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Easiest Computer Science Jobs in Oregon (NOW HIRING)

Easiest Computer Science information

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$10

$10

How much do easiest computer science jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for easiest computer science in Oregon is $10.18, according to ZipRecruiter salary data. Most workers in this role earn between $10.19 and $10.19 per hour, depending on experience, location, and employer.

What are the easiest computer science jobs?

The easiest computer science jobs are typically entry-level positions that require basic programming knowledge and problem-solving skills. Examples include technical support specialist, junior web developer, quality assurance tester, or IT help desk technician. These roles often focus on routine tasks, troubleshooting, or simple coding assignments and may require less advanced computer science concepts. However, 'easiest' is subjective and can vary based on your background and interests.

What types of entry-level roles are available for candidates seeking the easiest transition into a computer science career?

For those new to the field, many companies offer entry-level positions such as IT support specialist, junior QA tester, or help desk technician, which require a foundational understanding of computer science concepts but often provide on-the-job training and mentorship. These roles typically involve troubleshooting, basic programming, or software testing, allowing you to build technical skills in a structured environment. Working in these positions can provide exposure to a range of technologies and prepare you for more complex computer science roles as you gain experience. Collaboration with IT teams and end users is common, fostering communication and problem-solving abilities essential for career growth.

What are the key skills and qualifications needed to thrive as a computer science professional, and why are they important?

To thrive as a Computer Science professional, you need a solid understanding of programming languages, algorithms, and data structures, typically supported by a degree in computer science or a related field. Familiarity with technical tools such as integrated development environments (IDEs), version control systems like Git, and knowledge of software development methodologies is important. Problem-solving, analytical thinking, and effective communication are essential soft skills that help in collaborating with teams and addressing complex technical challenges. These skills are crucial for delivering efficient, reliable solutions and succeeding in a constantly evolving technological landscape.

What is the difference between Easiest Computer Science vs Software Developer?

AspectEasiest Computer ScienceSoftware Developer
Required CredentialsTypically a bachelor's degree in computer science or related fieldUsually a bachelor's degree in computer science, software engineering, or related field
Work EnvironmentAcademic settings, entry-level roles, or internshipsCorporate, startup, or freelance projects
Industry UsageEducational institutions, tech companies, governmentTech companies, software firms, app development
Search & Comparison IntentUnderstanding entry-level or beginner roles in CSComparing roles for career development in software development

Overall, Easiest Computer Science typically refers to entry-level or foundational roles requiring basic CS knowledge, while Software Developer involves designing, coding, and maintaining software applications, often requiring more practical experience and technical skills.

What is the easiest field in computer science?

In computer science, roles such as technical support or entry-level programming are often considered easier for beginners due to lower complexity and minimal prior experience required. These positions typically involve basic troubleshooting, coding, or maintenance tasks and may require foundational skills in programming languages like Python or Java. However, the perceived difficulty varies based on individual aptitude and learning approach.

What are the most commonly searched types of Easiest Computer Science jobs in Oregon?

The most popular types of Easiest Computer Science jobs in Oregon are:

What are popular job titles related to Easiest Computer Science jobs in Oregon?

For Easiest Computer Science jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Easiest Computer Science jobs in Oregon look for?

The top searched job categories for Easiest Computer Science jobs in Oregon are:

Infographic showing various Easiest Computer Science job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $21,167 per year, or $10.2 per hour.

Senior Engineering Manager, Infrastructure Security Engineering - DGX Cloud

Nvidia

OR • On-site, Remote

Full-time

Posted yesterday

New


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

NVIDIA DGX Cloud is the AI supercomputing-as-a-service substrate designed to power the next generation of AI and industrial-scale breakthroughs. As an Engineering Manager within our Infrastructure Security Engineering organization, you will enable the engineers who secure a GPU fleet numbering in the hundreds of thousands. Your team does not write reports about risk.

It engineers whole classes of risk out of existence, and delivers the result as paved roads the rest of DGX Cloud will happily take. What You Will Be Doing: Grow the Team: Manage, coach, and develop a distributed team of senior security and infrastructure engineers. You own hiring, growth, and performance, and you build a bench deep enough that our capability never rests on one person.

Heroics signal a system that needs fixing, so you protect sustainable pace. Set Technical Direction: Partner with your engineers on the roadmap for our security control plane, our foundational security services, and the path toward autonomous security operations. Leadership owns the mission and the strategy; the team owns the execution.

Deliver Outcomes, Not Tickets: Run a lightweight planning rhythm where the team commits to a result and the reason it matters, then reflects openly on what to change next. We are measured by the risks we eliminate, not the tickets we close. Assemble Teams Around the Work: Staff each effort with the smallest group who can deliver it, and a clear owner accountable for landing it.

Teams form around the work and dissolve when it's done. Make that motion fast, fair, and a real growth opportunity. Raise the Engineering Bar: Hold a high standard for what "done" means: tested code, observability, operational readiness, and documentation someone who didn't build the system can operate from.

AI-assisted work ships with real human ownership behind it. Communicate Risk Upward: Translate a complex, fast-moving risk picture into something executives can act on. Declare the unknowns honestly, turn risk assessment into measurable themes, and make trade-offs legible to the people funding them.

Multi-Functional Collaboration: Build the partnerships that make the work land. We operate horizontally across vertically organized teams, with influence rather than authority. Your credibility with DGX Cloud platform, SRE, networking, and broader NVIDIA security partners is a delivery mechanism, not a nicety.

What We Need to See: We are looking for high-caliber engineering leaders with deep spikes of expertise in a few of these areas and the intellectual curiosity to dive into the rest. If your experience aligns with the core of this role-building and growing teams that engineer risk out of existence-and you can show us how, we want to hear from you. Engineering Management: Experience (7+ years) managing engineers, within a broader career (14+ years) across software engineering, SRE, infrastructure, or security.

You have grown people, not only shipped projects. Technical Credibility: Enough hands-on depth in infrastructure, distributed systems, or security engineering to earn the trust of senior engineers. You can review a design honestly and recognize when an estimate doesn't add up.

You don't need to be the best engineer in the room; you need to build the room. Hiring and Developing Talent: A history of attracting, hiring, and growing excellent engineers, including people far more expert than you in their domain. You build interview and calibration practices that make hiring repeatable and fair.

Delivery Under Ambiguity: You can take a high-stakes, loosely defined mandate and turn it into sequenced, measurable delivery. You are comfortable proving a model on a few systems first, then using that success to expand. Cloud-Native and Security Fluency: Working understanding of cloud-native architecture, container orchestration (Kubernetes), identity and access, policy enforcement, and vulnerability management-enough to build it and ask the questions that matter.

Influence Without Authority: Experience delivering through partner teams you do not own, in environments where relationships, not org charts, determine whether the work ships. Foundation: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience). Ways To Stand Out from the Crowd: HPC/AI Infrastructure: Experience running teams that secure or operate high-performance computing environments, large GPU fleets, or multi-tenant platforms at cloud scale.

Security as an Internal Product: You have delivered security or infrastructure capabilities with real adoption metrics, where teams took the paved road because it was the easiest path. Building a Function from Scratch: Experience standing up a team, a practice, or an engineering culture where none existed-charter, agreements, rituals, and all. Scaling Without Dilution: A history of growing a team quickly while the bar went up rather than down.

How have you scaled a team and raised the standard at the same time. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 4, 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.


What Nvidia employees say

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Hours and flexibility

Workplace

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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