Senior Quantum Computing Libraries Engineer

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA · New York, NY
Salary: $184,000–$287,500 / yr
Posted: 44 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k

This role $236k

$131k most similar roles pay here $304k

This role pays more than 92% of similar roles. Most pay $172,000–$216,987 — the shaded band above. At the midpoint, this role pays about $236k versus about $194k for comparable roles.

Based on 239 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · Senior Quantum Computing Libraries Engineer

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Join NVIDIA's engineering team as a senior software engineer focused on developing the cuQuantum SDK to accelerate and scale quantum computing and system simulations. You will research and optimize GPU-accelerated algorithms, collaborate with internal teams like Research and Product Management, and engage with external partners to understand their needs. Your daily tasks include analyzing performance across various hardware configurations and providing technical guidance to fellow engineers. Ideal candidates have extensive experience in C++ and Python programming, GPU optimization, and scientific software development for quantum simulations. A PhD or MSc in a relevant field and 8+ years of industry experience are required, along with expertise in HPC technologies, numerical methods, and agile development practices.

Skills

C++ Python GPU programming MPI HPC technologies Qiskit Cirq Pennylane TensorFlow PyTorch Numerical methods Hamiltonian integrals Quantum simulation techniques Agile methodologies

What you'll do

Research and develop GPU-accelerated algorithms for multiple hardware generations.
Create innovative HPC algorithms to scale quantum circuit simulations.
Provide technical leadership and guidance to other engineers on the team.
Analyze performance of GPU, CPU, multi-GPU/multi-node implementations for improvements.
Interact with external partners and researchers to understand their use cases.

What we're looking for

Excellent C++ and Python programming skills for developing high-performance scientific software.
Extensive experience in GPU programming and hardware-aware optimization across multiple hardware generations.
Demonstrated ability to develop and optimize algorithms for quantum circuit simulations using HPC technologies.
PhD or MSc in Computer Science, Applied Math, Physics, or related field with 8+ years of relevant experience.
Strong collaboration and communication skills, including working effectively in a globally distributed agile environment.
Experience with quantum computing frameworks (Qiskit, Cirq) and deep learning frameworks (TensorFlow, PyTorch).
Expertise in numerical methods and quantum simulation techniques for scientific software development.

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