113 jobs for "Technical Lead Simulation Engineering SIL/HIL, Cuda/Opencl"

Principal Quality Engineer (CAE Cross-Domain)

At Cadence - Remote / Flexible

Posted on Oct 16

View job Apply on company site

Sr. Software Engineering Manager (Geometry/Meshing)

At Cadence - Remote / Flexible

Posted on Oct 12

View job Apply on company site

Senior Engineering Manager - Adaptive Bench Compute

At General Motors - Seattle

Posted on Oct 28

View job Apply on company site

Technical Program Manager, iPhone

At Apple - Suzhou

Posted on Oct 15

View job Apply on company site

Senior Engineer II, Electromechanics / Electrotechnology Technical Lead

At Schneider Electric - Apodaca

Posted on Oct 16

View job Apply on company site

Senior RF Engineer

At General Motors - Warren

Posted on Oct 27

View job Apply on company site

Silicon Supplier Excellence Engineer

At Apple - Boulder

Posted on Oct 14

View job Apply on company site

Staff Fullstack Developer- Simulation

At General Motors - Markham

Posted on Oct 27

View job Apply on company site

Silicon Supplier Excellence Engineer

At Apple - Austin

Posted on Oct 12

View job Apply on company site

Tooling Engineer-1

At Flex - Libertyville

Posted on Nov 4

View job Apply on company site

Electrical Engineer

At Aptiv - Krakow

Posted on Nov 6

View job Apply on company site

R&D Senior Structural Engineer for Simulation

At Hitachi Energy - Hefei

Posted on Nov 4

View job Apply on company site

Sr Automation Engineer - Warehouse Automation Software, Integration & Digital Twin

At Jabil - Saint Petersburg

Posted on Nov 2

View job Apply on company site

Applications Engineering, Sr Staff Engineer (SI/ PI)

At Ansys - Taipei

Posted on Nov 6

View job Apply on company site

Principal Application Engineer- Electromagnetics, Power & Systems

At Ansys - USA Off-

Posted on Nov 3

View job Apply on company site

TR electrical engineer

At Hitachi Energy - Chongqing

Posted on Oct 31

View job Apply on company site

ECAD Engineer

At Aptiv - Krakow

Posted on Oct 29

View job Apply on company site

Senior Staff Applications Engineer, Electromagnetics

At Ansys - Sunnyvale

Posted on Oct 29

View job Apply on company site

System Architect - Power Quality and Grid Solutions

At Hitachi Energy - Vaesteras

Posted on Oct 27

View job Apply on company site

Staff Mechanical Engineer - Future Opportunity

At Intuitive - Sunnyvale

Posted on Oct 22

View job Apply on company site

Cadence

Principal Quality Engineer (CAE Cross-Domain)

Remote / FlexiblePosted 24 days ago

Apply on company site View full job

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Position SummaryWe are seeking a Principal QA Engineer with strong CAE simulation software experience, deep quality engineering expertise, hands-on Python automation skills, and practical understanding of modern AI-assisted engineering practices. This role is responsible for defining and executing effective test strategies for Apex and related CAE products, validating complex engineering workflows, improving automation coverage, and driving high-quality release outcomes. The successful candidate will act as a senior quality authority who can work closely with development, product management, QA, application engineering, and customer-facing teams to identify risks early, strengthen validation practices, investigate complex issues, and ensure that CAE workflows are reliable, usable, performant, and technically accurate.Key Responsibilities• Lead, coach, and develop a team of QA engineers, establishing clear priorities, ownership, and expectations.• Provide day-to-day technical guidance while encouraging independent problem solving, collaboration, and continuous learning.• Own the team's test strategy, release qualification approach, automation roadmap, and quality improvement plans.• Plan and balance testing activities across new features, regression, integration, performance, scalability, and end-to-end customer workflows.• Partner with development and product management to clarify requirements, identify quality risks early, and define appropriate validation coverage.• Review test plans, automation designs, engineering models, defect reports, and release-readiness evidence.• Remain hands-on in complex technical investigations, high-risk validation, customer-reported issues, and critical release decisions.• Drive the creation and maintenance of robust Python-based test automation and sustainable automation frameworks.• Use quality metrics and engineering evidence to communicate product status, risks, dependencies, and recommended actions to stakeholders.• Improve QA processes, test effectiveness, traceability, execution efficiency, and cross-team consistency.• Promote Agile collaboration through effective planning, reviews, retrospectives, and follow-through on improvement actions.• Coordinate effectively with global teams across time zones and support a respectful, inclusive, and accountable team culture.AI Leadership and Modern QA Practices• Guide the practical and responsible adoption of AI-assisted tools for test design, code generation, defect analysis, documentation, and quality reporting.• Ensure AI-generated code, test cases, summaries, and engineering outputs are reviewed, verified, traceable, and appropriate for their intended use.• Identify use cases where AI can improve test coverage, productivity, defect discovery, and knowledge sharing without weakening engineering judgment.• Help the team understand the capabilities, limitations, and risks of Generative AI and Large Language Models.• Protect confidential information and reinforce organizational policies when using external or enterprise AI tools.• Encourage experimentation with measurable outcomes and share effective AI-enabled QA practices across teams.Required QualificationsEducation• Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Automotive Engineering, Computer Science, or a related discipline.• Master's degree preferred.Experience• 12+ years of experience in software quality assurance, CAE simulation software validation, test strategy, release qualification, automation, or related engineering software domains.• Strong experience in software quality assurance, test strategy, release qualification, and defect management.• Proven ability to define detailed test plans, validation workflows, acceptance criteria, defect analysis approaches, and release-readiness evidence for complex engineering applications.• Demonstrated ability to provide technical leadership, coaching, feedback, and team-development support while promoting accountability and collaboration.• Strong engineering judgment, structured problem-solving skills, and ability to make evidence-based quality recommendations in complex technical situations.• Clear verbal and written English communication skills, with experience creating clarity across global teams and supporting changing priorities.• Customer-focused mindset, curiosity, humility, and willingness to learn and apply emerging technologies responsibly.Technical Skills• Strong understanding of FEA theory, structural mechanics, strength of materials, engineering simulation, and engineering design concepts.• Hands-on Python experience and a solid understanding of test automation architecture and maintainability.• Experience with one or more commercial CAE tools such as MSC Apex, MSC Patran, MSC Nastran, HyperMesh, ANSYS, or ANSA.• Experience validating engineering software, CAE applications, numerical workflows, or complex desktop products is highly desirable.• Understanding functional, regression, integration, performance, scalability, and end-to-end testing.• Familiarity with Agile software development and continuous improvement practices.Preferred AI Experience• Practical familiarity with AI-assisted tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or comparable technologies.• Understanding Generative AI and Large Language Model concepts, including accuracy, consistency, privacy, security, and validation considerations.• Experience introducing AI-assisted development or testing practices within an engineering team is a plus.• Ability to distinguish between tasks suitable for AI assistance and tasks requiring direct domain expertise or formal verification.N/A

We're doing work that matters. Help us solve what others can't.

About Cadence

Cadence is a pivotal leader in computational software.

Size: 10,000+ employees
Industry: Technology

View company profile