Hiring: Senior Engineer, Quantum Algorithms (Optimization) Company: Quantum Computing Inc. Location: Hoboken, NJ Job Posted Time: 2026-09-10 11:32:15 Employment Type: Remote Target Skills & Keywords : AI, C++, CMake, Docker, FPGA, Firmware, Linear, Linux, Python, REST, gRPC About the job Experience: •6+ years of experience in software engineering with a focus on systems or HPC. Required Skills: •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 •Partner cross-functionally 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 Qualifications: •Strong proficiency in C++ and Python •Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer Linear Programming (MILP), or Gradient-Free Methods. •Operational familiarity with protocols (e.g., UART, SPI, gRPC, REST) and software integration. •In-depth knowledge of performance tuning, memory management, and fault-tolerant design. •Operational familiarity with Linux system programming and build toolchains (CMake, GCC/Clang). •Advanced degree (MS/PhD) in Computer Science, Physics, or Mathematics. •Operational familiarity with Open Quantum Systems or optical feedback mechanisms. •Background in Digital Signal Processing (DSP) or control theory. •Knowledge of containerized deployment using Docker. Compensation: •$143,000 - $201,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!