NVIDIA
PrincipalSoftwareEngineer–GTData
Neural analysis suggests this role is
optimal for Principal candidates.
“Principal Software Engineer – GT Data at NVIDIA. Skills: technical readiness for GT generation, investigation and resolution of upstream GT blockers, cross-sensor time synchronization issues, multi-sensor calibration issues, new sensor set adaptation for GT tooling and pipelines, reconstruction and pose quality issues, technical communication between geographically distributed teams, define technical requirements, validation criteria, and bring-up processes for future GT data generation systems.”
What You'll Achieve.
ensuring clear communication and timely closure of upstream issues that directly impact GT quality, scalability, and delivery.; 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.; improve engineering efficiency, automate pipeline work, and scale technical problem solving.
Industry & Context.
debugging and resolving complex cross-functional technical issues; technical problem solving
What They're Looking For.
Must Have
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., experience in debugging and resolving complex cross-functional technical issues in data, sensor, or ML systems., 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.
Nice to Have
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.
What You'll Do.
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
Collaborate with hardware
and infrastructure teams to ensure new sensor platforms and data pipelines are production-ready for GT generation.
Help define technical requirements
and bring-up processes for future GT data generation systems
How You'll Work.
Team & Collaboration
working in close partnership with our core GT teams in China.; function as a technical connection between US and China, ensuring clear communication and timely closure of upstream issues that directly impact GT quality, scalability, and delivery.; work across hardware, system, infrastructure, MLE and operations teams to resolve the upstream blockers that affect GT production.; Work closely with the GT team in China through daily syncs, technical reviews, and issue triage.; Collaborate with hardware, system, MLE, map, and infrastructure teams to ensure new sensor platforms and data pipelines are production-ready for GT generation.
Communication Scope
clear communication; technical communication between geographically distributed teams; Ability to communicate in both English and Chinese (Mandarin) in a professional context.
Process & Methodology
Maintain unified status views of upstream technical blockers, readiness risks, and mitigation plans, and share them regularly with leadership across both regions.
Full 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, R
Applying for this Principal Software Engineer – GT Data role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.