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Internship Python Network Programming Jobs in Logan, UT

AI Infrastructure Engineer IV

Mendon, UT ยท On-site

$93.70K - $122.90K/yr

... and networking to support AI and ML workloads. * Deploy and manage AI systems within cloud ... Strong programming skills in Python and/or C++, with experience supporting machine learning ...

Network and server infrastructure experience** * Proficiency in problem-solving, root cause ... Basic scripting knowledge (Python, Bash, or similar)** Skills and Abilities: * Strong written and ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

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Internship Python Network Programming information

See Logan, UT salary details

$11

$50

$74

How much do internship python network programming jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship python network programming in Logan, UT is $50.57, according to ZipRecruiter salary data. Most workers in this role earn between $41.68 and $57.45 per hour, depending on experience, location, and employer.

What is the difference between Internship Python Network Programming vs Python Network Engineer?

AspectInternship Python Network ProgrammingPython Network Engineer
CredentialsTypically pursuing or recent graduate, no formal certification requiredOften requires a degree in Computer Science or related field, plus certifications like Cisco CCNA or CompTIA Network+
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, responsible for designing, implementing, and maintaining network solutions
Industry UsageUsed in tech companies, networking labs, and educational settingsApplied across industries like IT, telecommunications, and enterprise networks

While an internship in Python Network Programming offers hands-on experience and foundational skills, a Python Network Engineer role involves advanced network design, troubleshooting, and ongoing management. Internships serve as a stepping stone toward becoming a full-fledged network engineer.

AI Infrastructure Engineer IV

AI Infrastructure Engineer IV

Autonomous Solutions

Mendon, UT โ€ข On-site

$93.70K - $122.90K/yr

Full-time

Posted 12 days ago


Job description

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.

As an AI Infrastructure Engineer IV, you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our compute, storage, and cloud environments are scalable, efficient, and tuned for high-performance AI workloads. Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems.

Responsibilities:

  • Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads.

  • Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability.

  • Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows.

  • Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes.

  • Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines.

  • Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges.

Required Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.

  • 8+ years of experience in cloud infrastructure, DevOps, or platform engineering with 3+ years working on AI/ML systems.

  • Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage.

  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.

  • Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools.

  • Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.).

  • Experience implementing CI/CD pipelines, MLOps practices, and automation tooling.

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.


Job Posted by ApplicantPro