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Freelance High Performance Computing Engineer Jobs in New Jersey

QCi

Senior Engineer, Quantum Algorithms

Hoboken, NJ · On-site

Engineering About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

QCi

Engineering About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

QCi

Technical Account Manager

Hoboken, NJ · On-site

You will work closely with engineering, product, and commercial teams to help customers understand ... Monitor industry trends across photonics, high-performance computing, and optimization technologies.

Quantum Computing Inc.

FPGA Design Engineer

Hoboken, NJ · On-site

$134K - $185K/yr

Engineering Reports to: FPGA Engineering Manager About Us: Quantum Computing Inc. (QCi) (Nasdaq ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

Quantum Computing Inc.

Test Engineer

Hoboken, NJ · On-site

Test Engineer About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

Nvidia

HPC Middleware Developer

Holmdel, NJ · On-site

We are now looking for a senior HPC software engineer. As a member of our the High Performance Computing Software development team, you will be responsible for designing and implementing new ...

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Freelance High Performance Computing Engineer information

How do freelance high performance computing engineers typically collaborate with client teams during projects?

Freelance HPC Engineers often work closely with client engineering, research, or IT teams to design, implement, and optimize computational solutions. Collaboration usually occurs through regular virtual meetings, code reviews, and progress updates to ensure alignment with project goals and technical requirements. Clear communication and documentation are essential, as freelancers may need to integrate their work into larger systems or hand off projects to in-house teams. Building strong relationships and understanding the client's workflow help ensure successful project delivery and can lead to ongoing opportunities.

What is a freelance high performance computing engineer?

A Freelance High Performance Computing (HPC) Engineer is a professional who specializes in designing, implementing, and optimizing computing systems that handle complex, large-scale computations. They work independently or on a contract basis for different organizations, helping to develop and maintain supercomputers, clusters, and parallel processing applications. Their expertise is often sought in fields like scientific research, finance, artificial intelligence, and engineering where processing large datasets quickly is essential. Freelancers in this field typically possess strong programming skills, knowledge of HPC architectures, and experience with performance tuning and troubleshooting.

What are the key skills and qualifications needed to thrive as a freelance high performance computing engineer?

To thrive as a Freelance High Performance Computing Engineer, you need expertise in parallel programming, cluster management, and a strong background in computer science or engineering. Familiarity with tools such as MPI, OpenMP, Linux environments, and cloud-based HPC platforms, along with certifications in cloud services or HPC technologies, is highly beneficial. Excellent problem-solving, project management, and communication skills set top freelancers apart when working with diverse clients. These competencies ensure the delivery of optimized, scalable solutions and effective collaboration in complex technical projects.

What is the difference between Freelance High Performance Computing Engineer vs Freelance Data Scientist?

AspectFreelance High Performance Computing EngineerFreelance Data Scientist
CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of HPC systemsDegree in data science, statistics, or related fields; proficiency in programming and analytics
Work EnvironmentSpecialized computing clusters, research labs, or cloud HPC platformsData analysis environments, cloud platforms, and business analytics tools
Industry UsageResearch institutions, scientific computing, engineering simulations
Search & Comparison IntentFocus on high-performance computing tasks, technical skills

While both roles involve advanced technical skills, Freelance High Performance Computing Engineers specialize in optimizing and managing large-scale computing resources for scientific and engineering applications. Freelance Data Scientists focus on analyzing data to extract insights for business or research purposes. The key difference lies in their core focus: HPC engineers work with hardware and system performance, whereas data scientists work with data analysis and modeling.

What are the most commonly searched types of High Performance Computing Engineer jobs in New Jersey? The most popular types of High Performance Computing Engineer jobs in New Jersey are:
What are popular job titles related to Freelance High Performance Computing Engineer jobs in New Jersey? For Freelance High Performance Computing Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Freelance High Performance Computing Engineer jobs in New Jersey look for? The top searched job categories for Freelance High Performance Computing Engineer jobs in New Jersey are:
What cities in New Jersey are hiring for Freelance High Performance Computing Engineer jobs? Cities in New Jersey with the most Freelance High Performance Computing Engineer job openings:
Freelance High Performance Computing Engineer jobs near you

Senior Engineer, Quantum Algorithms

Quantum Computing Inc.

Hoboken, NJ • On-site

Full-time

Re-posted yesterday

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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