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How much do full time quantum software engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for full time quantum software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Quantum Software Engineer, and why are they important?

To thrive as a Full Time Quantum Software Engineer, you need a strong background in quantum mechanics, computer science, and mathematics, often supported by a related degree or equivalent experience. Familiarity with quantum programming languages (such as Qiskit or Cirq), classical programming (Python, C++), and experience using quantum computing platforms are essential. Excellent problem-solving, collaboration, and adaptability help you navigate complex, evolving challenges in the field. These skills and qualities enable you to design efficient quantum algorithms and contribute to the advancement of quantum technologies.

What are some common challenges faced by Full Time Quantum Software Engineers, and how are they typically addressed within a team setting?

Full Time Quantum Software Engineers often encounter challenges related to the nascent and rapidly evolving nature of quantum computing, such as limited available libraries, hardware constraints, and debugging in quantum environments. Collaboration with physicists, researchers, and classical software engineers is essential to overcome these hurdles. Teams usually address these challenges by fostering a culture of knowledge sharing, conducting regular code reviews, and leveraging open-source quantum frameworks. Additionally, ongoing professional development and staying updated with the latest research help engineers adapt to new tools and methods in this cutting-edge field.

What is a Full Time Quantum Software Engineer?

A Full Time Quantum Software Engineer is a professional who develops, tests, and optimizes software for quantum computers. They work with quantum programming languages, such as Qiskit or Cirq, to create algorithms that leverage quantum mechanics for solving complex problems. These engineers often collaborate with researchers and hardware teams to improve quantum system performance, and may also work on integrating quantum solutions with classical computing systems. The role requires strong programming skills, a foundation in quantum mechanics, and experience with quantum computing platforms.
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Full Time Quantum Software Engineer jobs near you
Senior Engineer, Quantum Algorithms

Senior Engineer, Quantum Algorithms

Quantum Computing Inc.

Hoboken, NJ • On-site

Full-time

Posted 23 days ago

Job description

Job Description Software Engineer, Quantum Algorithms (Optimization)
Location: Hoboken, NJ
Division: Technology
Department: Engineering
About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.
Position Description: We are looking for a Software Engineer with deep expertise in Mathematical Optimization and quantum algorithm development. This role is critical in architecting the core software engine that drives our proprietary photonic quantum processors, combining complex mathematical formulations with physical optical hardware feedback.
Responsibilities
  • Design and implement the high-performance C++ runtime and Hardware Abstraction Layer (HAL) for photonic optimization computers.
  • Profile and optimize critical execution paths to minimize latency, addressing bottlenecks in memory bandwidth, cache locality, and data transfer.
  • Collaborate with FPGA, Electrical engineers and Firmware engineers to ensure to create, test, and optimize device interfaces.
  • Develop algorithmic enhancements to usage of quantum feedback to solve NP hard optimization problems more efficiently with higher solution quality.
  • Write efficient, thread-safe code for concurrent hardware control and real-time signal processing.
  • Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines.
  • Build software layers to decompose and orchestrate large-scale optimization problems across multiple photonic hardware resources.
  • Contribute to quantum algorithms on the company roadmap

Required Qualifications
  • 6+ years of experience in software engineering with a focus on systems or HPC.
  • Strong proficiency in C++ and Python
  • Experience with quantum algorithms, quantum information, or quantum optics.
  • Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer Linear Programming (MILP), or Gradient-Free Methods.
  • Experience with Numerical Analysis and high-performance math libraries (e.g., BLAS, LAPACK, Eigen).
  • Familiarity with protocols (e.g., UART, SPI, gRPC, REST) and software integration.
  • Strong understanding of performance tuning, memory management, and fault-tolerant design.
  • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang).
  • Experience working in cross-functional teams involving hardware, physics, and software.

Preferred Qualifications
  • Advanced degree (MS/PhD) in Computer Science, Physics, or Mathematics.
  • Experience with classical optimization solvers (e.g., CPLEX, Gurobi) or heuristic frameworks.
  • Familiarity with Open Quantum Systems or optical feedback mechanisms.
  • Background in Digital Signal Processing (DSP) or control theory.
  • Knowledge of containerized deployment using Docker.

Skills C++, Quantum Algorithms, High Performance Computing (HPC), Algorithm Design, Mathematical Optimization,, Multi-threading, Linux, CMake, Python, Performance Profiling, Hardware Abstraction, Signal Processing

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