# Staff Quantum Computing Engineer

**Company**: Synopsys
**Location**: Pune, Maharashtra
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Ticker**: SNPS
**Wikidata**: https://www.wikidata.org/wiki/Q2303478

**Apply**: https://careers.synopsys.com/job/pune/staff-quantum-computing-engineer/44408/103107017152?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/staff-quantum-computing-engineer-00485972-eba/

## Description

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.

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## Skills

### Required
- Python
- C/C++
- Qiskit
- PennyLane
- Cirq
- QuTip
- quantum computing
- quantum algorithms
- HPC
- CUDA
- MPI

### Nice to have
- quantum information
- computational science
- VQE
- QAOA
- QFT
- quantum optimization techniques
- quantum simulation methods

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Source: [Apply at careers.synopsys.com](https://careers.synopsys.com/job/pune/staff-quantum-computing-engineer/44408/103107017152?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
