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VP, Software Engineering
Photonic Inc.. Define and lead the software strategy enabling Photonic's path from research to scalable quantum computing systems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI-enabled engineering transformations and building high-performing software engineering organizations. Proficient in software-hardware co-development, modern software architecture, and connecting software investments to business priorities.
Highest-signal resume keywords
AI-Enabled Engineering TransformationSoftware-Hardware Co-DevelopmentBuilding High-Performing Engineering CulturesModern Software ArchitectureQuantum Computing Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Lifecycle ManagementAutomationDeveloper PlatformsAI-Enabled Development ToolsComplex Technical ProductsEngineering Productivity ImprovementTechnical GovernanceRisk ManagementSimulationCompilers
Soft Skills
LeadershipCommunicationChange ManagementAccountabilityInnovation
Industry Keywords
Quantum ComputingPhotonicsSemiconductorsScientific ComputingDeep-Tech Environments
About the role
Key responsibilities & impact- Define and lead the software strategy enabling Photonic's path from research to scalable quantum computing systems
- Oversee software engineering across core platforms, simulations, compilers, AI, development infrastructure, and software-hardware co-development practices
- Build, lead, and scale a world-class software engineering organization across software systems, simulation, compilers, AI, and software infrastructure
- Lead adoption of AI-assisted and agentic development across Photonic, including strategy, operating model, tooling, governance, and organizational changes
- Build platforms, workflows, and enablement practices to scale AI adoption while improving quality, security, and developer effectiveness
- Identify and prioritize opportunities to improve engineering productivity, reduce development latency, shorten learning cycles, and accelerate technical progress
- Define and execute software strategy supporting engineering, product, and commercialization objectives
- Partner with Product and Program Management on end-to-end development processes spanning requirements, prioritization, development, validation, and delivery
- Partner with hardware, systems, integrated photonics, and research teams on software-hardware co-development and scaling software capabilities with platform complexity
- Build and mentor a software leadership team while establishing engineering practices, technical governance, tooling, automation, execution discipline, and proactive risk management
- Partner with hardware, systems, integrated photonics, product, and research leaders to accelerate innovation and enable delivery of sophisticated quantum computing systems
Requirements
What you’ll need- Proven success leading AI-enabled engineering transformation, including the adoption of AI-assisted and agentic development practices that delivered measurable improvements in productivity, quality, velocity, or organizational effectiveness
- Experience building and scaling software engineering organizations responsible for complex technical products, platforms, or development ecosystems
- Strong technical credibility across modern software architecture, developer platforms, AI-enabled development tools, automation, and software lifecycle management
- Demonstrated success building high-performing engineering cultures that balance innovation, execution, accountability, and technical excellence
- Experience leading software organizations supporting complex hardware, scientific computing, semiconductors, deep-tech platforms, or similarly integrated technical systems
- Deep understanding of software-hardware co-development and its impact on system performance, scalability, reliability, and manufacturabilities
- Strong product and operational mindset, with the ability to connect software investments to defined problems, measurable outcomes, and business priorities
- Excellent leadership, communication, and change-management skills
- Experience in quantum computing, photonics, semiconductors, scientific computing, or similarly complex deep-tech environments
- Experience building AI-enabled engineering platforms, developer ecosystems, or software organizations that acted as force multipliers across large technical teams
- Cover letter with resume in one file
Benefits
Comp & perks- Work closely with some of the brightest innovators in quantum technologies to drive breakthroughs that redefine computing
- Enjoy a fast-paced and fun environment where you can try new things while solving innovative challenges every day
- Inclusive company culture that values collaboration
- Regular social events and fun activities keep our global team connected
- Competitive compensation package including stock options and relocation assistance for global talent
- Comprehensive benefits including extended health, dental, life, long term disability, an employee assistance program, parental leave top-ups, and a flexible spending account