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Internship High Performance Computing Engineer Jobs in St Charles, MO

Exos

Performance Coach

Saint Louis, MO

... including high-risk populations. * Offer one-on-one consultations, personalized training, and ... At least 6 months of industry experience, including relevant internships. * Proven experience in ...

360 IT Professionals

Automation QA

Saint Louis, MO · On-site

... Cloud computing and IT staffing. Merging Information Technology skills in all its services and ... to deliver high-performance results, based exclusively on the one of a kind requirement. Our ...

Accenture

AI & HPC Infrastructure Engineer

Saint Louis, MO · On-site

$97K - $127K/yr

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI, accelerated computing, and high-performance workloads.

Exos

Performance Coach

Saint Louis, MO · On-site

... including high-risk populations. * Offer one-on-one consultations, personalized training, and ... At least 6 months of industry experience, including relevant internships. * Proven experience in ...

Clayco

Mechanical Engineer I

Saint Louis, MO

... high-performance infrastructure, and integrated design project delivery. In this role, you will ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

Clayco

Mechanical Engineer I

Saint Louis, MO

... high-performance infrastructure, and integrated design project delivery. In this role, you will ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

Clayco

Mechanical Engineer I

Saint Louis, MO · On-site

... high-performance infrastructure, and integrated design project delivery. In this role, you will ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

Clayco

Mechanical Engineer I

Saint Louis, MO

... high-performance infrastructure, and integrated design project delivery. In this role, you will ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

Clayco

Mechanical Engineer I

Saint Louis, MO · On-site

... high-performance infrastructure, and integrated design project delivery. In this role, you will ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

Clayco

Mechanical Engineer I

Saint Louis, MO

... high-performance infrastructure, and integrated design project delivery. In this role, you will ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

Clayco

Mechanical Engineer I

Saint Louis, MO · On-site

... high-performance infrastructure, and integrated design project delivery. In this role, you will ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

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Showing results 21-40

All JobsHigh Performance Computing Engineer JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in St. Charles, MO

Internship High Performance Computing Engineer information

See St Charles, MO salary details

$10

$56

$92

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

As of Aug 11, 2026, the average hourly pay for internship high performance computing engineer in St. Charles, MO is $56.60, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $64.04 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 cities near St. Charles, MO are hiring for Internship High Performance Computing Engineer jobs? Cities near St. Charles, MO with the most Internship High Performance Computing Engineer job openings:
Internship High Performance Computing Engineer jobs near you

Performance Optimization Engineer

Pyramid Technology Solutions, Inc.

O Fallon, MO • On-site

$65/hr

Other

Posted 27 days ago

Job description

Position: Systems Performance Engineer/Performance Optimization Engineer/Performance Analyst

Location: O''Fallon, Missouri - Hybrid

Duration: 6+Months with possible extensions

 

Rate: $65/hr on W2 all Inc. (No room in rate)

 

Interviews: (3 Rounds): All the interviews within one week.

 

Description: Responsible for identifying and resolving end-to-end performance bottlenecks across distributed systems, Spring Boot services, middleware components, and hybrid cloud environments (private cloud + AWS). This role goes far beyond traditional testing by deeply analyzing container orchestration, networking paths, and system interactions under load. This position maps full system workflows, sets realistic latency budgets, and ensures each component meets its SLOs. Ideal candidates have extensive experience with high-scale, multi-region, and high-transaction platforms (e.g., financial systems, payment processing, or large enterprise SaaS) running in a Cloud environment.

Key Responsibilities:

  • Define service-level objectives (SLOs), performance budgets, and latency/throughput targets across services.
  • Architect and champion comprehensive distributed tracing strategies (Dynatrace, AWS X-Ray, etc.).
  • Analyze application, platform, and cloud behavior using deep-dive techniques such as heap dumps, thread dumps, flame graphs, logs, network traces, and storage I/O profiling.
  • Review service and system architectures for performance risks (e.g., synchronous hops, excessive dependencies, misconfigured connection pools, poor cache placement).
  • Conduct and lead root-cause analysis for performance incidents in production and pre-production environments.
  • Develop capacity models and performance baselines for services running across cloud environments.

 

Areas of Expertise:

  • Application Layer: Spring Boot internals, JVM tuning, thread/heap management, concurrency debugging, optimization
  • Container Runtime: PCF, Docker, container resource limits, CPU throttling, memory pressure
  • Orchestrators: PCF, Kubernetes, ECS (autoscaling, pod health, scheduling issues)
  • Networking: Service-to-service hops, TLS overhead, DNS, routing, load balancer configs (F5, Nginx, ALB/NLB), service mesh performance
  • Storage: Latency, IOPS constraints, distributed file system behavior
  • Caching & Middleware: Redis, Hazelcast, NATS, Kafka, RabbitMQ configuration and throughput tuning
  • Databases: Connection pool tuning, slow queries, indexing, replication lag

Cloud Layer: AWS compute/storage/network performance, regional latency, cross-cloud traffic patterns

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