Software Engineer - Principal

Siemens•Austin, TX

2h•Hybrid

About The Position

Questa Verification IQ (QVIQ) is Siemens’ next-generation web-based collaborative verification management product. It integrates with simulation, formal verification, compute-grid, and CI/CD systems to help teams manage increasingly complex verification projects, with performance, scalability, usability, and seamless workflow integration as critical priorities. The Digital Verification Technologies division is seeking a senior R&D Product Lead for QVIQ. The role drives product success from an R&D perspective and partners with Product Management, Product Engineering, architects, and development teams to define product priorities, support customer adoption, and ensure integration within the broader Siemens EDA verification portfolio. The position combines technical understanding, product leadership, customer engagement, and business acumen, with primary ownership of product direction, customer value, and market success. The role is based in Austin, Texas, and is hybrid (remote/office). It is a permanent, full-time position.

Requirements

18+ years of experience in enterprise software development, product leadership, technical product ownership, or related roles.
Proven track record of leading complex software products and delivering customer-focused outcomes.
Strong understanding of enterprise software architectures, web applications, APIs, distributed systems, and software development lifecycles.
Practical knowledge of modern enterprise platform technologies, including Java, Spring Framework, RESTful services, Angular and/or React, SQL/NoSQL databases, and Linux-based environments.
Experience with software integrations, platform ecosystems, and data-intensive applications.
Ability to engage with architects and engineering teams on technical trade-offs, deployment models, scalability considerations, and integration strategies.
Experience working closely with Product Management, Engineering, Sales, Customer Success, and executive stakeholders.
Strong customer-facing, communication, presentation, and stakeholder-management skills.
Demonstrated ability to influence cross-functional teams and balance customer needs, business priorities, and technical considerations.
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Electronics Engineering, Artificial Intelligence, or a related technical field from an accredited institution.

Nice To Haves

Knowledge of digital design and verification methodologies.
Experience with simulation, formal verification, coverage analysis, regression management, or verification management solutions.
Understanding of semiconductor development workflows and verification organizations.
Familiarity with cloud platforms, Kubernetes, CI/CD systems, and distributed computing environments.
Exposure to AI-assisted engineering workflows, analytics platforms, or data-driven products.
Familiarity with Siemens EDA solutions and verification technologies.

Responsibilities

Drive QVIQ product strategy and roadmap execution in partnership with Product Management and Product Engineering.
Collaborate with customers, field teams, and strategic accounts to understand requirements, adoption challenges, and future needs.
Define and drive QVIQ’s integration strategy across Siemens EDA products, verification flows, CI/CD environments, and third-party ecosystems.
Translate customer and business requirements into product priorities and engineering investments.
Lead cross-functional initiatives involving R&D, Product Management, Product Engineering, UX, and customer-facing teams.
Champion customer success by ensuring product capabilities address real-world verification challenges and deliver measurable value.
Partner with architects and engineering teams to align customer requirements, technical feasibility, scalability goals, and delivery commitments.
Provide product and technical leadership for capabilities built on enterprise technologies, including Java, Spring Boot, REST APIs, Angular or React, SQL/NoSQL databases, distributed systems, and cloud-native platforms.
Support customer engagements, executive reviews, product demonstrations, and strategic evaluations.
Drive alignment between product vision, release planning, and engineering execution across globally distributed teams.
Identify market trends, competitive opportunities, and emerging technologies, including AI-driven workflows and analytics, that may influence product direction.