Staff Quantum Computing Engineer

You will join Synopsys, the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products.

As a Staff Quantum Computing Engineer, you have spent years at the edge of what computing can do, and you know that quantum is not magic, it is math, physics, and a lot of careful engineering to figure out where it actually helps.

What You'll Be Doing

• Develop and evaluate quantum algorithms for CAE and EDA applications, focusing on optimization, simulation, and computational problems relevant to Synopsys workflows
• Research emerging quantum technologies and assess their applicability to real product use cases, separating signal from noise in a rapidly evolving field
• Build software prototypes, proof-of-concepts, and tech demos using quantum frameworks like Qiskit, PennyLane, Cirq, or QuTip, and validate them against classical HPC baselines
• Collaborate with internal engineering teams, academic researchers, and industry partners to explore quantum approaches and translate research into practical engineering insights
• Contribute to patents and publications in top quantum computing conferences and journals
• Integrate quantum workflows with HPC and classical computing environments to build hybrid solutions that scale
• Ramp up on Synopsys EDA and simulation technologies to understand where quantum methods could create meaningful advantage

The Impact You Will Have

• Help Synopsys evaluate and adopt next-generation quantum computing technologies that could differentiate future CAE and EDA products
• Turn quantum research into practical engineering capabilities by building prototypes that validate real-world applicability
• Identify quantum algorithms and approaches that can improve computational workflows in silicon design, simulation, and analysis
• Build the technical foundation for quantum integration as hardware matures and becomes commercially viable
• Contribute to Synopsys intellectual property portfolio and thought leadership in quantum computing for EDA
• Bridge the gap between cutting-edge research and product engineering, ensuring quantum exploration stays grounded in business value
• Strengthen Synopsys partnerships with academic institutions and quantum hardware providers through collaborative research and proof-of-concepts

What You'll Need

• MS or PhD in Computer Science, Physics, Mathematics, Electrical Engineering, or a related field with focus on quantum computing, quantum information, or computational science
• Strong programming skills in Python and C/C++ for building algorithms, simulations, and scalable software
• Hands-on experience with quantum computing frameworks such as Qiskit, PennyLane, Cirq, QuTip, or similar platforms
• Solid understanding of quantum algorithms including VQE, QAOA, QFT, quantum optimization techniques, or quantum simulation methods
• Experience with HPC, CUDA, MPI, or scientific computing environments is a strong plus
• Track record of research contributions through publications, patents, or open-source quantum software projects is valuable

Who You Are

• You can explain a complex quantum algorithm to a classical HPC engineer in two sentences without losing the technical nuance or overselling the capability
• Self-driven and comfortable working in ambiguity, you do not wait for a perfect problem statement to start exploring solutions
• You have a learning mindset and stay current with quantum computing research, but you also know how to focus on what matters for industry-scale problems
• Strong collaborator who can work across disciplines, from physicists to software engineers to product managers, and find common ground quickly
• You think critically about where quantum actually helps and where it does not, and you are not afraid to say when a classical approach is still the right answer
• Organized enough to manage research exploration, prototype development, and stakeholder communication without losing momentum

The Team You'll Be Part Of

You will join the Office of Innovation, a team focused on bringing research and advanced computing technologies to Synopsys. The mission is to drive near-term and long-term innovation by exploring quantum computing, AI and foundation models, and HPC acceleration. This team evaluates emerging technologies, builds proof-of-concepts, and works closely with product engineering to identify where new approaches can create real differentiation in EDA and simulation workflows.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings.