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Quantum Computing Manager Jobs in New York (NOW HIRING)

FPGA Design Engineer

Hoboken, NJ · On-site

$134K - $185K/yr

FPGA Engineering Manager About Us: Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world ...

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Quantum Computing Manager information

Is quantum computing a high paying job?

Quantum computing managers typically earn high salaries due to the specialized skills and advanced knowledge required in the field, including expertise in quantum algorithms, hardware, and programming languages like Qiskit or Cirq. Compensation varies based on experience, education, and industry, but roles in this area are generally well-paid compared to many other technology positions.

What are the most commonly searched types of Quantum Computing jobs in New York?

The most popular types of Quantum Computing jobs in New York are:

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For Quantum Computing Manager jobs in New York, the most frequently searched job titles are:

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The top searched job categories for Quantum Computing Manager jobs in New York are:

What cities in New York are hiring for Quantum Computing Manager jobs?

Cities in New York with the most Quantum Computing Manager job openings:

Infographic showing various Quantum Computing Manager job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Senior Quantum Computing Libraries Engineer

NVIDIA Corporation

Manhattan, NY • On-site

$184 - $287.50/hr

Other

Posted 15 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 245 rated software companies


Job description

Senior Quantum Computing Libraries Engineer page is loaded## Senior Quantum Computing Libraries Engineerlocations: US, CA, Santa Clara: US, NY, New Yorktime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2012496NVIDIA's accelerated computing platform has revolutionized HPC and AI, and we have built the cuQuantum SDK to enable researchers and framework developers in the area of Quantum Computing. This role will be part of an engineering team developing, scaling, and optimizing software to accelerate and scale quantum computing and quantum system simulations. Ideal candidates will have experience building software systems and curiosity about advancing the state-of-the-art in applications of HPC and GPUs to the quantum computing ecosystem. If you are passionate about designing and developing high-performance software and want to help us build libraries to significantly accelerate research and development in this exciting field, we would love to hear from you!## **What you'll be doing:*** Researching and developing and optimizing GPU accelerated algorithms across multiple hardware generations* Develop innovative HPC algorithms to scale quantum circuit simulations* Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learning* Interacting with external partners and researchers to understand their use cases and requirements* Providing technical leadership and guidance to other engineers* Analyzing the performance of GPU, CPU, multi-GPU/multi-node implementations, finding opportunities for algorithmic or implementation-based improvements## **What we need to see:*** Excellent C++ and Python programming and software design skills, including functional and performance test design* Experience programming for GPUs, in a multi-threading and multi-node MPI programming model, and expertise in hardware-aware optimization* Experience with agentic coding tools* Demonstrated ability developing scientific software used in quantum simulations (e.g., circuit simulators, compilers, hybrid-computing)* PhD or MSc degree in Computer Science, Applied Math, Physics, or related science or engineering field (or equivalent experience)* 8+ years of experience* Strong collaboration, communication, and documentation skills## **Ways to stand out from the crowd:*** Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch)* Proven experience with HPC technologies and communication algorithms* Expertise in numerical methods, Hamiltonian integrals, quantum simulation techniques* Experience working in an agile software development environment within a globally distributed organizationWith competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and .Applications for this job will be accepted at least until April 27, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse 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. #J-18808-Ljbffr

What Nvidia employees say

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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