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Gt Jobs (NOW HIRING)

Nvidia

Principal Software Engineer - GT Data

Santa Clara, CA · On-site

$158K - $212K/yr

Serving as a key technical hub for GT in the US, you will work across hardware, system, infrastructure, MLE and operations teams to resolve the upstream blockers that affect GT production. The role ...

GT Independence

Registered Nurse

Raleigh, NC · On-site

GT Independence has earned multiple awards for being an exceptional workplace, including being named a 2026 National "Best and Brightest Companies to Work For." We are also proudly certified as a ...

GT Independence

Call Center Specialist I

Salem, OR · On-site

$16.75 - $21/hr

At GT Independence, people are at the heart of everything we do. If you thrive in a collaborative environment, love what you do, and are eager to grow, you're in the right place. Discover a career ...

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How much do gt jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for gt in the United States is $31.85, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $35.58 per hour, depending on experience, location, and employer.

What are some common challenges faced by gt professionals, and how can they be addressed in a fast-paced work environment?

GT professionals often manage complex regulations, tight deadlines, and shifting international trade policies. One common challenge is staying updated on compliance requirements across different countries, which requires continuous learning and attention to detail. Collaboration with legal, logistics, and finance teams is key to navigating these challenges smoothly. Effective communication, strong organizational skills, and leveraging technology can help GT professionals stay ahead and ensure seamless trade operations.

What is the difference between Gt vs Data Analyst?

AspectGtData Analyst
Required CredentialsTypically a high school diploma or equivalent; some roles may require certificationsBachelor's degree in statistics, mathematics, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentOffice settings, data centers, or remote workOffice-based, often in corporate or consulting environments
Industry UsageUsed in manufacturing, logistics, or technical fieldsCommon in finance, marketing, healthcare, and tech industries
Common Search/ComparisonPeople compare Gt with Data Analyst to understand roles and career paths

The Gt role often involves technical or operational tasks with less emphasis on data analysis, whereas Data Analysts focus on interpreting data to inform business decisions. While both roles may work in similar environments, Data Analysts typically require more specialized education and certifications. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What is a gt?

GTs, or Graduate Trainees, are individuals who have recently completed their education and are participating in structured programs within organizations to gain practical experience and training in their chosen field. These programs are designed to help graduates transition smoothly into professional roles by offering mentorship, job rotations, and skills development. GTs typically work under the guidance of experienced staff and may be assessed for permanent positions upon successful completion of the program.

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

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Gt jobs near you
Infographic showing various Gt job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $66,243 per year, or $31.8 per hour.

Principal Software Engineer - GT Data

Nvidia

Santa Clara, CA • On-site

$158K - $212K/yr

Full-time

Re-posted 13 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

We are looking for a Principal Engineer to drive upstream technical readiness for NVIDIA's ground truth (GT) data generation stack. This role emphasizes supporting detailed technical execution during US hours while working in close partnership with our core GT teams in China. You will function as a strong technical connection between US and China, ensuring clear communication and timely closure of upstream issues that directly impact GT quality, scalability, and delivery.

Serving as a key technical hub for GT in the US, you will work across hardware, system, infrastructure, MLE and operations teams to resolve the upstream blockers that affect GT production. The role is crucial for enabling high-quality GT generation for current and next-generation sensor configurations, and for ensuring that data can be produced accurately, reliably, and on time.

What you'll be doing:

  • Drive technical readiness for GT generation across key programs, especially for new sensor configurations and new data platforms.

  • Lead investigation and resolution of upstream GT blockers, including but not limited to: cross-sensor time synchronization issues, multi-sensor calibration issues, new sensor set adaptation for GT tooling and pipelines, reconstruction and pose quality issues that impact GT generation, etc.

  • Work closely with the GT team in China through daily syncs, technical reviews, and issue triage. Maintain unified status views of upstream technical blockers, readiness risks, and mitigation plans, and share them regularly with leadership across both regions.

  • Collaborate with hardware, system, MLE, map, and infrastructure teams to ensure new sensor platforms and data pipelines are production-ready for GT generation.

  • Help define technical requirements, validation criteria, and bring-up processes for future GT data generation systems, especially for L2++, L3/L4.

What we need to see:

  • Bachelor's degree or equivalent experience in Computer Science, Electrical Engineering, Robotics, Computer Engineering, or a related technical field.

  • 15+ years of software engineering, systems engineering, data infrastructure, sensor integration, robotics, autonomous driving, or related technical experience.

  • Strong experience in debugging and resolving complex cross-functional technical issues in data, sensor, or ML systems.

  • Strong understanding of sensor systems and data pipelines, especially topics such as timestamps, synchronization, calibration, data integrity, and system bring-up.

  • Ability to work effectively across time zones and manage technical communication between geographically distributed teams.

Ways to stand out from the crowd:

  • Ability to communicate in both English and Chinese (Mandarin) in a professional context.

  • Experience with multi-sensor systems such as cameras, LiDAR, radar, and related calibration/synchronization workflows.

  • Experience with GT generation, data ingestion pipelines, sensor bring-up, or large-scale data tooling.

  • Demonstrated ability to use AI assistants, or AI agents to improve engineering efficiency, automate pipeline work, and scale technical problem solving.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 3, 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

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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

Year founded

1993

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