Automation Applications Engineer in Redmond

The Automation Applications Engineer involves the installation, maintenance, and troubleshooting of automation systems, with a focus on machine and computer vision technologies. The Automation Applications Engineer will collaborate directly with clients to ensure seamless integration and optimal performance of automated solutions. The Automation Applications Engineer will provide support to the Automation Engineering team., Installation and Configuration:

• Applying systems analysis procedures, including consulting with users, to determine hardware, software, or system-functional specifications
• The design, development, documentation, analysis, creation, testing, or modification of computer systems or programs, including prototypes, based on and related to user or system design specifications
• The design, documentation, testing, creation, or modification of computer programs related to machine operation systems
• Install and configure automation systems, with an emphasis on machine vision technologies and integration with AWS Machine Learning or similar platforms
• Collaborate with engineering teams to ensure proper setup and alignment with project specifications

Machine Vision and Machine Learning Expertise:

• Leverage in-depth knowledge of machine vision systems to enhance automation capabilities
• Implement and optimize machine vision algorithms for quality inspection and process control
• Apply experience in AWS Machine Learning or similar environments to enhance automation intelligence

Maintenance and Repair:

• Conduct regular maintenance checks on automation equipment, including machine vision and machine learning components, to ensure functionality and identify potential issues.
• Respond promptly to equipment breakdowns, diagnose problems, and perform necessary repairs

Testing and Quality Assurance:

• Perform thorough testing of automation systems, focusing on machine vision accuracy, machine learning model performance, and overall system efficiency.
• Implement quality assurance measures to guarantee reliable and efficient system performance.

Client Interaction:

• Interact with clients to understand their automation, machine vision, and machine learning requirements and provide technical support.

Documentation:

• Maintain accurate and up-to-date documentation of automation installations, configurations, machine vision settings, and machine learning models
• Create detailed reports on troubleshooting procedures and resolutions

Safety Compliance:

• Adhere to safety protocols and guidelines during installation, maintenance, and repair activities
• Ensure that all work meets industry safety standards and regulations

1. Ensures Accountability
2. Tech Savvy
3. Communicates Effectively
4. Values
5. Customer Focus
6. Resourcefulness
7. Drives Results
8. Plans and Prioritizes
9. Decision Quality
10. Self-Development

Work Environment:

This position is based in a professional office setting and regularly utilizes workplace technology, including computers, smartphones, multifunction printers, cloud-based filing systems, and collaboration tools.

Physical Demands:

This role requires physical capabilities that support the successful execution of key responsibilities. The employee regularly engages in verbal and written communication with colleagues and clients to address project-related inquiries and must be able to convey accurate information clearly and efficiently. The position involves remaining seated at a workstation for approximately 75% of the time, with occasional movement throughout the office to access equipment, supplies, and shared resources. Daily tasks include consistent use of computers and standard office technology such as keyboards, printers, and multifunction devices. The role also involves transporting equipment boxes weighing up to 25 pounds within the building and to other offsite locations as needed for project support.

Required Education and Experience:

• Bachelors Degree
• 1-3 years of experience, * Bachelor’s degree in engineering and at least 1-3 years of automation, machine vision, or machine learning experience in custom automation; or an equivalent combination of education, training, and experience
• Experience with Python in a Linux Environment.
• Industrial Machine Vision or Computer Vision experience.
• Machine vision specifying and programming
• Familiarity with machine learning frameworks.
• Understanding of data structures, data modelling, and software architecture.
• Proficiency in PLCs and HMIs.
• Write PLC to device software interface including implementation documentation and validation plan.
• Skilled in commissioning intelligent devices on Fieldbus networks (Ethernet I/P, ProfiNet, etc.) with exceptional troubleshooting skills.
• Robot programming experience. Interest in Robotics
• Strong communication skills both written and verbal.
• Outstanding analytical and problem-solving skills.
• Participate in internal and customer design reviews, installations, and service calls when needed.
• Able to communicate engineering concepts and ideas clearly (to builders, customers, and others)
• Passion for Robotics, Vision, and AI.

U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan and company contribution, short-term and long-term coverage, basic life insurance, and wellbeing benefits, among others. U.S.-based employees also receive, per calendar year, up to 6 scheduled paid holidays. Additionally, eligible hourly/non-exempt and exempt employees accrue up to 112 hours of PTO based on years of service and may annually take up to 8 hours of paid volunteer time. Additional paid sick leave is also provided if required by state or local law.