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Gpu Performance Engineer Jobs in Riverside, CA (NOW HIRING)

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 ... Monitor model performance and system reliability across development and production environments.

FieldAI

Agentic AI/ML Engineer, Multimodal

Irvine, CA · On-site

... GPU optimization. • Ability to design scalable evaluation pipelines for vision/VLMs and agent ... performance. Preferred : • Experience with Agentic/RAG pipelines and knowledge graphs (LangChain ...

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$110K - $152K/yr

... infrastructure for performance and cost across cloud and edge. • Enforce best practices in ... GPU orchestration and auto-scaling (Karpenter, SageMaker, EKS). • Experience with agentic AI ...

FieldAI

Agentic AI/ML Engineer, Multimodal

Irvine, CA · On-site

Knowledge of precision tradeoffs (FP16, bfloat16, quantization) and multi-GPU optimization ... Ability to design scalable evaluation pipelines for vision/VLMs and agent performance. The Extras ...

Masimo

Sr Engineer, Embedded GUI Software

Irvine, CA · On-site

$120K - $170K/yr

You will work on performance-critical software, collaborate closely with cross-functional teams ... Background in GPU-accelerated or graphics-intensive applications. Education: * BS or MS degree in ...

Masimo

Sr Engineer, Embedded GUI Software

Irvine, CA · On-site

$120K - $170K/yr

You will work on performance-critical software, collaborate closely with cross-functional teams ... Background in GPU-accelerated or graphics-intensive applications. Education: * BS or MS degree in ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

... performance of high frame rate machine vision systems. * Stay up to date with the latest ... Experience with hardware-software integration and optimization for embedded systems, including GPU ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

... performance of high frame rate machine vision systems. * Stay up to date with the latest ... Experience with hardware-software integration and optimization for embedded systems, including GPU ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

... performance of high frame rate machine vision systems. * Stay up to date with the latest ... Experience with hardware-software integration and optimization for embedded systems, including GPU ...

FieldAI

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines. * Familiarity ... We evaluate candidates and employees based on merit, qualifications, and performance, and we do not ...

FieldAI

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines. * Familiarity ... We evaluate candidates and employees based on merit, qualifications, and performance, and we do not ...

FieldAI

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines. * Familiarity ... We evaluate candidates and employees based on merit, qualifications, and performance, and we do not ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... performance of high frame rate machine vision systems. * Stay up to date with the latest ... Experience with hardware-software integration and optimization for embedded systems, including GPU ...

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All JobsGpu Performance Engineer JobsGpu Performance Engineer Jobs in Riverside, CA

Gpu Performance Engineer information

See Riverside, CA salary details

$11

$62

$102

How much do gpu performance engineer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for gpu performance engineer in Riverside, CA is $62.71, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $70.96 per hour, depending on experience, location, and employer.

What are some common challenges faced by GPU Performance Engineers when optimizing graphics workloads?

GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.

What is a GPU Performance Engineer?

A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.

What are the key skills and qualifications needed to thrive as a GPU Performance Engineer, and why are they important?

To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.

What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical engineering, VLSI design certifications

The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.

What are popular job titles related to Gpu Performance Engineer jobs in Riverside, CA? For Gpu Performance Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Gpu Performance Engineer jobs in Riverside, CA look for? The top searched job categories for Gpu Performance Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Gpu Performance Engineer jobs? Cities near Riverside, CA with the most Gpu Performance Engineer job openings:
Gpu Performance Engineer jobs near you

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 3 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • 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.

What You Have

  • 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.

What Will Set You Apart

  • 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.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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