Senior Engineer, Quantum Algorithms

QCi; Hoboken (NJ); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading quantum technology firm is seeking a Software Engineer specializing in Quantum Algorithms in Hoboken, NJ. This role requires deep expertise in mathematical optimization to architect core software for photonic quantum processors. The ideal candidate will have over 6 years of experience in software engineering, strong proficiency in C++ and Python, and a solid background in optimization methods. Join us to work on cutting-edge technology with collaborative teams across hardware and software interfaces.

Qualifications

• 6+ years of experience in software engineering with a focus on systems or HPC.
• Strong proficiency in C++ and Python.
• 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.
• Familiarity with protocols such as UART, SPI, gRPC, REST.
• Strong understanding of performance tuning, memory management, and fault-tolerant design.
• Familiarity with Linux system programming and build toolchains.

Responsibilities

• Design and implement high-performance C++ runtime and Hardware Abstraction Layer for photonic optimization computers.
• Profile and optimize execution paths to minimize latency.
• Collaborate with FPGA, electrical engineers and firmware engineers.
• Develop algorithmic enhancements using quantum feedback.
• Write efficient, thread-safe code for concurrent hardware control.
• Design and implement novel algorithms for optimization on photonic quantum processors.
• Build software layers for large-scale optimization problems.

Skills

C++

High Performance Computing (HPC)

Algorithm Design

Mathematical Optimization

Multi-threading

Linux

CMake

Python

Performance Profiling

Hardware Abstraction

Signal Processing

Education

Advanced degree (MS/PhD) in computer science, physics, or mathematics

Tools

BLAS

LAPACK

Eigen

Docker

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 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 the creation, testing, and optimization of 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.

Required Qualifications

• 6+ years of experience in software engineering with a focus on systems or HPC.
• Strong proficiency in C++ and Python.
• 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++, High Performance Computing (HPC), Algorithm Design, Mathematical Optimization, Multi-threading, Linux, CMake, Python, Performance Profiling, Hardware Abstraction, Signal Processing.