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Remote High Performance Computing Engineer Jobs in Missouri

... high-performance computing and memory management. * Experience with GPU programming or systems ... Fully remote working flexibility within Europe. * Opportunity to work on impactful AI ...

This position is ideal for someone passionate about decentralization, distributed computing, and ... Develop high-performance and highly concurrent networking solutions using Node.js and modern ...

... in a remote, high-autonomy environment, this is an exciting opportunity to shape impactful AI ... Integrate AI capabilities into cloud-based infrastructure while ensuring performance, scalability ...

New

$81K - $111K/yr

Working in a fully remote, high-growth environment, you will design scalable data platforms that ... Deliver actionable analyses that explain business performance and support strategic decision-making.

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and ... computing frameworks, specifically in scalable machine learning and high-performance data ...

C++ Tutor

Columbia, MO · 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 ...

C++ Tutor

Saint Louis, MO · 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 ...

C++ Tutor

Kansas City, MO · 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 ...

$94K - $130K/yr

In this role, you'll take ownership of crafting intuitive, secure, and high-performance user ... This is an excellent opportunity for a senior engineer who thrives in a fast-paced, remote-first ...

$94K - $130K/yr

Design, develop, and maintain scalable, high-performance frontend applications using React and ... Fully remote-first and flexible working environment. * 60 monthly phone and internet allowance.

... performance monitoring. You will be required to listen to and evaluate customer needs to determine and provide high quality solutions that align with customer expectations. This will involve ...

$110K - $135K/yr

Join a fully remote engineering team building scalable backend solutions for modern cloud-based ... Build secure, high-performance RESTful APIs and system integrations for cloud-based platforms.

New

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.

Optimize GPU utilization, memory efficiency, network performance, and model artifact storage to ... GPU computing, and large-scale AI model serving. * High level of ownership and influence over ...

New

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Remote High Performance Computing Engineer information

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:

System Engineer (Token Factory)

Jobgether

On-site, Remote

Full-time

Posted 8 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 System Engineer (Token Factory) based in Netherlands.

Join a cutting-edge AI infrastructure team building the next generation of large-scale inference platforms. In this role, you will work on the core systems that make advanced AI models faster, more reliable, and easier to deploy at global scale. You will solve complex engineering challenges across GPU computing, hardware optimization, and low-level performance tuning while collaborating with experts in machine learning and backend systems. This is an opportunity to contribute directly to the future of AI infrastructure, working in a highly technical, international, and innovation-driven environment where engineering excellence and ownership are valued.

Accountabilities
  • Develop and optimize low-level kernels, runtime components, and system software responsible for high-performance AI inference workloads.
  • Improve inference engine performance across GPU platforms by identifying bottlenecks and implementing advanced optimization techniques.
  • Profile, debug, and resolve system-level and hardware-level performance issues across CPU and GPU environments.
  • Integrate support for emerging GPU architectures and next-generation hardware platforms.
  • Collaborate closely with machine learning and backend engineering teams to optimize end-to-end execution pipelines.
  • Contribute to the continuous improvement of large-scale AI infrastructure through technical innovation, performance analysis, and system-level problem solving.
Requirements
  • Strong proficiency in C++ development or deep expertise in GPU programming focused on low-level, high-performance computing and memory management.
  • Experience with GPU programming or systems-level software development, including operating system internals, kernel modules, device drivers, or comparable areas.
  • Hands-on experience using profiling and debugging tools to analyze CPU and GPU performance issues and optimize code based on findings.
  • Strong understanding of CPU/GPU architecture, memory hierarchy, and hardware performance considerations.
  • Familiarity with GPU computing technologies such as CUDA, ROCm, CUTLASS, Triton, Pallas, Mosaic GPU, or similar frameworks is highly valued.
  • Experience with machine learning inference runtimes such as TensorRT, TVM, or comparable technologies is a plus.
  • Knowledge of Linux internals, compiler toolchains, drivers, and performance analysis tools such as perf, VTune, Nsight, or ROCm profiler is beneficial.
  • Familiarity with modern inference engines and AI deployment frameworks is considered an advantage.
  • Strong problem-solving skills, technical curiosity, and ability to collaborate effectively in a fast-paced engineering environment.
Benefits
  • Competitive compensation package.
  • Fully remote working flexibility within Europe.
  • Opportunity to work on impactful AI infrastructure projects at global scale.
  • Strong opportunities for career development and continuous technical learning.
  • High level of ownership and autonomy in a collaborative engineering culture.
  • International environment with talented teams working on advanced AI technologies.
  • Opportunity to contribute to the evolution of large-scale GPU computing and AI deployment platforms.
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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