems.
What you'll be doing:

  • Develop and extend C++ and Python simulators that model system-level network and compute traffic for agentic LLM workloads in datacenter environments

  • Characterize real-world LLM serving workloads and distill them into representative simulator inputs

  • Run simulations at scale and apply statistical techniques to post-process and interpret results

  • Identify performance bottlenecks and translate findings into concrete architectural recommendations

  • Collaborate with hardware, software, and research teams to influence the design of future AI systems

What we need to see:

  • Pursuing or recently completed a MS, or PhD in CS, EE, Mathematics, or a related field (or equivalent experience)

  • Strong programming skills in C++ and Python

  • Solid foundations in queueing theory and traffic modeling (e.g., Erlang models, Little's Law)

  • Strong statistics background: characterize huge datasets with percentiles, distributions, and clustering techniques such as K-means

  • Understanding of deep learning fundamentals, LLMs, and modern inference serving frameworks

Ways to stand out from the crowd:

  • Hands-on experience with traffic or network simulators, even in an academic or course project context

  • Familiarity with roofline modeling and performance scaling of deep learning models at the kernel level

  • Experience running large-scale simulation campaigns and building data pipelines to process and visualize results

  • Prior work characterizing or benchmarking ML inference workloads

NVIDIA is widely considered one of the technology world's most desirable employers. We work on problems that matter - and we do it with some of the most talented engineers on the planet. If you're analytically sharp, intellectually curious, and ready to have real impact, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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