Z

Zapata Quantum

Delivers industrial-scale generative AI solutions

Quantum Solutions Engineer

Full-TimeUpdated on 10/20/2026
No salary listed
Mid
PhD
United States
In Person
AI & Machine LearningAI Research

About the job

Requirements
  • A PhD in Physics, Computer Science, Applied Mathematics, or a related field, or equivalent industry experience delivering quantum solutions.
  • A deep understanding of quantum computing fundamentals, including the circuit model, quantum error correction, and complexity theory.
  • Hands-on experience developing and testing quantum algorithms and primitives, such as quantum phase estimation, variational quantum eigensolver, quantum approximate optimization algorithm, Hamiltonian simulation, amplitude amplification, and block encoding.
  • Practical experience building quantum workflows and performing resource estimation for realistic problem instances.
  • Strong mathematical foundations in linear algebra, probability, and numerical methods.
  • Proficiency with quantum-related programming and tooling, such as circuit simulation, compilation, resource estimation, scientific computing, or modern quantum software development kits.
  • A track record of peer-reviewed publications, preprints, open-source contributions, or equivalent technical output.
  • Strong written and verbal communication skills to engage clients directly and articulate technical results to scientific and commercial stakeholders.
  • Ability to work independently, scope open-ended problems, and manage client deliverables with minimal oversight.
  • Familiarity with modern artificial intelligence tools and a drive to use them to make solution development and delivery more efficient.
Responsibilities
  • Work directly with clients to scope, develop, test, and deliver quantum proof-of-concept and production engagements that demonstrate measurable value for their use cases.
  • Develop, implement, and test quantum algorithms and end-to-end workflows for applications in cryptography, chemistry, finance, materials science, and defense.
  • Perform end-to-end resource estimation for quantum workloads on near-term (NISQ) and fault-tolerant hardware architectures, and communicate trade-offs to clients.
  • Build, benchmark, and harden circuit compilation, error mitigation, and algorithmic primitives for client deliverables.
  • Translate customer and domain-specific problems into well-posed quantum computational tasks and reproducible workflows.
  • Serve as the primary technical point of contact during client engagements, communicating progress, results, and recommendations to technical and non-technical audiences.
  • Contribute to technical reports, customer-facing deliverables, peer-reviewed publications, and government program deliverables.
  • Partner with internal software engineers and research scientists to improve the quality, correctness, and performance of product and solution deliverables.
  • Independently analyze complex scientific and engineering problems and drive them to a working, validated solution.
Desired Qualifications
  • Prior experience in a customer-facing technical role, such as solutions engineering, applied science, or technical consulting.
  • Experience contributing to government-funded quantum research programs.
  • A track record of designing and implementing novel quantum algorithms, demonstrated through publications, preprints, or open-source contributions.
  • Deep expertise in either quantum chemistry or quantum cryptography.
  • Experience leading proof-of-concept engagements from problem scoping through validated deliverable.

About the company

Zapata AI provides industrial generative AI software for large enterprises and government agencies. Its core product, the Orquestra platform, is a software stack that accelerates AI/ML development and deployment by using quantum-inspired techniques on standard CPUs and GPUs in a hardware-agnostic way. It differentiates itself by translating quantum algorithms research into enterprise-grade software that runs on conventional hardware and supports edge and on-premises deployments for industries like defense, manufacturing, finance, and automotive. Its goal is to commercialize quantum-inspired methods to scale AI across industry, grow as a public company, and help customers optimize operations and decision-making.

Company Size

11-50

Company Stage

IPO

Headquarters

Boston, Massachusetts

Founded

2017

Get referred to Zapata Quantum

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • September 22, 2026 Quantum Pilot early access widens product surface with government customers.
  • April 23, 2026 Triatomic-led financing raised $15 million for engineering and go-to-market hiring.
  • June 23, 2026 NVIDIA collaboration automates quantum resource estimation for drug discovery.

What critics are saying

  • Q2 2026 revenue stayed zero, while operating losses reached $1.8 million.
  • June 30, 2026 cash was $12.8 million against $4.5 million debt.
  • December 15, 2026 senior notes mature; failure triggers refinancing, dilution, or insolvency.

