- MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.
- 12+ years of professional software or algorithm engineering, including demonstrated technical ownership and architectural direction. Directly relevant PhD research may count toward this total; research alone cannot satisfy the domain and production-delivery requirements below.
- 8+ years in semiconductor manufacturing, including inspection, metrology, defect review, process control, yield engineering, or fab-data systems.
- Hands-on delivery of software that shipped in semiconductor equipment, operated in a fab, or was adopted by a manufacturing customer.
- 4+ years of hands-on deep learning, machine learning, computer vision, or applied AI, including work within the last 24 months.
- Strong Python skills and production experience with PyTorch or TensorFlow.
- A track record of taking ambiguous technical problems through architecture, implementation, evaluation, and validated results.
- Working GPU literacy, including the ability to reason about inference performance and evaluate hardware and software bottlenecks.
- Direct engagement with fabs, manufacturing teams, or equipment vendors on technical requirements.
- Strong analytical, communication, and cross-functional leadership skills.
Ways to stand out from the crowd
- Experience adapting large pretrained vision, multimodal, or world foundation models to specialized industrial domains.
- Background in anomaly detection and generation, time-series modeling, FDC, virtual metrology, or advanced-packaging inspection.
- Experience designing evaluation frameworks for sparse proprietary data and shifting production distributions.
- Expertise in synthetic data, self-supervised or few-shot learning, domain adaptation, model compression, and inference optimization using NVIDIA technologies.
- Experience building SDKs, platform capabilities, or agentic workflows adopted by external engineering teams.
With competitive salaries and a generous benefits package, NVIDIA is widely considered one of the technology industry’s most desirable employers. Our engineering teams are growing in some of the most consequential areas of manufacturing and semiconductor technology. If you are a hands-on Principal Systems Software Engineer who combines semiconductor expertise with architectural judgment and a drive to put advanced AI into production, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position 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 November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.