$122.10K - $143.90K/yr
Other
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Job description
Location: Fremont, CA
Job Description:
Key Skills: C#/C++ programming Computer vision tasks such as object detection, object tracking, segmentation analysis and depth estimation multi-threading, and network communication REST APIs and Familiarity with Database (SQL or NoSQL). Docker and/or Kubernetes.
What You'll Do:
As a Computer Vision Software Engineer, your tasks are focused on developing and testing image processing algorithms used in our robotic systems. The work covers the entire pipeline from data collection to training and testing models, as well as improving the existing algorithms. The robotic projects are multidisciplinary team efforts, and you get to work with electrical and mechanical engineers while developing your software piece.
The focus of the job is on equipment control for the semiconductor business. The primary area of work is C# programming with Microsoft Visual Studio 2022, targeting Windows 10, Linux operating systems. The projects all involve embedded software control of robotics and other motion related hardware. In addition, machine vision and machine learning technologies are being incorporated into the system. The following specific tasks will be performed during the project life cycle:
- Gather requirements, write specifications, and get specifications reviewed by team.
- Write specifications design, and get specifications reviewed by team.
- Implement the design with C#/C++ programming, and get code reviewed by team.
- Design test cases and run unit testing over software emulation and hardware.
- Integrate software components into the overall system and perform SQA testing.
- Work with the rest of the team, including ME, EE and SW engineers in system level integration.
- Document release features and application notes for customers.
- Support customers in their software integration, and in handling field escalations.
- Participate in team reviews on specifications, on code, on documentation and on test-cases.
- MS or BS in Science or equivalence of 5 years of work experience, with experience in Computer Vision and Image Processing.
- 3 years of experience in professional software development.
- 3 years of experience in programming C# and/or C++.
- Fluency in using UML for Object Oriented Analysis/Design, including state machines.
- Experience in programming multi-threading, and network communication.
- Experience in working on software in instrumentation or equipment control.
- Experience in customization of Linux operating system.
- Experience using GIT source control such as Microsoft DevOps.
- Experience in software applications and algorithms using machine vision.
- Experience in software applications and algorithms using machine learning.
- Hands on experience in developing new learning algorithms for computer vision tasks such as object detection, object tracking, segmentation analysis and depth estimation.
- Proficiency in programming languages such as Python and/or C#.
- Experience with developing REST APIs and Familiarity with Database (SQL or NoSQL).
- Experience with Containerization technology such as Docker and/or Kubernetes.
- Written and verbal communication skills to communicate design with the rest of the team.
- Experience with ML/DL frameworks such as TensorFlow, Pytorch etc. is a plus.
- Knowledge of current DL literature and the mathematical foundations of machine learning is a plus.
- Experience in working on robotics and motion control related software is a plus.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Computer Engineer?
A: To succeed as a Computer Engineer, key technical skills include proficiency in programming languages such as C++, Java, and Python, as well as expertise in computer architecture, algorithms, and data structures. Additionally, soft skills like strong problem-solving abilities, effective communication, and teamwork are crucial for collaborating with cross-functional teams and presenting complex technical ideas to stakeholders. By combining these technical and soft skills, Computer Engineers can design, develop, and implement innovative solutions, drive project success, and advance in their careers through leadership and technical expertise.
Q: What is the career path for a Computer Engineer?
A: A Computer Engineer's typical career progression involves starting as an entry-level Hardware or Software Engineer, progressing to mid-level roles such as Senior Engineer or Technical Lead, and eventually becoming a Senior Technical Lead or Engineering Manager. Along the way, they can develop skills in areas like embedded systems, artificial intelligence, cybersecurity, and project management, with opportunities to specialize in specific domains like robotics, networking, or data analytics. Long-term, Computer Engineers may pursue leadership roles, start their own companies, or transition into related fields like data science, product management, or research and development.