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Python Phd Hpc Jobs in New Jersey (NOW HIRING)

... HPC. * Strong proficiency in C++ and Python * Experience with quantum algorithms, quantum ... Advanced degree (MS/PhD) in Computer Science, Physics, or Mathematics. * Experience with classical ...

... HPC. * Strong proficiency in C++ and Python * Experience with quantum algorithms, quantum ... Advanced degree (MS/PhD) in Computer Science, Physics, or Mathematics. * Experience with classical ...

Computational Plasma Physicist

Kearny, NJ · On-site

$120K - $140K/yr

PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or master ... Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran ...

Computational Plasma Physicist

Kearny, NJ · On-site

$120K - $140K/yr

PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or master ... Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran ...

Scientific AI Programmer

Princeton, NJ · On-site +1

$40K - $80K/yr

PhD and 0 years related experience Required Qualifications: * A Bachelor's degree in Computer ... Proficient in Python Programming * Experience managing projects with Git * Strong interpersonal ...

Scientific AI Programmer

Princeton, NJ · On-site

$40K - $80K/yr

PhD and 0 years related experience Required Qualifications: * A Bachelor's degree in Computer ... Proficient in Python Programming * Experience managing projects with Git * Strong interpersonal ...

Python Phd Hpc information

What are the key skills and qualifications needed to thrive as a Python PhD HPC specialist, and why are they important?

To excel as a Python PhD HPC specialist, you need advanced knowledge of Python programming, parallel computing concepts, and a doctoral degree in a computationally intensive field. Familiarity with HPC clusters, job schedulers like SLURM, and libraries such as NumPy, SciPy, and MPI for Python is typically required. Strong analytical thinking, problem-solving, and collaboration skills set candidates apart in this role. These competencies ensure efficient development, optimization, and deployment of large-scale computational models that drive scientific research and innovation.

What are the typical challenges faced by a Python PhD HPC specialist when working on large-scale computational projects?

Professionals in a Python PhD HPC role often encounter challenges related to optimizing Python code for high-performance computing environments, particularly when scaling computations across multiple nodes or clusters. Managing memory usage, debugging parallel code, and ensuring compatibility with various HPC libraries and frameworks are common hurdles. Additionally, effective collaboration with interdisciplinary teams—such as domain scientists, system administrators, and data engineers—is crucial for project success. Staying updated with advancements in both Python and HPC technologies also requires ongoing learning and adaptability.

What is a Python PhD HPC specialist?

A Python PhD HPC specialist is a professional with a doctoral degree who uses the Python programming language to develop and optimize high-performance computing (HPC) applications. These specialists often work on complex scientific or engineering problems that require significant computational resources, such as simulations, data analysis, or machine learning at scale. They possess deep expertise in both Python programming and HPC environments, including parallel computing, distributed systems, and cluster management. Their work often bridges the gap between theoretical research and practical implementation on supercomputers or large compute clusters.
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Senior Engineer, Quantum Algorithms

QCi

On-site

Full-time

Re-posted 29 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

Employment Type: FULL_TIME