468662

Siemens Industry Software Limited, Taiwan Branch

Digital Industries

Research & Development

Experienced Professional

Full-time

Permanent

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more efficiently. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly sophisticated world of chip, board, and system design.

We are seeking a highly motivated software engineer of Calibre engineering team

Job qualifications:

1. MS/PhD in CS, EE or related subject area
2. Over 3+ years of experience in machine learning development
3. Proficient with C++ and machine learning frameworks like PyTorch, Tensorflow, Keras or scikit-learn are required
4. Prior experience or knowledge of IC design or EDA tools like DRC/LVS/RCX/PERC is a plus
5. Excellent English & Mandarin languages communication skill
6. With a growth mindset and strong creative problem-solving skill
7. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment

Job duties:

1. Chip in to the development of the Calibre platform and helping with the interaction with key engineers of leading semiconductor manufacturing companies based in Taiwan
2. Responsibilities will cover crafting, developing, debugging and supporting Calibre software
3. Collaborate with a broad team of software engineers, product engineers, and customers by supplying with new applications and improvements of existent components

Working at Siemens Software

Why us?

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

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