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Temporary Software Engineer Gpu Jobs in Riverside, CA

FieldAI

Software Engineer, MLOps

Irvine, CA · On-site

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

Rivian VW Group

Staff Embedded Software Engineer

Irvine, CA · On-site

$150 - $200/hr

Role Summary We are looking for a Staff Embedded Software Engineer who understands the lay of the ... Design and implement rigorous stress tests for critical ECU subsystems (CPU, GPU, NPU, Multimedia ...

FieldAI

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.

FieldAI

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 ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

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 ...

FieldAI

Software Engineer, DevOps

Irvine, CA

$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 ...

FieldAI

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 ...

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Temporary Software Engineer Gpu information

See Riverside, CA salary details

$66.2K

$153.9K

$214.4K

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

As of Sep 7, 2026, the average yearly pay for temporary 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 does a temporary software engineer GPU do?

A Temporary Software Engineer GPU is responsible for designing, developing, and optimizing software that interacts with graphics processing units (GPUs), typically for a specific project or short-term period. Their duties may include writing code to improve GPU performance, working on graphics or compute-intensive applications, and collaborating with hardware and software teams to ensure efficient GPU utilization. These roles are often contract-based and require strong programming skills in languages such as C++ or CUDA, as well as a solid understanding of GPU architectures.

What are the typical projects a temporary software engineer GPU might work on, and how do they collaborate with permanent team members?

As a Temporary Software Engineer GPU, you can expect to be assigned to specific, time-bound projects such as optimizing graphics performance, supporting new hardware integration, or debugging GPU-related issues. You’ll often work closely with permanent engineers, participating in code reviews, daily stand-ups, and cross-functional meetings to ensure alignment and knowledge transfer. Collaboration is key, as you may need to quickly get up to speed with existing codebases and tools, and contribute solutions that fit seamlessly into larger, ongoing projects. The role offers a fast-paced environment where adaptability and strong communication skills are highly valued.

What are the key skills and qualifications needed to thrive as a temporary software engineer GPU, and why are they important?

To thrive as a Temporary Software Engineer GPU, you need a solid background in computer science, experience with GPU programming (such as CUDA or OpenCL), and proficiency in languages like C++ or Python. Familiarity with GPU development environments, debugging tools, and version control systems, along with any relevant certifications, is highly valuable. Strong problem-solving abilities, adaptability, and effective teamwork skills help set candidates apart in this fast-evolving field. These skills enable efficient development, optimization, and integration of GPU-accelerated applications, which is crucial for meeting project deadlines and technical goals.

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 Temporary Software Engineer Gpu jobs?

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

Temporary Software Engineer Gpu jobs near you

Software Engineer, MLOps

FieldAI

Irvine, CA • On-site

Full-time

Re-posted 11 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.

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