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Quantum Signal Ai Jobs (NOW HIRING)

IBM

NY · On-site

$160 - $220/hr

Successful applicants will have demonstrated experience in RF, analog, and/or mixed-signal circuit ... AI, and Quantum, all integrated through the hybrid cloud. YOUR LIFE @ IBM In a world where ...

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$25K

$73.8K

$133K

How much do quantum signal ai jobs pay per year?

As of Aug 22, 2026, the average yearly pay for quantum signal ai in the United States is $73,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $90,000.00 per year, depending on experience, location, and employer.

What is the difference between Quantum Signal Ai vs Quantum Engineer?

AspectQuantum Signal AiQuantum Engineer
Required CredentialsTypically requires a master's or Ph.D. in physics, electrical engineering, or related fieldsUsually requires a bachelor's or master's in physics, electrical engineering, or computer science
Work EnvironmentResearch labs, tech companies, and startups focusing on quantum computing and AI integrationResearch institutions, tech companies, and industry R&D departments working on quantum hardware and algorithms
Industry UsageApplied in AI-driven quantum solutions, software development, and algorithm optimizationDesigning, developing, and testing quantum hardware and systems

Quantum Signal Ai professionals focus on applying AI techniques to quantum computing problems, often working on software and algorithms. Quantum Engineers design and develop quantum hardware and systems. While both roles require advanced degrees in related fields, their work environments and primary focus differ, with Quantum Signal Ai emphasizing software and AI integration, and Quantum Engineers concentrating on hardware development.

What cities are hiring for Quantum Signal Ai jobs?

Cities with the most Quantum Signal Ai job openings:

What states have the most Quantum Signal Ai jobs?

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Quantum Signal Ai jobs near you
Infographic showing various Quantum Signal Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $73,848 per year, or $35.5 per hour.

Senior Software Engineer, Quantum Applied Research

Nvidia

Redmond, WA • Hybrid

$137K - $180K/yr

Full-time

Re-posted 22 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 246 rated software companies

Job description

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms.

At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you!

What you'll be doing:

  • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows.

  • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems.

  • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models.

  • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments.

  • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems.

What we need to see:

  • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience).

  • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems.

  • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts.

  • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms).

  • Strong software engineering practices across testing, CI/CD, observability, and performance optimization.

Ways to stand out from the crowd:

  • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments.

  • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale.

  • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation.

  • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling.

  • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads.

#LI-Hybrid

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 benefits.

Applications for this job will be accepted at least until August 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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