Position SummaryThe TeamInnovation & Delivery Transformation is an organization within Deloitte Consulting that manages a portfolio of emerging technology investments spanning multiple time horizons. Our mission is to accelerate the next generation of technology-driven Consulting offerings. The Quantum Computing team will drive the ecosystem, capability and solution development to drive the impact of quantum technologies across all industries and clients we serve, with the aim of establishing Deloitte as a thought leader and Firm of choice for transformative and disruptive quantum technology.
Position SummaryDo you have a passion for innovation and emerging technologies, along with deep technical expertise in fault-tolerant quantum computing (FTQC), quantum error correction, and resource estimation? Would you like to be a part of the development of a new firm offering? We are currently seeking an experienced
SeniorQuantum Research Scientist -- Fault Tolerant Quantum Computing to advance FTQC research within our quantum computing offering.
As a Senior Research Scientist within the Research & Delivery workstream, you will lead technically complex research at the intersection of fault-tolerant algorithms, quantum error correction, logical operations, and resource estimation. You will translate complex research questions into rigorous, reproducible analyses; assess what results do and do not support; and turn findings into technical roadmaps, prototypes, and recommendations for clients and offering leaders. As a senior technical contributor, you will provide subject-matter expertise, mentor colleagues, and help establish high standards for research rigor, reproducibility, and communication.
Recruiting for this role ends on 12/31/26.Work You'll DoYou will own research workstreams focused on FTQC, working closely with quantum researchers, engineers, product teams, domain experts, and business stakeholders to assess technical feasibility and client relevance.
- Define and prioritize FTQC research questions and workplans based on technical promise, computational feasibility, resource requirements, and relevance to client and offering needs.
- Lead investigations in one or more areas of FTQC, including fault-tolerant algorithms (e.g., phase estimation, qubitization, QSVT), quantum error correction, decoding (e.g., surface codes, qLDPC), logical operations, and resource estimation.
- Design, implement, and document reproducible experiments, simulations, benchmarks, and resource estimates using Python and relevant quantum software and research tools.
- Evaluate quantum approaches against relevant classical baselines, alternative methods, and plausible hardware or architecture assumptions, including performance, scalability, error considerations, and potential business value.
- Track developments in FTQC research, conferences, hardware architectures, and the broader technology landscape, and translate relevant developments into implications for clients and the Quantum Offering.
- Synthesize research findings into clear recommendations, technical roadmaps, capability assessments, and analyses of limitations, uncertainty, open questions, and potential client preparation needs.
- Partner with Product Engineering to translate validated research into prototypes, reusable assets, technical requirements, and engineering priorities.
- Serve as a technical subject-matter expert in client discussions, proposals, demonstrations, and ecosystem collaborations.
- Mentor researchers and engineers, providing constructive technical review to establish standards for rigor, reproducibility, and communication.
Required Skills:- Doctoral degree in Quantum Information Science, Physics, Mathematics, Computer Science, Electrical Engineering, or a related field.
- 5+ years of relevant research or development experience, including independently leading technically complex work from problem framing through analysis and communication of conclusions.
- Demonstrated expertise in fault-tolerant quantum computing, with substantial depth in fault-tolerant algorithms and resource estimation.
- Strong understanding of quantum error correction, logical operations, decoding, and the relationship between algorithm design, architecture, and computational resources.
- Hands-on ability to implement, reproduce, benchmark, or critically evaluate quantum algorithms using Python and relevant quantum software, simulation, or resource-estimation tools (e.g., Qiskit, Cirq, PennyLane, CUDA-Q).
- Experience designing experiments, establishing appropriate classical baselines, interpreting results, and documenting methods, assumptions, limitations, and conclusions.
- Ability to connect technical research to client needs, business outcomes, and Quantum Offering priorities.
- Publications, preprints, conference presentations, open-source contributions, or other evidence of technical invention or contribution in quantum computing.
- Strong written and verbal communication skills, including the ability to explain complex technical findings, uncertainty, and tradeoffs to technical and business audiences.
- Demonstrated ability to collaborate across research, engineering, product, consulting, and business teams and to provide technical guidance and mentorship to colleagues.
- Ability to travel up to 10%, based on business needs and the clients and industries served.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred Skills:- Hands-on experience with quantum error correction codes, decoders, logical gates, and magic-state distillation.
- Experience with high-performance computing and GPU-accelerated methods, including classical simulation for developing strong performance baselines.
- Experience with resource-estimation tools, quantum simulation environments, or quantum cloud platforms (e.g., Azure Quantum Resource Estimator, AWS Braket, IBM Quantum).
- Experience collaborating with quantum hardware teams, technology vendors, academic groups, or industry partners.
- Experience translating research into prototypes, technical roadmaps, client materials, or emerging-technology offerings.
- Domain experience in an FTQC application area, such as quantum chemistry and many-body simulation, financial modelling and risk, or optimization.
- Demonstrated ability to take ownership of ambiguous technical problems and move them toward evidence-based, pragmatic conclusions in a fast-paced, multidisciplinary environment.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 - $265,100.
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
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Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available.
Fair Chance Hiring and Ban-the-Box Notices | Deloitte US CareersRequisition code: 372928
Job ID 372928
