ZipRecruiter

Log In

1

Machine Vision Application Engineer Jobs in California

Bonsai Robotics

Field Application Engineer

Davis, CA · On-site

$85K - $115K/yr

... and engineers. If you are driven by innovation, love working in the field, and are eager to ... machine vision components. * Perform root cause analysis and necessary repairs, documenting each ...

Mazak Corporation

Application Engineer

Gardena, CA · On-site

$75K - $110K/yr

The Applications Engineer assists Sales staff by providing technical information on the use of Mazak machine tools to produce customer parts/products, efficiently and with robust quality. This ...

Sulzer AG

Industrial Application Engineer

Santa Ana, CA · On-site

$85K - $90K/yr

Knowledge or working experience of industrial processes and process machinery. Experience in food ... Comprehensive health plan including medical, dental, vision, Life, short-term & long-term ...

KEYENCE

Field Application Engineer '27

El Segundo, CA · On-site +1

$53K - $80K/yr

The title for this role may be called Application Engineer, Vision Consulting Engineer, or Integration Support Engineer depending on the product line you may be hired for. * Solve complex customer ...

KEYENCE

Field Application Engineer '27

San Diego, CA · On-site +1

$53K - $80K/yr

The title for this role may be called Application Engineer, Vision Consulting Engineer, or Integration Support Engineer depending on the product line you may be hired for. * Solve complex customer ...

KEYENCE

Field Application Engineer '27

Costa Mesa, CA · On-site +1

$53K - $80K/yr

The title for this role may be called Application Engineer, Vision Consulting Engineer, or Integration Support Engineer depending on the product line you may be hired for. * Solve complex customer ...

Sulzer AG

Industrial Application Engineer

Santa Ana, CA · On-site

$85K - $90K/yr

Knowledge or working experience of industrial processes and process machinery. Experience in food ... Comprehensive health plan including medical, dental, vision, Life, short-term & long-term ...

KEYENCE

Field Application Engineer '27

Walnut Creek, CA · On-site +1

$53K - $80K/yr

The title for this role may be called Application Engineer, Vision Consulting Engineer, or Integration Support Engineer depending on the product line you may be hired for. * Solve complex customer ...

KEYENCE

Field Application Engineer '27

Campbell, CA · On-site +1

$53K - $80K/yr

The title for this role may be called Application Engineer, Vision Consulting Engineer, or Integration Support Engineer depending on the product line you may be hired for. * Solve complex customer ...

Skild AI

Robotics Application Engineer

San Mateo, CA · On-site

Familiarity with AI and machine learning techniques as applied to robotic systems. * Background in ... Familiarity with vision systems, simulation tools, and sensor integration. * Strong analytical and ...

TRUMPF

Application Engineer - Welding

Santa Clara, CA · On-site

$70K - $95K/yr

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... CNC or robotic programming, material science and vision systems skills considered a plus * Must ...

Trumpf

Application Engineer - Welding

Santa Clara, CA

$70K - $95K/yr

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... CNC or robotic programming, material science and vision systems skills considered a plus * Must ...

Saratech

CAE Application Engineer

Mission Viejo, CA · On-site

$120K - $180K/yr

... machinery. We are seeking highly skilled and motivated Application Engineers to join our dynamic ... All full-time regular employees (and dependents) are eligible to get medical, dental, vision ...

previous pagenext page

Showing results 21-40

All JobsMachine Vision Application Engineer JobsMachine Vision Application Engineer Jobs in California

Machine Vision Application Engineer information

How does a machine vision application engineer typically collaborate with other departments during a project?

Machine Vision Application Engineers frequently work in cross-functional teams, collaborating closely with software developers, mechanical engineers, and production staff to ensure vision systems integrate seamlessly into manufacturing processes. They are often involved from the initial requirements gathering stage through to implementation and troubleshooting, providing technical expertise and translating complex imaging needs into practical solutions. Regular communication with quality assurance and operations teams is also common, as these engineers help fine-tune systems to maintain accuracy and efficiency on the production floor.

What is a machine vision application engineer?

A Machine Vision Application Engineer is a technical professional who designs, develops, and implements machine vision systems used for automated inspection, measurement, and guidance in manufacturing and industrial environments. They work with cameras, sensors, lighting, and image processing software to create solutions that help machines 'see' and interpret visual information. Their role often involves collaborating with clients to understand application requirements, selecting appropriate hardware and software, and ensuring successful system integration. Machine Vision Application Engineers play a key role in improving product quality, production efficiency, and automation processes.

