This role pays more than
88%
of similar roles. Most pay
$166,916–$221,250
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$194k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior Engineer - Quantum Error Correction Libraries, you will join an engineering team focused on developing, scaling, and optimizing software to accelerate quantum computing and quantum system simulations. You will develop innovative algorithms to accelerate the simulation of quantum error correction workloads at scale while researching and optimizing GPU-accelerated algorithms across multiple hardware generations. The role requires converting mathematical or research-level algorithms into robust, reusable software primitives. Key technical requirements include expert knowledge of stabilizer formalism, Pauli-frame propagation, and noise models, alongside proficiency in modern C++, Python, and CUDA for performance-critical software. You will work with tools like the cuQuantum SDK and potentially Stim or Qiskit Aer. The role addresses the specific challenge of accelerating quantum error correction research through high-performance computing and GPU acceleration within the broader quantum software ecosystem.
What does a Engineer earn in California?
Median $208000 from 94 postings across 22 companies.