What are the responsibilities and job description for the Software, Computer Vision Engineer IV- hybrid position at A.C. Coy?
Overview
Location: Hybrid
Job Type: Full Time/Contract
Work Authorization: No Sponsorship
The A.C.Coy Company has an immediate need for a Computer Vision Engineer for a long term contract role. Qualified candidates will play a lead role in providing advanced workflow capability with integrated vision recognition, perception and automation which improves speed, feedback, safety, and productivity of our advanced compounding technology.
Responsibilities
- Collaborate with perception and vision experts on algorithm design, prototyping, testing, deployment and productization
- Collaborate on writing internal specifications related to vision architecture and providing input and recommendation on hardware sensor technology for optimal implementations
- Design and develop vision software utilizing C and C on embedded Linux environments following company and industry requirements and best practices
- Responsible for the analysis, design, programming, optimizing, debugging and modification of software programs related to vision algorithms
- Writes code, completes programming, and performs testing and debugging of applications using current programming language and technologies controlling hardware for hospital automation
- Perform software verification including code reviews, writing unit test cases, creating, and implementing automated testing, and running static analysis
- Leads and solves complex vision integration issues by analyzing critical factors and recommending corrective or alternative actions and resolutions
- Proactively maintain accurate documentation of concepts, designs, and implementations and a means to facilitate design reviews, and knowledge sharing among the team and stakeholders
- Interfaces with other engineers to define software design and state machine requirements
- Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors
- Supports, updates and creates new SW architectures to further feature development and existing system functionality
Qualifications
Education:
- Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience
- MS degree in Computer Science, Computer Vision or related technical field preferred
Required Knowledge and Skills
- 8 years of experience as software or firmware developer along with integration experience with Hardware and Software
- Minimum 5 years of imaging experience
- Experience using C in a Linux environment with embedded systems
- Experience developing and deployment of computer vision models or image recognition technologies and algorithms
- Experience with light sources, optics and multi sensor data for optimal image processing
- Ability to own direction, technical vision and strategy direction across multiple projects
- Experience and/or knowledge in characterizing and calibrating camera images sensors, optics, and illumination sources
- Drives design of complex features and new products. Contributes to vision/imaging technology strategy
- Owns direction, technical vision, and strategy direction across multiple projects
- Often serves as a consultant to management and external spokesperson for the SW organization related to vision implementations, feasibility, or prototyping efforts
- Good interpersonal communication skills, working within an Agile Development framework
Preferred Qualifications
- Knowledge and/or experience with state machines and stateless systems
- Experience in the medical device industry or other industries operating under a quality management system. Knowledge of ISO 13485, ISO 14971, ISO 62304 and CFR 820 a plus.
- Experience in the design of software driven electromechanical Class II medical devices.
- Experience with JIRA
- PhD degree in Computer Science, Computer Vision, Robotics or related technical field.
- Developing and designing Computer Vision technologies and systems for running on edge devices (custom hardware)
- Experience with Matrox Imaging Library
- Experience with SwiftDecoder and COIL Barcode Parsing
