דרושים » תוכנה » Testers Jigs Support Engineer

Requirements:
Bachelors degree in Biomedical, Electrical, Mechanical Engineering, or a related technical field.
Fast and self-directed learner with strong technical aptitude and the ability to quickly understand complex systems and emerging technologies.
3+ years of experience in technical support, service engineering, field service, or operations engineering with hands-on troubleshooting experience with complex hardware, software, and system-level issues.
Excellent verbal and written communication skills in English with the ability to clearly communicate complex technical information to diverse audiences.
Process-oriented mindset with a strong focus on root-cause analysis and continuous improvement.
Strong writing skills, including the ability to create clear service documentation, troubleshooting guides, and knowledge-base articles.
Demonstrated ability to deliver effective technical training and knowledge-transfer sessions.
Proactive, customer-focused team player with strong interpersonal skills and a collaborative approach.
Ability to work independently and collaboratively in a global, cross-functional environment.
Willingness and ability to travel internationally as required.
Advantages:
Hands-on experience with Medical Equipment systems.
Experience working in hospital or clinical environments.
Lean/Six Sigma certification or experience in continuous improvement projects.
CRM experience.

Requirements:
B.Sc. degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Physics, Computer Engineering, or a related field.
3+ years of experience in Application Engineering, Systems Engineering, Field Engineering, Technical Support, or similar customer-facing technical roles.
Experience with electro-optical systems, imaging systems, sensors, cameras, or defence -related technologies - advantage.
Strong system-level understanding and troubleshooting capabilities.
Experience working directly with customers and international partners.
Excellent verbal and written communication skills in English.
Ability to travel internationally as required.
Preferred Qualifications:
Experience with EO/IR payloads, thermal imaging systems, or LWIR cameras.
Familiarity with UAV/UAS platforms and drone applications.
Knowledge of communication interfaces.
Experience with system integration, validation, and field testing.
Background in defence, aerospace, homeland security, or robotics applications.
Experience with Python, MATLAB, or diagnostic/debugging tools- advantage.

Requirements:
Required Qualifications:
* B.Sc. or M.Sc. in Electrical Engineering, Materials Engineering, Industrial Engineering (with semiconductor background), Computer Engineering, or a related discipline.
* 5+ years of experience in Product Engineering within the semiconductor industry.
* Strong understanding of semiconductor manufacturing processes and CMOS technologies.
* Knowledge of semiconductor device physics and fabrication processes.
* Experience with product qualification, reliability testing, and characterization data analysis.
* Familiarity with semiconductor packaging and assembly technologies.
* Understanding of Failure Analysis methodologies and common FA techniques.
* Knowledge of JEDEC qualification and reliability standards.
* Experience with statistical analysis, Design of Experiments (DOE), and yield analysis.
* Proficiency with Microsoft Office tools, including Excel and Project.
* Strong analytical and problem-solving skills.
* Ability to manage multiple activities independently while collaborating across global teams.
* Excellent communication skills in English. Nice to Have
* Background in semiconductor device physics.
* Experience with Electrical Test (ET) analysis.
* Hands-on Failure Analysis (FA) experience.
* Knowledge of assembly design rules (Assembly DR).
* Understanding of ASIC/VLSI design flow.
* Experience with scripting languages (Python, Perl, TCL, or similar).
* Experience working directly with foundries and OSAT partners.
Why Join Nuvoton? At Nuvoton, you'll work on cutting-edge semiconductor products alongside highly experienced engineers in a collaborative environment. You'll have the opportunity to influence products from early development through mass production while working with leading global customers and advanced manufacturing technologies.

Requirements:
Bachelors degree in Electrical Engineering or a related field.

5+ years of experience in package, PCB, or high‑speed design engineering.

Strong understanding of high-speed signal design and power distribution networks (PDN).

Familiarity with industry-standard EDA tools for layout and design.

Strong communication skills with the ability to collaborate and coordinate effectively with cross-functional teams

Requirements:
Advanced degree (Masters or PhD) in Computer Science, Electrical Engineering, Mechanical Engineering, Mathematics, or a related field.
5+ years of experience in algorithm development, with a strong track record in classical computer vision, image processing, and 3D/geometric computer vision.
Hands-on experience developing camera-based computer vision algorithms, including areas such as camera calibration, SLAM, visual odometry, 3D vision, pose estimation, or related geometric vision techniques.
Hands-on experience in the full development lifecycle - from concept and algorithm design through implementation, testing, optimization, integration, and deployment.
Solid mathematical foundation, with a strong understanding of geometry and its application to computer vision problems.
Proficiency in Python and/or C++.
Experience in robotics, control systems, autonomous navigation, sensor fusion, or medical devices - an advantage.
Experience with Deep Learning and modern learning-based computer vision methods - an advantage.
Experience with validation of algorithm solutions for medical devices - an advantage.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Requirements:
What we need to see:

An Electronics Engineer certificate or a B.Sc. in Electrical Engineering.

You should have 5 years of hands-on Full-chip layout and Physical Verification experience, demonstrating your proven expertise.

A strong background in Physical Verification methodologies, including DRC, LVS, ANT, ERC, and DFM for advanced process nodes, is required.

Knowledge in scripts' language: TCL, Unix and Shell.

Experience in Linux environments.

AI tools orientation or alternatively a desire to learn.

Familiarity with physical build EDA tools, including Synopsys (ICC2/FC) and Cadence (Innovus).

Familiarity with Physical Verification tools: Synopsys (ICV), Siemens (Calibre).

Self-motivation, attention to detail and good interpersonal skills.


Ways to stand out from the crowd:

Experience in methodology definition / flow owner of Full-chip / Place and Route.

Great teammate.

Ownership, self-learning skills and ability to work autonomously.