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Weekend Software Engineer Gpu Jobs in Utah (NOW HIRING)

AI Infrastructure Engineer IV

Lehi, UT

$100K - $132K/yr

Working closely with data scientists, robotics engineers, and software teams, you'll develop robust ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

Working closely with data scientists, robotics engineers, and software teams, you'll develop robust ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...

Perception Engineer III

Mendon, UT · On-site

$100K - $117K/yr

Perception Engineers collaborate with teams across ASI, including Embedded Software, Planning ... Experience with ROS2, GPU processing, and embedded ML applications. * Background in object ...

Perception Engineer III

Mendon, UT · On-site

$100K - $117K/yr

Perception Engineers collaborate with teams across ASI, including Embedded Software, Planning ... Experience with ROS2, GPU processing, and embedded ML applications. * Background in object ...

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

Occasional off-hours or weekend work required for emergency facility responses or projects as ... This position requires direct or indirect access to hardware, software, technology or technical ...

Reliability Engineer

Santa Clara, UT · On-site

$45K - $121K/yr

... and software for various NV products, including large server systems, and perform functional ... GPU/Tegra products. * Develop and maintain scripts for automated test programs. * Set up and ...

Integration Support Engineer

Lehi, UT · On-site

$97K - $131K/yr

What you should have: * 2-3 years prior experience setting up software or following technical ... Generous vacation time, plus three 4-day summer holiday weekends * Excellent medical, dental, and ...

The region is growing as a hub for GPU computing and AI infrastructure. About Introl Introl stands ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

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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 Utah? The most popular types of Software Engineer Gpu jobs in Utah are:
AI Infrastructure Engineer IV

$100K - $132K/yr

Full-time

Posted 11 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.