What are the key skills and qualifications needed to thrive as a machine vision application engineer, and why are they important?

To thrive as a Machine Vision Application Engineer, you need a solid background in engineering or computer science, experience with image processing, and a strong understanding of optics and camera technologies. Familiarity with machine vision software (such as Cognex, Halcon, or OpenCV), programming languages (like C++ or Python), and industrial automation systems is typically required. Strong problem-solving skills, effective communication, and project management abilities help you excel in client-facing and cross-disciplinary environments. These skills are crucial for designing, implementing, and supporting robust vision systems that meet manufacturing and automation needs.

What is the difference between Machine Vision Application Engineer vs Computer Vision Engineer?

AspectMachine Vision Application EngineerComputer Vision Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with vision systemsBachelor's or higher in Computer Science, Electrical Engineering, or related; strong programming skills
Work EnvironmentManufacturing, automation, quality control settingsResearch labs, tech companies, AI development environments
Industry UsageIndustrial automation, robotics, manufacturingAI, autonomous vehicles, image analysis
Common Search/ComparisonYesYes

While both roles involve image processing and vision systems, the Machine Vision Application Engineer focuses on implementing vision solutions in industrial settings, whereas the Computer Vision Engineer works on developing algorithms and AI models for broader applications like autonomous vehicles and AI research.

What are popular job titles related to Machine Vision Application Engineer jobs in California? For Machine Vision Application Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Vision Application Engineer jobs in California look for? The top searched job categories for Machine Vision Application Engineer jobs in California are:
What cities in California are hiring for Machine Vision Application Engineer jobs? Cities in California with the most Machine Vision Application Engineer job openings:
Machine Vision Application Engineer jobs near you
Infographic showing various Machine Vision Application Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

AI Application engineer

Inficare Technologies

Santa Clarita, CA • On-site

Full-time

Re-posted yesterday

Job description

Role - AI Application engineer
Location - Santa Clara, CA (Onsite)
Duration - 12+ months
Need candidate to Prepare , Complete Coding assessment
AI Application engineer who understands data as well as application ; primary databricks and secondary snowflake
Description
Key Responsibilities
  • Design and develop AI-powered applications using machine learning, generative AI, and data-driven services.
  • Integrate ML models, LLMs, and AI services into web, mobile, and enterprise applications.
  • Build production-grade APIs and microservices to serve AI predictions and insights.
  • Collaborate with data scientists and ML engineers to operationalize models.
  • Implement prompt engineering, model orchestration, and inference pipelines.
  • Ensure performance, scalability, security, and reliability of AI applications.
  • Work on real-time and batch AI inference use cases.
  • Implement observability and monitoring for AI behavior and application health.
  • Handle model versioning, rollback strategies, and A/B testing.
  • Ensure compliance with data privacy, responsible AI, and governance standards.
  • Participate in architecture reviews and contribute to AI application best practices.
  • Troubleshoot application and inference issues in production environments.
  • Mentor junior developers and contribute to technical documentation.

Required Skills & Qualifications
Application Development
  • 5-6 years of experience in application development or software engineering.
  • Strong proficiency in Python and/or JavaScript/TypeScript.
  • Experience with backend frameworks (FastAPI, Flask, Django, Node.js).
  • Strong understanding of REST APIs, microservices, and system design.
  • Experience with frontend frameworks is a plus (React, Angular, Vue).

AI & Machine Learning
  • Hands-on experience integrating ML models and AI services into applications.
  • Understanding of ML lifecycle, inference patterns, and model usage.
  • Experience with Generative AI / LLMs (OpenAI, Azure OpenAI, AWS Bedrock, Hugging Face).
  • Knowledge of prompt engineering, context management, and RAG (Retrieval-Augmented Generation).
  • Familiarity with embeddings and vector search.

Data & Backend Integration
  • Strong SQL skills and experience with databases (relational & NoSQL).
  • Experience integrating with data pipelines, feature stores, and analytics systems.
  • Knowledge of APIs, caching layers, and messaging systems (Kafka, RabbitMQ).

Cloud & DevOps
  • Hands-on experience with cloud platforms (AWS / Azure / GCP).
  • Experience deploying AI applications using Docker & Kubernetes.
  • Familiarity with CI/CD pipelines.
  • Experience with cloud-native AI services is a plus.

Apply