Lead Software Engineer, Computer Graphics

We are looking for an experienced Lead Software Engineer to join our team as a Computer Graphics Product Owner for high-performance, interactive, cloud-based, CAD/CAM applications and AI models development, integration and deployment. This individual combines people leadership with end-to-end product ownership: building and growing a computer graphics engineering team, turning customer and clinical needs into clear requirements and design specifications, and steering features from idea to release across multiple epics. The role pairs strong 3D graphics domain knowledge with modern, AI-augmented ways of working to deliver quickly and with quality.

This is a hybrid position which requires working in the office 4 days per week.

People Leadership & Chapter Development

• Lead and grow a computer graphics team: hiring, onboarding, coaching, performance feedback and career development.
• Define team standards, learning paths and best practices for 3D graphics and AI-assisted engineering.
• Build a culture of ownership, fast learning and responsible use of AI tools within and across teams.
• Mentor engineers across multiple teams as a technical coach and advisor.

Product Ownership & Delivery

• Own the computer graphics product backlog and roadmap; translate customer, clinical and business needs into prioritized epics, requirements and acceptance criteria.
• Write and maintain design specifications, technical requirements and success metrics; run discovery, prototyping and validation with users.
• Plan, track and de-risk delivery across multiple epics, coordinating scope, timelines, dependencies and resources.
• Run fast product-development cycles (rapid prototyping, short feedback loops, incremental releases) from concept to production.
• Drive cross-functional alignment between Product, UX, Clinical, Quality/Regulatory and Infrastructure teams.

AI-Enabled Ways of Working

• Introduce and champion multi-agent coding workflows (e.g., coding, review, test and documentation agents) with clear human oversight, guardrails and quality gates.
• Identify and scope opportunities to embed AI features (e.g., 3D data analysis, automation, intelligent assistance) in the product, and own their value, risk and rollout.
• Define metrics for AI-assisted productivity, quality and cost, and use them to continuously improve the process.

Communication & Impact

• Present product strategy, roadmaps and complex technical trade-offs to diverse stakeholder groups, including leadership.
• Drive alignment on priorities and technical decisions across multiple teams and geographies.
• Provide company-wide mentorship and contribute to technical and product direction.

Education:

• Bachelor's degree (and >12 years of work), Master's degree (and >10 years of work), or PhD (and > 7 years of work) in Computer Science, Software Engineering, or related fields (algorithmic, mathematical, or numerical background) with strong industry experience, or relevant experience.

Years and Type of Experience:

• 8+ years of engineering experience, including product-facing delivery of 3D computer graphics or CAD/CAM software.
• Experience in people management or chapter/team leadership (hiring, coaching, performance and career development).
• Experience as a product owner (or equivalent): backlog ownership, roadmap, requirements and design specifications.
• Experience managing projects across multiple teams and epics, end to end from concept to release.
• Experience working with AI coding assistants or agents in day-to-day development; experience shipping AI-enabled features is advantageous.
• Experience in medical device development is a plus.
• Track record of successful product launches and of growing high-performing engineers is a plus.

Key Skills, Knowledge & Capabilities:

• Strong people leadership: coaching, feedback, team building and conflict resolution.
• Strong product ownership skills: discovery, prioritization, requirements engineering, specification writing and stakeholder management.
• Strong project and delivery management skills (planning, estimation, risk and dependency management, agile at scale).
• Fast product development mindset: rapid prototyping, MVP thinking, experimentation and data-informed iteration.
• Hands-on working knowledge of multi-agent and agentic coding tools and workflows (task decomposition, prompt/context engineering, review and verification of AI-generated code).
• Working knowledge of AI development and deployment concepts (AI training, evaluation, monitoring, cost, privacy and safety considerations).
• Solid knowledge of 3D computer graphics and the mathematics behind it, sufficient to guide technical direction and evaluate trade-offs.
• Working knowledge of C++, cloud computing (e.g., GCP, Kubernetes) and CI/CD sufficient to partner effectively with engineering teams.
• Proven cross-functional leadership and clear communication with technical and non-technical stakeholders.
• Good knowledge of English, both written and spoken. German language skills are advantageous.
• Experience with regulatory compliance (e.g., medical device software) is advantageous.
• Nice to have: experience introducing or operating an agentic SDLC, where AI agents support requirements, specification, development, review, testing and documentation with defined human oversight, quality gates, success metrics, and traceability of AI-generated artifacts in a regulated (e.g., medical device) context.
• Industry recognition and thought leadership is a plus.

The base salary and target annual incentive for this role located in Waltham, Massachusetts is between $183,700 - $205,700. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location.