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Freelance High Performance Computing Engineer Jobs in Boston, MA

Infrastructure Engineer

Cambridge, MA · On-site

$117K - $154K/yr

Role Infrastructure Engineers at Watershed engineer infrastructure to meet the high-performance computing needs of modern biology. Designing systems that keep pace with the explosive growth in the ...

Infrastructure Engineer

Cambridge, MA · On-site

$117K - $154K/yr

Role Infrastructure Engineers at Watershed engineer infrastructure to meet the high-performance computing needs of modern biology. Designing systems that keep pace with the explosive growth in the ...

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Freelance High Performance Computing Engineer information

See Boston, MA salary details

$58.1K

$142.7K

$210.2K

How much do freelance high performance computing engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for freelance high performance computing engineer in Boston, MA is $142,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $160,200.00 per year, depending on experience, location, and employer.

How do freelance High Performance Computing (HPC) 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, and why are they important?

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 Boston, MA? The most popular types of High Performance Computing Engineer jobs in Boston, MA are:
What are popular job titles related to Freelance High Performance Computing Engineer jobs in Boston, MA? For Freelance High Performance Computing Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Freelance High Performance Computing Engineer jobs in Boston, MA look for? The top searched job categories for Freelance High Performance Computing Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Freelance High Performance Computing Engineer jobs? Cities near Boston, MA with the most Freelance High Performance Computing Engineer job openings:
Infographic showing various Freelance High Performance Computing Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 2% Locum Tenens, 83% Full Time, 14% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,697 per year, or $68.6 per hour.
Semiconductor Process Engineer

Semiconductor Process Engineer

QUANTUM COMPUTING, INC.

Wilmington, MA • On-site

$108K - $185K/yr

Full-time

Posted 17 days ago


Job description

Job Title: Semiconductor Process Engineer

Location: Wilmington, MA

Division: Photonics

Department: OptoGration, Inc.


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

The successful applicant will be part of a team that produces world-class sensors based on photodetectors, diode lasers, and other wafer-based optoelectronic devices for various applications including optical communications, remote sensing (e.g., lidar and laser rangefinding), quantum sensing, high-performance imaging, and photonic integrated circuits. Working collaboratively with the rest of our in-house wafer fabrication team, the Semiconductor Process Engineer will oversee the development and production of state-of-the-art III-V avalanche photodetectors, laser diodes, and other optoelectronic devices. This individual will develop and optimize new device fabrication processes, guide process technicians to successfully complete these fabrication process, improve processing procedures, and identify processing issues. This engineer will also be responsible for the operation of all equipment used during fabrication processes that support both new product development and product manufacturing.

Duties and Responsibilities

  • Develop new fabrication processes and define new process flows.
  • Continuously improve existing fabrication processes and process flows.
  • Work with device designers to fabricate and optimize new photonic devices.
  • Develop thin film deposition procedures required for new device structures.
  • Develop thin film wet etching, RIE, and DRIE as required for device development.
  • Perform photolithography mask CAD design and layout.
  • Develop wafer diffusion processes for III-V semiconductors.
  • Implement, document, and maintain process run sheets and work instructions.
  • Analyze correlations between process attributes (e.g., metrology data, process conditions, process variation) and device performance (e.g., functional test results).
  • Track process variation and drive continuous improvement initiatives.
  • Review new device specifications and analyze requirements against existing capabilities to estimate costs and yields for new and existing products.
  • Support the fabrication facility in obtaining and maintaining industry-standard certifications.

Required Skills and Experience

  • MS or BS in Electrical Engineering, Materials Science or a related discipline
  • 4+ years of hands-on experience with compound semiconductor device fabrication
  • Significant experience with semiconductor process technology and understanding of semiconductor device physics.
  • Must be able to work independently with minimal supervision.
  • Strong organizational, analytical, and problem-solving skills.
  • Ability to perform critical clean room processing techniques.
  • Excellent dexterity for handling semiconductor wafers.
  • Comfortable and focused on safety while handling clean room chemicals.
  • Proficiency with DOE and SPC concepts.
  • Ability to document work and accurately update written procedures.
  • Excellent communications skills, both written and oral.

Preferred Qualifications

  • PhD in Electrical Engineering, Materials Science, or a related discipline
  • Strong working knowledge of semiconductor photodetectors, laser diodes, and optoelectronic device fabrication.
  • Experienced with electrical and electro-optical testing, semiconductor device metrology, and data analysis tools.
  • Comprehensive understanding of DOE and SPC concepts.

Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.