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Weekend Software Engineer Gpu Jobs in Missouri (NOW HIRING)

$80K - $110K/yr

Apply strong software engineering practices, including CI/CD, version control, unit testing, and ... Exposure to cutting-edge GPU computing, distributed systems, and modern machine learning ...

We're looking for a passionate Software Developer - ML/AI Compiler to help shape the future of AI ... Experience in performance tuning and low-level optimization on GPU, CPU, or AI accelerators

New

Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical ...

... optimization using GPU acceleration, high-performance computing, and efficient software ... Strong programming experience in Python, MATLAB and C++. * Experience developing machine learning ...

Core Engineering: 10+ years of experience in SRE, DevOps, or Software/Systems Engineering ... Experience supporting infrastructure for large-scale AI/ML workloads (e.g., GPU scheduling, LLM ...

Showing results 41-60

Weekend Software Engineer Gpu information

What is the difference between Weekend Software Engineer Gpu vs Weekend Software Engineer Cloud?

AspectWeekend Software Engineer GpuWeekend Software Engineer Cloud
Required CredentialsBachelor's in Computer Science or related, experience with GPU programmingBachelor's in Computer Science or related, experience with cloud platforms
Work EnvironmentOn-site or remote, focused on GPU hardware and softwareRemote or hybrid, focused on cloud infrastructure and services
Industry UsageGaming, AI, high-performance computingWeb services, SaaS, enterprise solutions
Search & Comparison IntentYesYes

The Weekend Software Engineer Gpu and Weekend Software Engineer Cloud roles share similar educational backgrounds and work environments but differ in focus areas. The GPU role emphasizes hardware acceleration and high-performance computing, while the Cloud role centers on cloud infrastructure and services. Both are in high demand and often compared by job seekers exploring flexible tech roles.

What are the most commonly searched types of Software Engineer Gpu jobs in Missouri?

The most popular types of Software Engineer Gpu jobs in Missouri are:

What cities in Missouri are hiring for Weekend Software Engineer Gpu jobs?

Cities in Missouri with the most Weekend Software Engineer Gpu job openings:

Principal Engineer - Local AI, Agents and Systems

Jobtailor

California, MO • On-site

$180 - $240/hr

Other

Posted 3 days ago

New


Job description

  • Act as the lead engineer for developing agent frameworks natively on Windows environments
  • Build the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops
  • Lead engineering efforts to optimize agent runtimes for Windows
  • Ensure autonomous agents operate within detailed, policy-based privacy and security frameworks
  • Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community
  • Ensure consumer hardware provides an excellent ecosystem for autonomous agents
  • Foster a collaborative engineering culture by mentoring other engineers and writing reliable, production-ready code
Requirements
  • 15+ years of relevant professional software engineering experience
  • At least 3+ years in Staff or Lead Architect role
  • BS, MS, or PhD in Computer Science, Computer Engineering, or related field (or equivalent experience)
  • Deep understanding of Windows OS internals, process isolation, sandboxing technologies, and system-level security architecture
  • Proven understanding of LLM inference pipelines (Ollama, Llama.cpp, vLLM), GPU-accelerated computing (CUDA, TensorRT), and experience running local models on consumer-grade hardware
  • Practical experience with modern AI orchestration and agentic frameworks (e.g., OpenClaw, Hermes, LangChain)
  • Proficiency in C++ (for performance-critical systems/OS integration) and Python (for AI/blueprint logic)
  • Experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem.
Core Competencies

Demonstrates expertise in developing agent frameworks for Windows environments, with a strong focus on optimizing AI assistants and ensuring compliance with privacy and security standards. Proven ability to lead engineering teams and mentor peers while delivering reliable, production-ready code.

Highest-signal resume keywords
  • Windows OS Internals
  • C++ Proficiency
  • Python Proficiency
  • LLM Inference Pipelines
  • AI Orchestration Frameworks
ATS Optimization KeywordsHard Skills
  • Software Engineering
  • System-Level Security Architecture
  • GPU-Accelerated Computing
  • Virtualization Tools
  • Containerization Tools
  • Sandboxing Technologies
  • Agent Framework Development
  • Performance-Critical Systems Integration
  • AI/Blueprint Logic
  • Process Isolation
Soft Skills
  • Mentoring
  • Collaboration
  • Leadership
Certifications & Qualifications
  • BS in Computer Science
  • MS in Computer Engineering
  • PhD in Related Field
Industry Keywords
  • AI Assistants
  • Consumer Hardware
  • Privacy Frameworks
  • Security Frameworks
  • Engineering Culture
Tools & Technologies
  • CUDA
  • TensorRT
  • OpenClaw
  • Hermes
  • LangChain
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