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Remote High Performance Computing Engineer Jobs in Missouri

Jobgether

$94K - $124K/yr

This role offers the opportunity to build and scale high-performance systems that power modern ... Ability to collaborate effectively in a remote, global engineering environment. Nice-to-have ...

Catapult Solutions Group

GoLang, Sr Engineer

Monett, MO · On-site +1

$60 - $75/hr

Remote (must be within 70 miles of Allen, TX, Birmingham, AL, Cedar Falls, IA, Charlotte, NC ... Able to apply knowledge of observability, scale, and performance in software development.

Jobgether

$88K - $106K/yr

... high-performance solutions. This position offers the opportunity to solve complex technical ... Fully remote work environment with flexibility to work from anywhere. * Competitive contract ...

Cogent, Inc

Control Systems Engineer

Fenton, MO · On-site +1

... high-performance automation solutions that meet customer requirements, safety standards, and ... Conduct on-site or remote system commissioning, testing, and operator training. * Assist with ...

Jobgether

$94K - $124K/yr

... remote sensing data, and geospatial technologies. This is an ideal opportunity for an experienced ... Build tools and processes to evaluate model performance, product impact, and data-driven ...

Jobgether

$44.25 - $59.50/hr

Join a fully remote engineering team focused on building scalable, high-performance backend solutions that power modern software products. In this role, you will contribute to the design, development ...

Jobgether

... based systems, performance-sensitive environments, or large-scale computing resources ... Fully remote work environment with flexibility across Europe. * Opportunity to work on advanced AI ...

Jobgether

$40 - $55/hr

You will own the iOS application from concept to production, creating intuitive, high-performance ... Fully remote full-time position with the flexibility to work from Europe. * Opportunity to build ...

Kohl's

... computing environment. You will utilize both cloud-based and on-prem tools to deliver scalable ... Implement software engineering best practices and ensure system performance and security

Cogent, Inc

Control Systems Engineer

Riverside, MO · On-site +1

... high-performance automation solutions that meet customer requirements, safety standards, and ... Conduct on-site or remote system commissioning, testing, and operator training. * Assist with ...

C2FO

Senior Data Engineer I

Kansas City, MO · On-site +1

$103K - $140K/yr

Design, develop, and maintain high-performance, scalable, and testable data pipelines and ETL ... This position is fully remote, requiring a reliable internet connection in a private setting.

Kohl's

$95K - $131K/yr

... performance, scalability, and cost efficiency * Contribute to the roadmap for Machine Learning ... Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow ...

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All JobsHigh Performance Computing Engineer JobsRemote High Performance Computing Engineer JobsRemote High Performance Computing Engineer Jobs in Missouri

Remote High Performance Computing Engineer information

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

AspectRemote High Performance Computing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience with HPC systemsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in programming and analytics
Work EnvironmentDesigning, optimizing, and maintaining HPC systems remotely for scientific or engineering tasksAnalyzing large datasets, building models, and generating insights remotely for various industries
Employer & Industry UsageTech companies, research institutions, engineering firms using HPC clustersTech, finance, healthcare, and research organizations leveraging data analytics

While both roles often require strong programming skills and familiarity with cloud or remote systems, the HPC Engineer focuses on maintaining and optimizing high-performance computing infrastructure, whereas the Data Scientist emphasizes data analysis and modeling. Their work environments overlap in remote settings, but their core responsibilities differ significantly.

Are remote high performance computing engineers in demand?

Remote high performance computing (HPC) engineers are in high demand due to the increasing need for processing large datasets and complex simulations across industries like research, finance, and technology. Skills in parallel programming, cluster management, and knowledge of tools such as MPI and CUDA enhance employability in this growing field.

How much do remote high performance computing engineers make in the US?

