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High Performance Computing Hpc Jobs in Pennsylvania

$201K/yr

You will work within classified research and development and cloud computing (HPC) environments to ... Analyze and optimize the performance of software applications, ensuring they meet the high demands ...

About NovoLINC NovoLINC is a Carnegie Mellon University (CMU) spinoff, redefining thermal management for AI data centers, high-performance computing, and power electronics. Incubated through NSF and ...

... computing in production simulation workflows, unlocking new performance tiers for users with modern hardware • Improve developer productivity across multiple solver teams by building reusable HPC ...

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our ...

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our ...

Showing results 21-40

High Performance Computing Hpc information

See Pennsylvania salary details

$32.6K

$68.4K

$112.3K

How much do high performance computing hpc jobs pay per year?

As of Aug 9, 2026, the average yearly pay for high performance computing hpc in Pennsylvania is $68,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $83,200.00 per year, depending on experience, location, and employer.

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

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

What are some common challenges faced by professionals working in high performance computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is high performance computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

What are the key skills and qualifications needed to thrive as a high performance computing (HPC) specialist?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.
What are popular job titles related to High Performance Computing Hpc jobs in Pennsylvania? For High Performance Computing Hpc jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching High Performance Computing Hpc jobs in Pennsylvania look for? The top searched job categories for High Performance Computing Hpc jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for High Performance Computing Hpc jobs? Cities in Pennsylvania with the most High Performance Computing Hpc job openings:
Infographic showing various High Performance Computing Hpc job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $68,413 per year, or $32.9 per hour.

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

Latitude AI

Pittsburgh, PA

$111K - $152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 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. 

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. 

What you'll do: 

  • 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 security 
  • 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.