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Software Engineer Enterprise Systems jobs at Apple in United States, Austin

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United States
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Austin
569 jobs found
03.08.2025
A

Apple FEA Simulation Engineer- Tools Automation Engineer United States, Texas, Austin

Limitless High-tech career opportunities - Expoint
Description:
As a core member of the team, you will be responsible for the development, deployment and maintenance of automated workflows for model creation, meshing, simulation execution, results processing, and report generation using Python and FEA software APIs.Use FEA solvers (ANSYS, ANSA, Abaqus or similar software) to create seamless automated simulation workflows.Develop and implement automated validation procedures to ensure the accuracy and reliability of simulation results.Optimize simulation workflows for performance and scalability, enabling efficient execution of large-scale simulations.Document and maintain simulation workflows, scripts, and APIs.Develop and validate Finite Element Analysis (FEA) models for simulating a wide range of physical phenomena, including but not limited to: structural mechanics, thermal analysis, fluid dynamics, and electromagnetic simulations.Compare simulation results with physical test data to validate models and improve simulation accuracy.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, material modeling, scripting languages, FEA software APIs, and relevant machine learning algorithms.Present simulation results, workflow improvements, and recommendations to engineering teams and management.
  • Master's degree in Mechanical Engineering or a related field along with 3+ years of relevant industry experience.
  • Expertise in Finite Element Analysis and computational mechanics.
  • At least 3 years of experience with at least one FEA software package: ANSYS, ANSA, Abaqus and or related software.
  • Fluency in Python.
  • Proficiency with Linux.
  • Strong understanding of engineering principles, including mechanics, heat transfer and fluid dynamics.
  • Knowledge of, or willingness to learn and work in, the electromagnetics domain.
  • Significant experience with FEA software APIs for model creation, customization, and workflow automation.
  • Proficiency in Python for automation and data analysis.
  • Experience with web frameworks and services.
  • Experience with version control systems (e.g., Git) for managing simulation scripts and models.
  • Excellent analytical and problem-solving skills, with a focus on process optimization.
  • Experience with machine learning concepts and libraries.
  • Strong communication and presentation skills.
  • Self-motivated to identify areas for improvement and drive innovation
  • Ability to work independently and as a part of a cross-functional team.
  • Desire to work in a fast-paced environment with passion for creating cutting edge products.
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03.08.2025
A

Apple Site Reliability Engineer Apple Ads United States, Texas, Austin

Limitless High-tech career opportunities - Expoint
Description:
• Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation• Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization• Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources• Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale• Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domainsPartner with cross-functional leaders to align analytics initiatives with strategic objectives• Evangelize data science best practices and help embed a data-informed culture across teams• Lead through influence — balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
  • Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
  • 7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles
  • 2+ years of experience leading and mentoring data-focused teams
  • Proficiency in SQL and at least one programming language (e.g., Python, R)
  • Strong background in experimentation design, causal inference, and statistical analysis
  • Experience working with large-scale data pipelines and production-level analytics systems
  • Proven ability to drive measurable business impact through data and automation
  • Experience with building robust monitoring systems to track data and model health in production
  • Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
  • Ability to connect insights to business outcomes and influence strategy
  • Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML ops tooling
  • Passion for fostering inclusive team environments and valuing diverse perspectives
  • Clear communicator who can translate complex technical concepts into actionable business language
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03.08.2025
A

Apple Software Development Engineer Test - Retail Engineering AOS United States, Texas, Austin

Limitless High-tech career opportunities - Expoint
Description:
Your role is critical in ensuring that new features implemented on the Apple online store (www.apple.com/shop) not only meet functional requirements but also uphold the exceptional standards expected of a thriving eCommerce platform.
Design, develop, and maintain automated test frameworks and suites using Java-based frameworks such as JUnit and TestNG to validate backend functionality of our eCommerce platform.• Collaborate closely with software engineers, product managers, and other stakeholders to understand requirements and ensure comprehensive test coverage.• Implement and execute test plans and test cases to thoroughly validate application functionality.• Perform API testing using tools like REST Assured to verify data integrity and the functionality of backend services.• Participate in code reviews and provide feedback to enhance testability and maintainability of the codebase.• Engage actively in post-mortem discussions to identify root causes and strategize on preventing recurrence of issues; take a proactive role in analyzing and mitigating potential risks.• As a Software Development Engineer in Test, define testing requirements and propose solutions to optimize testing processes with a strong sense of ownership. Participate in technical discussions to understand software workflows and use cases, ensuring testability is embedded throughout the system.• Self-motivated and quick to grasp complex issues; able to make sound, critical judgments even with incomplete requirements.Provide timely and accurate updates on testing status and quality metrics to stakeholders throughout all testing phases, and compile a summary of quality outcomes upon project completion.Apply strong analytical and problem-solving skills to debug and resolve complex technical issues effectively. Advocate for high-quality software testing practices within the team and promote adoption of development methodologies that drive overall software quality.Adapt quickly and effectively in fast-paced environments with frequent context switching.
  • Bachelor’s degree in computer science or a related field, OR equivalent work experience
  • Strong knowledge of software development lifecycle, testing methodologies, QA terminology and processes.
  • Proven experience as an SDET or similar role, with a focus on testing eCommerce platforms or large-scale web applications.
  • Proficiency in programming languages such as Java.
  • 5+ years experience with Junit/TestNG, Jenkins, Gradle, SQL, JSON
  • Expertise in building and maintaining test beds, test environments and automated data driven test suite
  • Solid understanding of web technologies including HTML, CSS, JavaScript, and HTTP/HTTPS protocols.
  • Solid understanding of NoSQLs like MongoDB, ElasticSearch, Cassandra, DynamoDB, etc and
  • caching strategies
  • Experience with Git for version control.
  • Familiarity with Selenium, Postman, Appium, and SOAP UI for web automation is a plus
  • Familiarity with performance testing tools (e.g., JMeter, Gatling) and techniques.
  • Familiarity with cloud platforms like AWS and containerization technologies (e.g., Docker, Kubernetes) is a plus.
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02.08.2025
A

