Simulation Tools and Automation Engineer
Apple
Simulation Tools and Automation Engineer
Job Description
Are you seeking a position that will impact the lives of millions of Apple customers? At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. We are committed to pushing the boundaries of innovation and democratize engineering simulations. Apple Hardware Operations is seeking Simulation Tools and Automation Engineer to join our team. Your primary focus will be on leveraging simulation vendor software (ANSYS, Cadence or related) APIs to create robust, efficient, and scalable fully automated simulation workflows. As a member of the a central cross-functional team, you will play a pivotal role in developing innovative solutions that directly impact the success of new iPhone, iPad, Mac, Apple Watch, Vision Pro and many more future products. Please come and join us! 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 workflows. Collaborating 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 data Stay 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.
Locations
- Austin, Texas, United States 78727
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- proficiency in Pythonintermediate
- experience with ANSYS APIsintermediate
- experience with Cadence APIsintermediate
- simulation vendor software APIsintermediate
- agile software development methodologyintermediate
- developing automated simulation workflowsintermediate
- optimizing simulation workflows for performance and scalabilityintermediate
- machine learning techniquesintermediate
- developing predictive modelsintermediate
- simulation techniquesintermediate
- scripting languagesintermediate
- machine learning algorithmsintermediate
- collaborating with cross-functional teamsintermediate
- presenting to engineering teams and managementintermediate
Required Qualifications
- Bachelor's or Master's in EE, CS or related field with 3+ years relevant industry experience in simulation automation or software engineering. (experience, 3 years)
- Strong background in automation workflows and scripting (experience)
- Experience with simulation vendor software: Ansys, Cadence or related. (experience)
- Strong programming skills in Python, including workflow orchestration, and API integration (experience)
- Solid working knowledge of Linux-based development environments, shell scripting, and HPC systems (experience)
- Experience with software engineering best practices (Git, testing, documentation) (experience)
- Ability to collaborate in cross-functional teams and communicate results clearly (experience)
Preferred Qualifications
- Strong analytical/problem-solving skills with ability to optimize and scale workflows (experience)
- Experience with ML concepts and libraries (TensorFlow, PyTorch) (experience)
- Familiarity with web frameworks/services for dashboards, UIs, or workflow services (experience)
- Prior experience with Agile methodology (experience)
- Experience presenting results and recommendations to leadership (experience)
- Self-motivated, with ability to drive process improvements and innovation (experience)
- Interest in working in a fast-paced environment and building high-impact engineering tools (experience)
Responsibilities
- 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 workflows.
- Collaborating 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 data
- Stay 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.
Tags & Categories
Answer 10 quick questions to check your fit for Simulation Tools and Automation Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Simulation Tools and Automation Engineer
Apple
Simulation Tools and Automation Engineer
Job Description
Are you seeking a position that will impact the lives of millions of Apple customers? At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. We are committed to pushing the boundaries of innovation and democratize engineering simulations. Apple Hardware Operations is seeking Simulation Tools and Automation Engineer to join our team. Your primary focus will be on leveraging simulation vendor software (ANSYS, Cadence or related) APIs to create robust, efficient, and scalable fully automated simulation workflows. As a member of the a central cross-functional team, you will play a pivotal role in developing innovative solutions that directly impact the success of new iPhone, iPad, Mac, Apple Watch, Vision Pro and many more future products. Please come and join us! 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 workflows. Collaborating 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 data Stay 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.
Locations
- Austin, Texas, United States 78727
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- proficiency in Pythonintermediate
- experience with ANSYS APIsintermediate
- experience with Cadence APIsintermediate
- simulation vendor software APIsintermediate
- agile software development methodologyintermediate
- developing automated simulation workflowsintermediate
- optimizing simulation workflows for performance and scalabilityintermediate
- machine learning techniquesintermediate
- developing predictive modelsintermediate
- simulation techniquesintermediate
- scripting languagesintermediate
- machine learning algorithmsintermediate
- collaborating with cross-functional teamsintermediate
- presenting to engineering teams and managementintermediate
Required Qualifications
- Bachelor's or Master's in EE, CS or related field with 3+ years relevant industry experience in simulation automation or software engineering. (experience, 3 years)
- Strong background in automation workflows and scripting (experience)
- Experience with simulation vendor software: Ansys, Cadence or related. (experience)
- Strong programming skills in Python, including workflow orchestration, and API integration (experience)
- Solid working knowledge of Linux-based development environments, shell scripting, and HPC systems (experience)
- Experience with software engineering best practices (Git, testing, documentation) (experience)
- Ability to collaborate in cross-functional teams and communicate results clearly (experience)
Preferred Qualifications
- Strong analytical/problem-solving skills with ability to optimize and scale workflows (experience)
- Experience with ML concepts and libraries (TensorFlow, PyTorch) (experience)
- Familiarity with web frameworks/services for dashboards, UIs, or workflow services (experience)
- Prior experience with Agile methodology (experience)
- Experience presenting results and recommendations to leadership (experience)
- Self-motivated, with ability to drive process improvements and innovation (experience)
- Interest in working in a fast-paced environment and building high-impact engineering tools (experience)
Responsibilities
- 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 workflows.
- Collaborating 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 data
- Stay 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.
Tags & Categories
Answer 10 quick questions to check your fit for Simulation Tools and Automation Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs