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Components Jobs in Corona, CA (NOW HIRING)

VDart Inc

Restraint Engineer

Irvine, CA · On-site

Irvine, CA (Onsite) o 5+ years of recent relevant experience o Work experience on Automotive Occupant safety components [Airbag, Occupant Sensor, ODS and Seat belt] o Mechanical Design Engineer with ...

Volvo Group

Shop Technician/Welder

Corona, CA · On-site

Prepare materials and components for welding, including measuring, cutting, grinding, fitting, beveling, cleaning, and surface preparation. Read and work from measurements, drawings, specifications ...

Volvo Group

Shop Technician/Welder

Corona, CA · On-site

Main Tasks/ Responsibilities: • Perform welding and fabrication repairs on heavy construction equipment, attachments, and components, with work performed in the shop or field based on operational ...

Diality

Principal Mechnical Engineer

Irvine, CA

$165K - $188K/yr

Design components and assemblies for injection molding, machining, and other manufacturing processes, with a strong focus on design for manufacturability and assembly. Lead component and material ...

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$13

$21

$64

How much do components jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for components in Corona, CA is $21.71, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $17.84 per hour, depending on experience, location, and employer.

What cities near Corona, CA are hiring for Components jobs?

Cities near Corona, CA with the most Components job openings:

Components jobs near you
Infographic showing various Components job openings in Corona, CA as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, 4% Contract, and 2% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $45,166 per year, or $21.7 per hour.

1.68 Agentic AI/ML Engineer - Multimodal

FieldAI

Irvine, CA • On-site

Full-time

Re-posted 18 days ago

Job description

Job Summary:
FieldAI is transforming how robots interact with the real world. As an AI/ML Engineer on the FiFM team, you will drive research and model development for multimodal data from autonomous robots into actionable insights, focusing on computer vision and agentic AI.
Responsibilities:
• Train and fine-tune million- to billion-parameter multimodal models, with a focus on computer vision, video understanding, and vision-language integration.
• Track state-of-the-art research, adapt novel algorithms, and integrate them into FiFM.
• Curate datasets and develop tools to improve model interpretability.
• Build scalable evaluation pipelines for vision and multimodal models.
• Contribute to model observability, drift detection, and error classification.
• Fine-tune and optimize open-source VLMs and multimodal embedding models for efficiency and robustness.
• Build and optimize Multi-VectorRAG pipelines with vector DBs and knowledge graphs.
• Create embedding-based memory and retrieval chains with token-efficient chunking strategies.
Qualifications:
Required:
• Master’s/Ph.D. in Computer Science, AI/ML, Robotics, or equivalent industry experience.
• 2+ years of industry experience or relevant publications in CV/ML/AI.
• Strong expertise in computer vision, video understanding, temporal modeling, and VLMs.
• Proficiency in Python and PyTorch with production-level coding skills.
• Experience building pipelines for large-scale video/image datasets.
• Familiarity with AWS or other cloud platforms for ML training and deployment.
• Understanding of MLOps best practices (CI/CD, experiment tracking).
• Hands-on experience fine-tuning open-source multimodal models using HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA.
• Knowledge of precision tradeoffs (FP16, bfloat16, quantization) and multi-GPU optimization.
• Ability to design scalable evaluation pipelines for vision/VLMs and agent performance.
Preferred:
• Experience with Agentic/RAG pipelines and knowledge graphs (LangChain, LangGraph, LlamaIndex, OpenSearch, FAISS, Pinecone).
• Familiarity with agent operations logging and evaluation frameworks.
• Background in optimization: token cost reduction, chunking strategies, reranking, and retrieval latency tuning.
• Experience deploying models under quantized (int4/int8) and distributed multi-GPU inference.
• Exposure to open-vocabulary detection, zero/few-shot learning, multimodal RAG.
• Knowledge of temporal-spatial modeling (event/scene graphs).
• Experience deploying AI in edge or resource-constrained environments.
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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