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Weekend Software Engineer Gpu Jobs in Riverside, CA

Responsibilities : • Design, build, and maintain GPU based infrastructure for machine learning ... functional engineering teams to integrate ML components into robotics software systems.

Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data ... Work with cross-functional engineering teams to integrate ML components into robotics software ...

New

Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data ... Work with cross-functional engineering teams to integrate ML components into robotics software ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$129K - $171K/yr

Responsibilities : • Design, build, and maintain GPU based infrastructure for machine learning ... functional engineering teams to integrate ML components into robotics software systems.

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data ... Work with cross-functional engineering teams to integrate ML components into robotics software ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data ... Work with cross-functional engineering teams to integrate ML components into robotics software ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data ... Work with cross-functional engineering teams to integrate ML components into robotics software ...

Software Engineer, DevOps

Irvine, CA · On-site

$56 - $76.75/hr

Responsibilities : • Build and maintain CI/CD pipelines across robotics, AI, and software systems ... GPU workloads, or ML deployment pipelines. • Familiarity with ROS, Terraform, Helm, ArgoCD, or ...

Sr Engineer, Embedded GUI Software

Irvine, CA

$120K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Sr Instrument Software Engineer, you will design, develop, and maintain high-performance ... Background in GPU-accelerated or graphics-intensive applications. Education: * BS or MS degree in ...

Sr Engineer, Embedded GUI Software

Irvine, CA · On-site

$120K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Sr Instrument Software Engineer, you will design, develop, and maintain high-performance ... Background in GPU-accelerated or graphics-intensive applications. Education: * BS or MS degree in ...

Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines. * Familiarity ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines. * Familiarity ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines. * Familiarity ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines. * Familiarity ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines. * Familiarity ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines. * Familiarity ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

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Showing results 1-20

Weekend Software Engineer Gpu information

See Riverside, CA salary details

$66.2K

$153.9K

$214.4K

How much do weekend software engineer gpu jobs pay per year?

As of Aug 19, 2026, the average yearly pay for weekend software engineer gpu in Riverside, CA is $153,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $180,500.00 per year, depending on experience, location, and employer.

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 Riverside, CA?

The most popular types of Software Engineer Gpu jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Weekend Software Engineer Gpu jobs?

Cities near Riverside, CA with the most Weekend Software Engineer Gpu job openings:

Software Engineer, MLOps

FieldAI

Irvine, CA • On-site

Full-time

Re-posted 22 days ago


Job description

Job Summary:
FieldAI is transforming how robots interact with the real world by building reliable AI systems for complex robotics challenges. The MLOps Engineer will design and maintain infrastructure for machine learning systems, collaborating closely with engineering teams to ensure effective deployment and monitoring of ML models.
Responsibilities:
• Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.
• Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.
• Build tools and automation to support reproducible experiments, model versioning, and dataset management.
• Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.
• Monitor model performance and system reliability across development and production environments.
• Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.
• Work with cross-functional engineering teams to integrate ML components into robotics software systems.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
• 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.
• Strong programming skills in Python or similar languages.
• Experience building and maintaining machine learning pipelines.
• Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.
• Solid understanding of Linux systems and distributed computing environments.
• Experience with GPU workload scheduling and orchestration across multi-region cloud environments.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
Preferred:
• Experience deploying and operating ML systems for robotics or real-world physical systems.
• Experience with scaling AI, ML, and inference workloads on Kubernetes.
• Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)
• Experience with experiment tracking, model versioning, or dataset versioning tools.
• Experience optimizing ML pipelines for large-scale training and data processing.
• Experience working closely with research or applied machine learning teams.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.