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Freelance High Performance Computing Engineer Jobs in Pennsylvania

The Pennsylvania State University

$92K - $152K/yr

POSITION SPECIFICS We are searching for a High-Performance Computing (HPC) system administrator to ... You will work with our team of scientists and engineers to develop and advance our nation's defense ...

Cornelis Networks

Mechanical Engineer

Wayne, PA · Hybrid

The mechanical engineer will be involved in all phases of mechanical architecture and hardware ... Experience with high-performance computing (HPC) or data center hardware environments.

Cornelis Networks

Mechanical Engineer

Wayne, PA · On-site

The mechanical engineer will be involved in all phases of mechanical architecture and hardware ... Experience with high-performance computing (HPC) or data center hardware environments.

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Freelance High Performance Computing Engineer information

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.

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 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 Pennsylvania?

The most popular types of High Performance Computing Engineer jobs in Pennsylvania are:

What are popular job titles related to Freelance High Performance Computing Engineer jobs in Pennsylvania?

For Freelance High Performance Computing Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Freelance High Performance Computing Engineer jobs in Pennsylvania look for?

The top searched job categories for Freelance High Performance Computing Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Freelance High Performance Computing Engineer jobs?

Cities in Pennsylvania with the most Freelance High Performance Computing Engineer job openings:

Freelance High Performance Computing Engineer jobs near you

Senior Research Scientist - Advanced Computing Lab

Software Engineering Institute

Pittsburgh, PA • On-site

$95K - $121K/yr

Full-time

Posted 11 days ago

Job description

The SEI AI Division
At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering challenges related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.
As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we
  • Build real-world, mission-scale AI capabilities through solving practical engineering problems

  • Discover and define the processes, practices, and tools to support operationalizing AI for human-centered, robust, secure, and scalable mission capabilities

  • Prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

  • Identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, and collaborative? Do you enjoy doing meaningful and complex work? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.
Position Summary: As a senior research scientist with proven expertise in advanced computing, you will identify, shape, apply, conduct, and lead research in support of critical U.S. government needs. The ideal candidate will have a strong background with hands-on experience in one or more of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC), distributed and scalable computing, compiler technology, and algorithm optimization. Additional expertise in applying AI/ML to electromagnetic spectrum operations is desired.
Duties
  • Lead novel research in advanced computing and applied machine learning.

  • Lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.

  • Conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments.

  • Test and evaluate new and novel systems for performance and usability.

  • Collaborate with researchers, developers, engineers, designers, technical leads, campus labs, and our government customers to understand challenges, needs, and potential solutions.

  • Mentor and teach junior staff, lead design sessions, and establish technical norms for the division.

  • Explore the latest advanced hardware, including FPGAs, CGRAs, TPUs, and emergent technologies such as neuromorphic and analog processors.

  • Work with division leadership and colleagues to plan, develop, expand, and carry out an overall research strategy, and influence the national research agenda regarding future technology.

  • Develop and deliver compelling technical presentations for diverse audiences, tailor content for varied stakeholders, speak at conferences and workshops, and publish in pertinent peer-reviewed journals.

Requirements
  • BS in Electrical Engineering, Computer Science, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience.

  • Able to travel to the Arlington SEI office, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location.

  • You will be subject to a background check investigation and will need to obtain and maintain a Department of War security clearance.

Knowledge, Skills, and Abilities
  • A published track record of conducting research and applying scientific methods.

  • Mastery of C/C++, Python, Verilog/VHDL, and/or other pertinent languages and software tools and frameworks.

  • Experience leading research projects and collaborating across research teams and mentoring other researchers.

  • Experience writing and delivering successful research proposals to funding agencies and leading the resulting projects.

  • Experience working with Department of War and Intelligence Community.

  • Familiarity with emerging trends and opportunities in industry and government.

Location
Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

Apply