As a core member of the development team you will be responsible for the development deployment and maintenance of automated simulation workflows using Python. Use simulation vendor software (ANSYS Cadence or related) APIs to create seamless automated simulation with the internal customer success team and key stakeholders employ an agile software development methodology to ensure that automated simulation workflows align with user requirements and are deployed promptly. Optimize simulation workflows for performance and scalability enabling efficient execution of large-scale simulations. Explore the use of machine learning techniques to develop predictive models based on simulation data and test dataStay up-to-date with the latest advancements in simulation techniques scripting languages simulation vendor software APIs and relevant machine learning algorithms.. Present simulation results workflow improvements and recommendations to engineering teams and management.
- Bachelors or Masters in EE CS or related field with 3 years relevant industry experience in simulation automation or software engineering.
- Strong background in automation workflows and scripting
- Experience with simulation vendor software: Ansys Cadence or related.
- Strong programming skills in Python including workflow orchestration and API integration
- Solid working knowledge of Linux-based development environments shell scripting and HPC systems
- Experience with software engineering best practices (Git testing documentation)
- Ability to collaborate in cross-functional teams and communicate results clearly
- Strong analytical/problem-solving skills with ability to optimize and scale workflows
- Experience with ML concepts and libraries (TensorFlow PyTorch)
- Familiarity with web frameworks/services for dashboards UIs or workflow services
- Prior experience with Agile methodology
- Experience presenting results and recommendations to leadership
- Self-motivated with ability to drive process improvements and innovation
- Interest in working in a fast-paced environment and building high-impact engineering tools
As a core member of the development team you will be responsible for the development deployment and maintenance of automated simulation workflows using Python. Use simulation vendor software (ANSYS Cadence or related) APIs to create seamless automated simulation with the internal customer success ...
As a core member of the development team you will be responsible for the development deployment and maintenance of automated simulation workflows using Python. Use simulation vendor software (ANSYS Cadence or related) APIs to create seamless automated simulation with the internal customer success team and key stakeholders employ an agile software development methodology to ensure that automated simulation workflows align with user requirements and are deployed promptly. Optimize simulation workflows for performance and scalability enabling efficient execution of large-scale simulations. Explore the use of machine learning techniques to develop predictive models based on simulation data and test dataStay up-to-date with the latest advancements in simulation techniques scripting languages simulation vendor software APIs and relevant machine learning algorithms.. Present simulation results workflow improvements and recommendations to engineering teams and management.
- Bachelors or Masters in EE CS or related field with 3 years relevant industry experience in simulation automation or software engineering.
- Strong background in automation workflows and scripting
- Experience with simulation vendor software: Ansys Cadence or related.
- Strong programming skills in Python including workflow orchestration and API integration
- Solid working knowledge of Linux-based development environments shell scripting and HPC systems
- Experience with software engineering best practices (Git testing documentation)
- Ability to collaborate in cross-functional teams and communicate results clearly
- Strong analytical/problem-solving skills with ability to optimize and scale workflows
- Experience with ML concepts and libraries (TensorFlow PyTorch)
- Familiarity with web frameworks/services for dashboards UIs or workflow services
- Prior experience with Agile methodology
- Experience presenting results and recommendations to leadership
- Self-motivated with ability to drive process improvements and innovation
- Interest in working in a fast-paced environment and building high-impact engineering tools
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