Remote high performance computing (HPC) engineers in the US typically earn between $80,000 and $150,000 annually, depending on experience, education, and specific industry. Senior roles or those requiring specialized skills in parallel processing, cluster management, or GPU computing may offer higher salaries, especially with certifications or advanced degrees.
What are the most commonly searched types of High Performance Computing Engineer jobs in Missouri? The most popular types of High Performance Computing Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote High Performance Computing Engineer jobs? Cities in Missouri with the most Remote High Performance Computing Engineer job openings:
Remote High Performance Computing Engineer jobs near you

Senior Software Engineer - Market Data

Jobgether

On-site, Remote

$94K - $124K/yr

Full-time

Medical

Posted 6 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer - Market Data based in Netherlands.

This role offers the opportunity to build and scale high-performance systems that power modern financial markets.
You will contribute to the architecture and evolution of market data platforms supporting millions of users worldwide.
The position focuses on designing resilient, low-latency backend services and developer-first APIs for financial data products.
You will work on complex engineering challenges involving distributed systems, cloud infrastructure, and real-time data processing.
As part of a globally distributed engineering environment, you will collaborate with experienced developers, traders, and financial technology specialists.
This is an opportunity to influence critical systems, improve scalability, and shape the future of accessible financial infrastructure.

Accountabilities:

In this role, you will design, develop, and maintain the core systems that support market data products, ensuring reliability, scalability, and exceptional performance. You will contribute to architectural decisions, solve complex technical challenges, and collaborate across engineering teams to deliver robust solutions.

  • Influence the overall architecture and evolution of market data systems, including streaming and historical data services.
  • Design and implement highly scalable, mission-critical backend systems with a focus on performance and reliability.
  • Build and maintain backend services, APIs, and infrastructure components that support financial data products.
  • Optimize systems for low latency and high throughput, focusing on performance improvements at every level.
  • Ensure strong software quality through testing, code reviews, documentation, and engineering best practices.
  • Troubleshoot production incidents, investigate bugs, and contribute to continuous system improvements.
  • Participate in on-call rotations when required to support critical engineering initiatives.
  • Collaborate with cross-functional teams to deliver scalable solutions aligned with business and customer needs.
Requirements:

The ideal candidate is an experienced software engineer with strong backend development skills, a deep understanding of distributed systems, and a passion for building reliable technology at scale. You should be comfortable working on complex infrastructure challenges and have experience leading technical initiatives.

  • 4+ years of experience building and operating large-scale software systems.
  • Strong experience with compiled programming languages such as Go, C, C++, Rust, or similar technologies.
  • Experience with SQL and relational databases.
  • Solid understanding of networking concepts, including TCP/IP and UDP.
  • Proficiency with Linux/BSD environments and shell scripting.
  • Experience designing and leading medium-scale technical projects involving multiple teams.
  • Hands-on experience with Kubernetes or other workload orchestration platforms.
  • Experience working with major cloud platforms, especially Google Cloud environments.
  • Strong understanding of software architecture, scalability, and distributed systems.
  • Passion for financial markets and interest in building technology for the financial industry.
  • Ability to collaborate effectively in a remote, global engineering environment.

Nice-to-have qualifications include:

  • Experience working with market data platforms or financial technology systems.
  • Knowledge of microservice architectures and clean code principles.
  • Experience with DevOps practices, CI/CD pipelines, and infrastructure automation.
  • Familiarity with cloud networking concepts such as BGP and VPC peering.
  • Experience building low-latency applications and distributed key-value storage systems.
  • Knowledge of observability, tracing, continuous profiling, and performance monitoring.
  • Experience with capacity planning, benchmarking, and Agile/Scrum methodologies.
Benefits:
  • Competitive salary package and stock options.
  • Health benefits.
  • Remote work flexibility within the EMEA region.
  • Home office setup support with a one-time allowance.
  • Monthly stipend to support remote work expenses.
  • Opportunity to work on impactful financial technology products.
  • Collaboration with a globally distributed team of experienced engineers.
  • Professional growth opportunities in a fast-growing technology environment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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