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Freelance High Performance Computing Engineer Jobs in Boston, MA

Accenture

Full Stack Engineer Manager

Boston, MA · On-site

$94K - $293K/yr

... engineering skills, artificial intelligence (AI), machine learning (ML), and data analytics that ... high-performance computing environments. Nextira joined the Accenture AWS Business Group and our ...

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Watershed Informatics

Site Reliability Engineer

Cambridge, MA · On-site

$62.25 - $82.75/hr

Role Linux Systems 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 ...

Watershed Informatics

Site Reliability Engineer

Cambridge, MA · On-site

$62.25 - $82.75/hr

Role Linux Systems 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 ...

QUANTUM COMPUTING, INC.

EHS Engineer

Bedford, MA

$94K - $123K/yr

EHS Engineer Location: Bedford, MA (with travel to NJ and Wilmington, MA locations). Department ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

Winaxis

Cloud Infrastructure/AI/ML Engineer

Boston, MA · On-site

$116K - $153K/yr

Cloud Infrastructure/AI/ML Engineer (Contract, 12+ months, Hybrid) - Location : Waltham, MA (Hybrid ... in HPC (High Performance Computing), AWS, DNAnexus, AWS Sagemaker AI - Experience with cloud ...

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All JobsHigh Performance Computing Engineer JobsFreelance High Performance Computing Engineer JobsFreelance High Performance Computing Engineer Jobs in Boston, MA

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 20, 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:
Freelance High Performance Computing Engineer jobs near you
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.
Manufacturing Engineer-Photonics

Manufacturing Engineer-Photonics

Quantum Computing Inc.

Bedford, MA • On-site

$76K - $98K/yr

Full-time

Re-posted 26 days ago

Job description

Job Title
Manufacturing Engineer
Job Description
Location: Bedford, MA
Division: Photonics
Department: EM4
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:
As the Manufacturing Engineer - Automation & Fiber Alignment, you will be responsible for developing, sustaining, and continuously improving the automated and semi-automated manufacturing systems that enable production of our advanced laser products. This is a hands-on role at the heart of production, driving yield, throughput, and process stability.
You will collaborate closely with Manufacturing, Process Engineering, Quality, and R&D to transition robust processes from development into volume manufacturing and support them throughout the product lifecycle. You will play a key role in scaling precision photonics assembly processes-particularly in fiber alignment and attach-and ensuring they remain reliable, controlled, and manufacturable at scale.
Duties and Responsibilities:
Automation Ownership
  • Design, develop, and sustain automated and semi-automated equipment for laser assembly, including motion systems, machine vision, metrology, dispense/weld tools, and UV/thermal cure platforms.
  • Specify and integrate precision automation components such as stages, controllers (PLC/industrial PC), sensors, interlocks, and data-acquisition systems.
  • Create and maintain equipment requirements, acceptance criteria, and run-at-rate plans; lead factory acceptance and production release.
  • Define preventive maintenance plans, calibration strategies, spares lists, and overall equipment lifecycle management.
  • Drive equipment reliability improvements using uptime metrics, structured root-cause analysis, and corrective actions.
  • Perform CAD/mechanical design for fixtures, tooling, and assembly/test stations.

Fiber Alignment & Fiber Attach Process Engineering
  • Own the full fiber alignment and attach process-from active alignment through attach (epoxy or laser weld), cure, and post-cure verification.
  • Develop and control process windows for critical parameters such as alignment algorithms, coupling optimization, welding conditions, adhesive selection, cure profiles, thermal management, and mechanical fixturing.
  • Define and execute DOE-based process characterization for coupling efficiency, back-reflection, power stability, and long-term reliability.
  • Establish in-line controls and acceptance tests, including insertion/return loss, power stability, pull/shear strength, and visual/AI-based inspection.
  • Write and maintain work instructions, process specs, travelers, and training documents to ensure consistent execution across operators and shifts.

Yield, Quality, and Scale
  • Lead structured problem solving for yield loss and defects using 8D, DMAIC, fishbone, Pareto, and statistical methods.
  • Implement SPC, control plans, MSA/Gage R&R, and traceability systems for critical-to-quality characteristics.
  • Partner with Quality on nonconformance disposition, CAPAs, and audit readiness.
  • Support NPI activities: process transfer from R&D, DFM/DFS feedback, pilot builds, and ramp into stable production.

Data Systems & Documentation
  • Build data pipelines from equipment into MES/SPC systems; define dashboards, alarms, and drift-detection criteria.
  • Maintain complete technical documentation, including PFMEA, process flows, control plans, equipment manuals, and validation reports.
  • Required Skills and Experience:
  • Bachelor's degree in Mechanical, Manufacturing, Electrical, Mechatronics, or related engineering field (MS/PhD a plus).
  • 5+ years of manufacturing engineering experience in precision assembly; photonics/laser experience strongly preferred.
  • Demonstrated experience developing or supporting automation equipment in a production environment.
  • Proven ability to improve critical processes using DOE, SPC, and root-cause methodologies.
  • Comfortable in a hands-on manufacturing environment, including troubleshooting, fixture tuning, and rapid iteration.
  • Proficiency in SolidWorks.
    Required Skills and Experience
  • Bachelor's degree in Mechanical, Manufacturing, Electrical, Mechatronics, or related engineering field (MS/PhD a plus).
  • 5+ years of manufacturing engineering experience in precision assembly; photonics/laser experience strongly preferred.
  • Demonstrated experience developing or supporting automation equipment in a production environment.
  • Proven ability to improve critical processes using DOE, SPC, and root-cause methodologies.
  • Comfortable in a hands-on manufacturing environment, including troubleshooting, fixture tuning, and rapid iteration.
  • Proficiency in SolidWorks.
    Preferred Qualifications
  • Experience with active fiber alignment (power maximization, 5-6 DOF, machine-vision-assisted strategies).
  • Familiarity with laser welding and adhesive/epoxy attach processes including UV/thermal cure and contamination control.
  • Background in motion control: precision stages, encoders, PID tuning, error budgeting, vibration/thermal effects.
  • Programming/scripting skills in Python, LabVIEW, C#/C++, or similar; PLC/HMI exposure a plus.
  • Knowledge of optical metrology and inspection tools (power meters, photodiodes, interferometry, microscopes, vision systems).
  • Experience with ESD, clean handling, and contamination control in photonics assembly.
  • Familiarity with ISO 9001/AS9100 environments.

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