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Internship High Performance Computing Engineer Jobs in Pittsburgh, PA

DevOps Manager

Pittsburgh, PA ยท On-site

$51.25 - $70.25/hr

... high-performance, customer service-oriented work environment Responsible for the vision, design ... cloud computing and data storage resources and related management software in support of data ...

C++ Tutor

Pittsburgh, PA ยท Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure ... Could you be the full-time onsite Train Performance Engineer in West Mifflin, PA, US we're looking ...

From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure ... Could you be the full-time onsite Train Performance Engineer in West Mifflin, PA, US we're looking ...

From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure ... Could you be the full-time onsite Train Performance Engineer in West Mifflin, PA, US we're looking ...

... works with staffto ensure a high-performance, customer service-oriented work environment ... Responsible for thevision, design, installation, and administration of cloud computing anddata ...

... high-performance computing, power electronics, automotive, and aerospace markets. * Establish ... B.S. in Mechanical Engineering, Materials Science and Engineering, Chemical Engineering, or a ...

Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our ...

Showing results 21-40

Internship High Performance Computing Engineer information

See Pittsburgh, PA salary details

$10

$58

$95

How much do internship high performance computing engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship high performance computing engineer in Pittsburgh, PA is $58.35, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $66.06 per hour, depending on experience, location, and employer.

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

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

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

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an internship high performance computing engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an internship high performance computing engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.
What are popular job titles related to Internship High Performance Computing Engineer jobs in Pittsburgh, PA? For Internship High Performance Computing Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
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Infographic showing various Internship High Performance Computing Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 20% Internship, 40% Full Time, and 40% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $121,370 per year, or $58.4 per hour.

Senior Cyber Security Engineer - Automation, Data Center & Networking Security

Latitude AI

Pittsburgh, PA โ€ข On-site

$111K - $152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

Latitude AI (lat.ai) is building the future of Ford's autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on Ford's all-new Universal Electric Vehicle in 2027.ย 

When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to redefining the relationship between people and their vehicles for millions of customers.

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The Enterprise Cyber Security team is focused on ensuring the resilience of our corporate environment with focus on protection of our corporate systems, IP, and employee data. We are a close-knit team with strong cross-functional roles in the company.

As a Cyber Security Engineer, you will be the hands-on technical lead securing our High Performance Computing (HPC)/Virtualization environments. Your job is to have a deep understanding of this infrastructure, network architecture, and the operations depending on it, including our software/hardware/network engineering, fleet operations requirements, and administrative functions. You will use your knowledge and experience to design, implement, automate, and continuously improve our security posture.ย 

What you'll do:ย 

  • Plan for, execute, and follow through on projects and engagements independently
  • Apply best practices in software, network, and infrastructure engineering
  • Deliver projects on time, on budget, with excellent quality and security configurations
  • Review the existing and new deployments and architecture designs looking for design flaws, security improvements, and advocate for stronger security controls that meet functional and operational needs
  • Work hand-in-hand with the Cloud Platform, IT, and Product teams to research, design and develop security solutions and deployments and strategies tailored to Latitude's business needs
  • Engage actively in Data Center and Network Security initiatives to assess existing security and implementations of supplemental technical solutions to improve securityย 
  • Document findings, conduct comparisons, perform threat and risk assessments, and Proof of Concepts aiding the team in making informed decisions about the impact of various design options
  • Develop, Review, and Design the automation and orchestration for security aspects of cloud and virtualized deployments
  • Provide inputs into dashboards and report metrics on the status of the Cyber Security posture
  • Hands on deployment of solutions, working independently and as part of a team
  • Provide mentoring and skill set knowledge transfer to team members and engineering staff
  • Moderate and contribute to Supercomputing System Administration that contributes to:
    • Proactive monitoring, analysis, and correcting system security issues
    • Development of scripts to automate, perform security checks, and develop tools to enhance support of the Cloud/Virtualized systems and development environments
  • Developing playbooks/runbooks, operational and troubleshooting documentation
  • Evaluate and contribute to designs for Network and Infrastructure Solutions with Security and Functionality as pillars of implementation
  • Consult and advocate security best practices for DMZ architectures, NAC/NAP, lateral isolation, and multi-site data movement in Network management tooling (like Palo Alto, Fortinet, F5)

What you'll need to succeed:

  • At a minimum, a Bachelor's degree in Computer Engineering, Computer Science, Cyber Security or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience)
  • Strongly prefer 8+ years related experience or 6 years with a Master's degree; as a Data Center/Virtualization and/or Network Security Architect/Engineer
  • 2+ years of related experience in vulnerability management and adjusting the risk rating/severity dependent on internal factors for cloud and other infra
  • High proficiency and Hands-on experience in cloud/virtualization technologies (AWS/HPC/MAAS)
  • Experience with Lustre, Kerberos, and Linux Administration
  • Proficiency in scripting languages, including Bash, Python, Go, or Java to create production level services and automation tools that incorporate into CI/CD
  • Proficiency and hands-on experience using Infrastructure as Code (IaC) to automate the creation of cloud resources, virtualized systems, and review infrastructure deployments. E.g. Terraform, Cloud Formation, Ansible, or others
  • Ability to grasp new technologies quickly and prioritize and multitask on multiple responsibilities
  • Hands-on Experience with patching and hardening Linux, MacOS, and Windows Systems (clients and servers), images, and containers
  • Proficient in Network Protocols and Firewall Management, with hands-on experience in configuration and optimization to ensure network security internally and at perimeters
  • Critical thinking and a holistic view of Cyber Security with ability to balance security requirements with mission needs and collaboration across teams
  • Exceptional organizational and time management skills demonstrated through adept autonomy, independent work, collaborative teamwork, and a professional demeanor
  • Strong experience with architecting/deploying scalable security services and workloads in cloud native and virtualized environments
  • Strong experience with securing distributed applications and clustered compute workloads running on CPUs, GPUs, and TPUs
  • Understand engineering design limitations and provide guidance for teams to secure their deployments to achieve desired performance in budget and on time
  • An Independent take-charge attitude while being open-minded, creatively thinking, willing to take calculated risks, and make informed decisions
  • Strong understanding of Cyber Security Standards (ISO27001, NIST 800-53)
  • Experience with Jenkins a plus
  • Experience with Zero Trust Architecture (ZTA) principles and implementations
  • Exposure to data governance, secure data movement, and storage lifecycle management
  • Must have demonstrated proficiency and strength in verbal, written, presentation, and communications skills, including technical diagramming
  • A sense of camaraderie, compassion, and unparalleled passion/energy

What we offer you:

  • Competitive compensation packages
  • High-quality individual and family medical, dental, and vision insurance
  • Health savings account with available employer match
  • Employer-matched 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance and the option to elect voluntary life insurance
  • Paid parental leave
  • Paid medical leave
  • Unlimited vacation
  • 15 paid holidays
  • Daily lunches, snacks, and beverages available in all office locations
  • Pre-tax spending accounts for healthcare and dependent care expenses
  • Pre-tax commuter benefits
  • Monthly wellness stipend
  • Adoption/Surrogacy support program
  • Backup child and elder care program
  • Professional development reimbursement
  • Employee assistance program
  • Discounted programs that include legal services, identity theft protection, pet insurance, and more
  • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude's team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $160,000 - $240,000 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.