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Entry Level Nvidia Nvidia Jobs (NOW HIRING)

FieldAI

Robotics QA / QC Engineer

Irvine, CA

... entry-level candidates with relevant experience or projects) * Comfort working with physical ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA

$30 - $45/hr

... entry-level candidates with relevant experience or projects) * Comfort working with physical ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

... entry-level candidates with relevant experience or projects) > * Comfort working with physical ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

... to strong entry-level candidates with relevant experience or projects) Comfort working with ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

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How much do entry level nvidia nvidia jobs pay per year?

As of Jun 6, 2026, the average yearly pay for entry level nvidia nvidia in the United States is $72,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $83,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Nvidia Nvidia vs Entry Level Nvidia Software Engineer?

AspectEntry Level Nvidia NvidiaEntry Level Nvidia Software Engineer
Required CredentialsAssociate degree or relevant certifications, basic knowledge of GPU technologyBachelor's degree in Computer Science or related field, familiarity with programming languages
Work EnvironmentResearch labs, hardware testing, collaborative teamsSoftware development teams, coding, debugging, testing
Industry UsageHardware design, GPU development, testingSoftware development, driver programming, application support

Entry Level Nvidia Nvidia roles focus on hardware testing and GPU technology, requiring basic certifications and hardware knowledge. In contrast, Entry Level Nvidia Software Engineer positions emphasize programming skills and software development experience. Both roles are within Nvidia's tech environment but differ in daily tasks and skill requirements.

What are entry level Nvidia jobs?

Entry level Nvidia jobs are positions within Nvidia that are designed for recent graduates or individuals with limited professional experience in the tech industry. These roles typically include job titles such as software engineer, hardware engineer, data scientist, and technical support specialist. Entry level employees at Nvidia work on projects related to graphics processing units (GPUs), artificial intelligence, and high-performance computing. These positions often provide mentorship, training, and opportunities for career advancement within the company.

What types of projects can an entry-level employee expect to work on at Nvidia, and how do these contribute to professional growth?

As an entry-level employee at Nvidia, you can expect to work on a variety of projects ranging from software development and testing to hardware validation and optimization, depending on your specific role. These projects often involve collaboration with experienced engineers and cross-functional teams, providing valuable exposure to Nvidia's cutting-edge technologies in AI, graphics, and high-performance computing. This hands-on experience not only helps you build technical skills but also offers insight into the company's innovative culture and fast-paced work environment, accelerating your professional growth.

What are the key skills and qualifications needed to thrive as an Entry Level NVIDIA Engineer, and why are they important?

To thrive as an entry-level NVIDIA engineer, you generally need a bachelor’s degree in computer science, electrical engineering, or a related field, with strong programming skills in languages like C++ or Python. Familiarity with GPU architectures, CUDA programming, and version control systems such as Git is typically expected. Critical thinking, problem-solving abilities, and effective teamwork are standout soft skills in this role. These competencies ensure you can contribute to innovative hardware and software solutions while collaborating effectively in high-performance tech environments.
Infographic showing various Entry Level Nvidia Nvidia job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $72,781 per year, or $35 per hour.

Robotics QA / QC Engineer

FieldAI

Irvine, CA

Full-time

Posted 17 days ago

Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

We are looking for a Robotics QA/QC Engineer to own hands-on validation and testing of robotic systems in controlled environments at our Irvine facility.

In this role, you will work directly with robots, monitor system behavior, identify issues, and ensure reliable and safe operation prior to deployment. You will collaborate closely with engineering teams to surface bugs, validate fixes, and improve overall system quality.

This is a highly practical, execution-focused role where you will be deeply involved in day-to-day testing and validation of physical systems.

If you enjoy working with hardware, troubleshooting in real time, and being the final quality gate before systems ship, this role is for you.

What You Get to Do:

  • Execute manual and structured testing of robotic systems in lab and controlled environments

  • Monitor robot behavior during operation to ensure safe and expected performance

  • Identify, document, and reproduce bugs, anomalies, and edge cases

  • Capture detailed test logs including failures, inconsistencies, and performance issues

  • Partner with engineering teams to clearly communicate issues and drive resolution

  • Validate fixes and perform regression testing on new builds and updates

  • Improve QA processes, test procedures, and operational checklists

  • Support ongoing system validation and provide real-time feedback on performance

What You Bring:
  • Bachelors Degree in Computer Science or other relevant field

  • 2+ years of experience in QA, robotics testing, or hands-on technical roles
    (open to strong entry-level candidates with relevant experience or projects)

  • Comfort working with physical systems (robots, vehicles, or machinery)

  • Strong attention to detail and observational skills

  • Ability to clearly document issues and communicate findings

  • Basic troubleshooting skills with the ability to isolate and describe issues

  • Willingness to be hands-on and physically engaged during testing

  • Reliable, methodical, and safety-conscious

What Sets You Apart:

  • Experience with robotics, autonomous systems, or electromechanical systems

  • Familiarity with logging tools or bug tracking systems (e.g., Jira)

  • Basic scripting (Python, Bash) for test support or data collection

  • Understanding of sensor systems (cameras, LiDAR, GPS, etc.)

  • Experience with structured test plans, QA processes, or validation workflows

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.