340 jobs for "Senior Software Engineer - Quicksilver - Distributed Key Value"

Principal Quality Engineer (CAE Cross-Domain)

At Cadence - Remote / Flexible

Posted on Oct 16

View job Apply on company site

Senior Engineer, Platform Security and Reliability

At Kairos Power - Remote / Flexible

Posted on Oct 13

View job Apply on company site

Principal Software Engineer, Site Reliability (Agentforce Ops)

At Salesforce - Remote / Flexible

Posted on Oct 30

View job Apply on company site

Principal Engineer, Autonomy Evaluation

At General Motors - Remote / Flexible

Posted on Nov 10

View job Apply on company site

Demo Architect, EMEA

At GitLab - Remote / Flexible

Posted on Oct 8

View job Apply on company site

Principal Software Engineer

At Atlassian - Remote / Flexible

Posted on Sep 24

View job Apply on company site

Principal Software Engineer

At Atlassian - Remote / Flexible

Posted on Sep 15

View job Apply on company site

Staff Software Engineer, iOS Platform

At Reddit - Remote / Flexible

Posted on Oct 21

View job Apply on company site

Sr. Software Engineer, Cloud Platform

At Samsara Inc. - Remote / Flexible

Posted on Jul 9

View job Apply on company site

Senior AI Engineer

At Infosys - Remote / Flexible

Posted on Nov 4

View job Apply on company site

Senior Security Engineer, Detection & Response

At Flexport - Remote / Flexible

Posted on Aug 28

View job Apply on company site

Senior Support Engineer

At GitLab - Remote / Flexible

Posted on Aug 18

View job Apply on company site

Senior Android Engineer

At YipitData - Remote / Flexible

Posted on Oct 6

View job Apply on company site

Senior Data Engineer - Global Team (India)

At YipitData - Remote / Flexible

Posted on Jul 11

View job Apply on company site

Senior Machine Learning Engineer

At Atlassian - Remote / Flexible

Posted on Nov 1

View job Apply on company site

Senior Mobile Android Engineer

At Atlassian - Remote / Flexible

Posted on Oct 21

View job Apply on company site

Senior Mobile iOS Engineer

At Atlassian - Remote / Flexible

Posted on Oct 21

View job Apply on company site

Senior ML Accelerator Engineer - GPU

At General Motors - Remote / Flexible

Posted on Oct 20

View job Apply on company site

Senior Machine Learning Engineer

At Atlassian - Remote / Flexible

Posted on Sep 15

View job Apply on company site

Senior Professional Services Engineer - PubSec - DC Metro

At GitLab - Remote / Flexible

Posted on Oct 27

View job Apply on company site

Cadence

Principal Quality Engineer (CAE Cross-Domain)

Remote / FlexibleScience and EngineeringPosted 28 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

Perks and Benefits

Health and Wellness
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- HSA with Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
- Health Insurance
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- Adoption Leave
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
- Volunteer Time Off
Financial and Retirement
- 401(k) With Company Matching
- Stock Purchase Program
- Performance Bonus
- Financial Counseling
Office Life and Perks
- Casual Dress
- On-Site Cafeteria
- Holiday Events
Professional Development
- Tuition Reimbursement
- Promote from Within
- Mentor Program
- Access to Online Courses
- Internship Program
- Leadership Training Program