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Quantum Algorithm Jobs in Queens, NY (NOW HIRING)

QCi

Senior Engineer, Quantum Algorithms

Hoboken, NJ · On-site

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 ...

QCi

Postdoctoral Researcher in Quantum Optics

Hoboken, NJ · On-site

$126K/yr

... algorithm-hardware co-design by identifying opportunities where photonic implementations provide competitive advantages. - Explore and develop quantum algorithms compatible with entropy computing in ...

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How much do quantum algorithm jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for quantum algorithm in Queens, NY is $81.90, according to ZipRecruiter salary data. Most workers in this role earn between $69.71 and $92.79 per hour, depending on experience, location, and employer.

How to become a quantum algorithm engineer?

To become a quantum algorithm engineer, one typically needs a strong background in quantum computing, computer science, or physics, often demonstrated through a master's or doctoral degree. Proficiency in programming languages such as Python and familiarity with quantum programming frameworks like Qiskit or Cirq are essential, along with knowledge of quantum algorithms and linear algebra. Gaining experience through research, internships, or contributing to open-source quantum projects can also be valuable.

What is a quantum algorithm?

Quantum algorithms are specialized sets of instructions designed to run on quantum computers, utilizing the principles of quantum mechanics such as superposition and entanglement. Unlike classical algorithms, quantum algorithms can solve certain problems much faster, such as factoring large numbers or searching databases. Notable examples include Shor's algorithm for integer factorization and Grover's algorithm for unsorted database search. As quantum computers develop, quantum algorithms are expected to revolutionize fields like cryptography, optimization, and materials science.

What are the typical collaboration opportunities for professionals working in quantum algorithm development?

Professionals in quantum algorithm development often work closely with quantum hardware engineers, classical algorithm designers, and domain experts in fields like cryptography or chemistry. Collaboration is essential, as quantum algorithm development requires aligning theoretical insights with the practical constraints of current quantum devices. Team members frequently participate in interdisciplinary meetings and code reviews, ensuring that algorithms are both innovative and implementable. This collaborative environment fosters learning and can open pathways to roles in research, technical leadership, or product management within quantum computing.

What are the key skills and qualifications needed to thrive as a quantum algorithm developer, and why are they important?

To thrive as a Quantum Algorithm Developer, you need a strong background in quantum mechanics, computer science, and mathematics, often supported by advanced degrees in physics, computer science, or a related field. Familiarity with quantum programming languages (like Qiskit or Cirq), quantum computing platforms, and knowledge of classical and quantum algorithms are essential. Creative problem-solving, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills. These skills enable the development of effective quantum solutions and collaboration with interdisciplinary teams in a rapidly evolving technological landscape.
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Quantum Algorithm jobs near you

Senior Engineer, Quantum Algorithms

Quantum Computing Inc.

Hoboken, NJ • On-site

Full-time

Re-posted 4 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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