Apple Software Engineering Applications QE Security United States, Texas, Austin

Limitless High-tech career opportunities - Expoint
Description:
  • Proficiency with programming in Java
  • Knowledge of Data Driven Testing or Behavioural Driven Development test frameworks
  • Experience developing test automation with: TestNG, JMeter, Selenium
  • Solid grasp on REST API fundamentals, best practices and it’s testing concepts
  • Skilled in Unix/Linux environments
  • Capable of reading/writing QE tools in bash/perl/python
  • Familiarity with building test plans and automation for complex full stack applications
  • Strong understanding of QE methodologies and SDLC best practices
  • A flair for QE automation for high quality and fast release validations
  • Good understanding of database technologies including relational and noSQL solutions
  • Competency with debugging and root cause analysis
  • Self-motivated, proactive, and detail-oriented individual, with excellent written and oral English communication skills
  • Proven time-management skills
  • Understanding of security concepts such as PKI, X.509, ASN.1, key exchange protocols, and authentication protocols
  • Ability to read and critique software architecture/designs to increase testability and maintainability
  • Strong analytical, problem solving and troubleshooting skills
  • Experience with performance and scalability testing
  • Up-to-date with current and up-coming QE technologies and frameworks
  • Understanding of continuous integration and build concepts
  • Passion for driving quality into every aspect of a project
  • Ability to work with cross functional and globally distributed teams
  • Familiar with Agile workflow management
  • BS in Computer Science or equivalent
  • 3+ years of experience in relevant fields
Expand
Limitless High-tech career opportunities - Expoint
Description:
As a core member of the team, you will be responsible for the development, deployment and maintenance of automated workflows for model creation, meshing, simulation execution, results processing, and report generation using Python and FEA software APIs.Use FEA solvers (ANSYS, ANSA, Abaqus or similar software) to create seamless automated simulation workflows.Develop and implement automated validation procedures to ensure the accuracy and reliability of simulation results.Optimize simulation workflows for performance and scalability, enabling efficient execution of large-scale simulations.Document and maintain simulation workflows, scripts, and APIs.Develop and validate Finite Element Analysis (FEA) models for simulating a wide range of physical phenomena, including but not limited to: structural mechanics, thermal analysis, fluid dynamics, and electromagnetic simulations.Compare simulation results with physical test data to validate models and improve simulation accuracy.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, material modeling, scripting languages, FEA software APIs, and relevant machine learning algorithms.Present simulation results, workflow improvements, and recommendations to engineering teams and management.
  • Master's degree in Mechanical Engineering or a related field along with 3+ years of relevant industry experience.
  • Expertise in Finite Element Analysis and computational mechanics.
  • At least 3 years of experience with at least one FEA software package: ANSYS, ANSA, Abaqus and or related software.
  • Fluency in Python.
  • Proficiency with Linux.
  • Strong understanding of engineering principles, including mechanics, heat transfer and fluid dynamics.
  • Knowledge of, or willingness to learn and work in, the electromagnetics domain.
  • Significant experience with FEA software APIs for model creation, customization, and workflow automation.
  • Proficiency in Python for automation and data analysis.
  • Experience with web frameworks and services.
  • Experience with version control systems (e.g., Git) for managing simulation scripts and models.
  • Excellent analytical and problem-solving skills, with a focus on process optimization.
  • Experience with machine learning concepts and libraries.
  • Strong communication and presentation skills.
  • Self-motivated to identify areas for improvement and drive innovation
  • Ability to work independently and as a part of a cross-functional team.
  • Desire to work in a fast-paced environment with passion for creating cutting edge products.
Expand
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