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Temporary Nvidia Engineering Jobs (NOW HIRING)

TEKsystems

Openshift Platform Engineer

Chandler, AZ · Hybrid

$70 - $89/hr

This role requires deep expertise in Kubernetes, containers, Linux, and platform engineering, with ... Familiarity with GPU platforms, NVIDIA software stack, or high-performance AI infrastructure.

TEKsystems

Openshift Platform Engineer

Chandler, AZ · Hybrid

$70 - $89/hr

This role requires deep expertise in Kubernetes, containers, Linux, and platform engineering, with ... Familiarity with GPU platforms, NVIDIA software stack, or high-performance AI infrastructure.

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Temporary Nvidia Engineering information

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$57K

$137K

$197K

How much do temporary nvidia engineering jobs pay per year?

As of Jun 27, 2026, the average yearly pay for temporary nvidia engineering in the United States is $137,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $151,500.00 per year, depending on experience, location, and employer.

What are Temporary Nvidia Engineering jobs?

Temporary Nvidia Engineering jobs are short-term positions at Nvidia, typically filled to meet project demands, cover employee absences, or provide specialized skills for a limited period. These roles can range from hardware and software engineering to research and development positions. Temporary engineers work on innovative projects involving graphics processing, AI, and other cutting-edge technologies. Although these jobs are not permanent, they provide valuable experience and networking opportunities within a leading tech company like Nvidia.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, hardware engineering, or systems architecture can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries like technology or aerospace. These roles often require advanced degrees, certifications, and leadership responsibilities.

How difficult is it to get hired at NVIDIA?

Getting hired for a temporary engineering position at NVIDIA can be competitive, often requiring strong technical skills, relevant experience, and a solid understanding of GPU architecture and programming. Candidates typically go through multiple interview rounds, including technical assessments and behavioral interviews, to demonstrate their qualifications. Having a relevant degree and proficiency in tools like CUDA can improve chances of selection.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but entry-level engineers typically earn between $80,000 and $120,000 annually. Senior engineers and specialists can earn over $150,000, with total compensation often including bonuses and stock options. Skills in GPU architecture, programming, and hardware design are highly valued in this field.

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

To thrive as a Temporary Nvidia Engineer, you need a solid background in computer engineering, programming (C/C++ or Python), and experience with hardware or software development, often supported by a relevant degree. Familiarity with Nvidia’s development tools such as CUDA, GPU architecture, and version control systems is typically required. Strong problem-solving skills, adaptability, and effective communication help you quickly integrate with teams and adapt to project needs. These skills ensure high productivity and quality contributions in a fast-paced, innovation-driven environment where contract roles demand rapid impact.

What is the difference between Temporary Nvidia Engineering vs Temporary Nvidia Data Scientist?

AspectTemporary Nvidia EngineeringTemporary Nvidia Data Scientist
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentHardware development, software engineering, system testingData analysis, model development, statistical analysis
Employer & Industry UsageUsed in hardware and software product development within NvidiaUsed in AI, machine learning projects, and data-driven solutions at Nvidia

Temporary Nvidia Engineering focuses on hardware and software development, requiring engineering credentials and working in product development environments. In contrast, Temporary Nvidia Data Scientist emphasizes data analysis and modeling skills, working primarily on AI and machine learning projects. Both roles are essential in Nvidia's innovation pipeline but differ in their technical focus and daily tasks.

What types of projects do Temporary Nvidia Engineering roles typically work on, and how do they collaborate with full-time teams?

Temporary Nvidia Engineering roles often focus on short-term, high-priority projects such as software development, hardware validation, or performance optimization. Contractors are usually integrated into existing teams and work closely with full-time engineers, project managers, and cross-functional partners to meet project milestones. While the assignments are time-bound, temporary engineers are expected to contribute actively during team meetings, participate in code reviews, and share updates regularly. This collaborative environment helps ensure project continuity and gives temporary staff valuable exposure to Nvidia’s cutting-edge technologies and workflows.

What engineers make $500,000?

Senior engineers in specialized fields such as software, hardware, or systems engineering at large technology companies can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require extensive experience, advanced skills, and sometimes advanced degrees or certifications. Compensation varies based on industry, location, and company size.
More about Temporary Nvidia Engineering jobs
What cities are hiring for Temporary Nvidia Engineering jobs? Cities with the most Temporary Nvidia Engineering job openings:
What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
What states have the most Temporary Nvidia Engineering jobs? States with the most job openings for Temporary Nvidia Engineering jobs include:
What job categories do people searching Temporary Nvidia Engineering jobs look for? The top searched job categories for Temporary Nvidia Engineering jobs are:
Temporary Nvidia Engineering jobs near you
Infographic showing various Temporary Nvidia Engineering job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $137,006 per year, or $65.9 per hour.
Software Development Engineer, Amazon Robotics

Software Development Engineer, Amazon Robotics

Amazon

North Reading, MA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,891 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Join Amazon Robotics and help transform how the world moves goods through innovative robotic solutions. As a Software Engineer, you'll partner with a talented, multidisciplinary team to design and develop the cloud and edge software components that power our robotic systems, directly impacting the experiences of millions of customers worldwide.
In this role, you'll focus on developing Linux Kernel device drivers and edge computing solutions that enable our robotic hardware to operate seamlessly. You'll work across multiple layers of our distributed software architecture, partnering with hardware teams and internal customers to integrate and deploy complete solutions

Your day might include designing driver implementations, troubleshooting hardware-in-the-loop testing frameworks, or working with workcell teams to refine how our software and hardware work jointly in real-world environments. You'll also participate in code reviews, contribute to architectural discussions, and help shape how we approach scalability and reliability in our robotic systems.
We are a partner-focused group of engineers and innovators dedicated to advancing robotics and software to solve real-world challenges. Our team works across hardware and software domains, partnering closely with internal customers and workcell teams to deliver integrated solutions that make a tangible difference

We're focused on building robust, scalable systems that can adapt and improve over time. When you join us, you'll be part of a community that values problem-solving, continuous learning, and the mutual mission of transforming how work gets done through robotics.
Key job responsibilities
- Develop and maintain Linux Kernel device drivers that enable communication between Amazon roboti
- Design and implement edge computing components that process data and control robotic operations with minimal latency
- Build and optimize Yocto-based builds for NVIDIA platforms to ensure efficient deployment across our robotic fleet
- Partner with workcell teams and internal customers to integrate software solutions with hardware systems and gather feedback for continuous improvement
- Establish and maintain hardware-in-the-loop testing frameworks that validate software performance and reliability in realistic operating conditions
A day in the life
Communicate with peer engineers and customers to design and implement software and platform features, including new device drivers, GreenGrass components, AWS services, reporting, etc. You'll work with your manager for Sprint planning and monthly/quarterly goal setting.
Amazon offers a full range of benefits for you and eligible family members, including domestic partners

Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2.

Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you.

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply.
About the team
The Matrix team builds cloud and edge solutions used across Amazon Robotics.

What Amazon employees say

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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