Quantum Algorithms Engineer

Quantum Algorithms Engineer

New York City Metropolitan Area

About the Role

We are seeking a Software Engineer with deep expertise in mathematical optimization and quantum algorithm development. This role focuses on building the core software stack that interfaces with advanced photonic and quantum-inspired computing hardware, combining rigorous mathematical methods with real-time system constraints and hardware feedback.

Position Description

We are looking for a Software Engineer with strong expertise in mathematical optimization and high-performance computing. This role is critical in architecting the core software engine that drives next-generation optimization and quantum-inspired computing systems, combining complex mathematical formulations with physical hardware feedback and real-time execution constraints.

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 create, test, and optimize device interfaces.

• Develop algorithmic enhancements to leverage quantum feedback for solving 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 or quantum-inspired processors, including post-processing pipelines.

• Build software layers to decompose and orchestrate large-scale optimization problems across multiple hardware resources.

• Contribute to quantum algorithms on the company roadmap.

Required Qualifications

• 4+ 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.