What makes Zapata Quantum unique

  • Hardware-agnostic Quantum Pilot targets enterprise quantum roadmaps across hardware vendors.
  • Zapata holds over 60 granted and pending patents, spanning algorithms, optimization, and verification.
  • DARPA Benchmarking experience plus NVIDIA and QuEra partnerships create rare credibility.

Help us improve and share your feedback! Did you find this helpful?

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

7%

2 year growth

-6%
MarketScreener
Sep 22nd, 2026
Zapata Quantum, Inc. introduces Quantum Pilot? to enable systematic discovery and development of high-value quantum applications.

Zapata Quantum, Inc. introduces Quantum Pilot? to enable systematic discovery and development of high-value quantum applications. Published on 09/22/2026 at 04:51 pm EDT S&P Capital IQ Zapata Quantum, Inc. announced early access to Quantum Pilot, a hardware-agnostic, cloud-based software platform designed to help enterprises identify, evaluate, and develop quantum computing applications by bridging the gap between rapidly advancing quantum hardware capabilities and organizations? ability to determine where quantum computing can create business value. The platform enables enterprises to build dynamic roadmaps for quantum adoption, assess the technical feasibility and commercial potential of applications, and prioritize investment opportunities without committing to a single quantum hardware provider or modality. Drawing on Zapata?s experience in developing quantum algorithms and applications across industries, Quantum Pilot combines a proprietary knowledge framework with advanced computational tools, including capabilities developed through collaborations with NVIDIA for agentic AI-based quantum resource estimation and with the University of Maryland for quantum software verification. The platform delivers Quantum Application Intelligence (QAI) by continuously tracking developments in quantum research, hardware roadmaps, and software ecosystems to keep application strategies current. Quantum Pilot is powered by three core systems: Quantum Graph, which connects quantum applications, algorithms, research, and hardware roadmaps; Quantum Engine, which supports algorithm selection, resource estimation, experiment design, and hardware benchmarking; and Quantum Assurance, which combines formal verification methods with expert review to evaluate technical results and guide application development. The platform is initially available through an early access program for selected enterprise and government customers. (C) S&P Capital IQ - GlobeNewswire - 2026

Associated Press
Sep 22nd, 2026
Zapata Quantum launches Quantum Pilot to bridge gap between quantum hardware and enterprise applications

Zapata Quantum has launched early access to Quantum Pilot, a cloud-based platform designed to help enterprises identify and develop valuable quantum computing applications. The hardware-agnostic software addresses the gap between advancing quantum hardware and businesses' ability to determine practical quantum use cases. Quantum Pilot provides a systematic approach for organisations to discover potential applications, assess their technical and commercial viability, and prioritise investment opportunities. The platform combines a proprietary knowledge framework with computational tools, including capabilities developed through collaborations with NVIDIA and the University of Maryland. The system comprises three components: Quantum Graph, which maps quantum applications and research; Quantum Engine, offering algorithm selection and resource estimation tools; and Quantum Assurance, providing formal verification methods. Initially available through an early access programme, the platform is targeting enterprise and government customers. Zapata Quantum, founded in 2017 from Harvard's quantum lab, holds over 60 granted and pending patents in quantum software development.

CFOTech
Aug 12th, 2026
Zapata partners QuEra to develop quantum use cases.

Zapata partners QuEra to develop quantum use cases. Wed, 12th Aug 2026 (Yesterday) Zapata Quantum has partnered with QuEra to develop quantum computing use cases aimed at improving the commercial prospects for applications before fully fault-tolerant hardware becomes available. The work will combine QuEra's neutral-atom quantum computing roadmap with Zapata's focus on algorithms and application development. The goal is to address a gap between advances in quantum hardware and the availability of practical business applications. Under the arrangement, Zapata will help identify the enterprise use cases that matter most, assess when they may become practical, and develop the applications and algorithms needed to run on future systems. The partnership also supports QuEra's work with enterprises, government programmes and high-performance computing centres seeking to design and validate applications ahead of full fault tolerance. The tie-up sits within the QuEra Quantum Alliance Program, which is intended to bring together organisations working across different parts of the quantum stack. For QuEra, it adds an application development partner as the company pursues a roadmap towards a fault-tolerant machine accessible through AWS. Quantum computing companies have increasingly shifted attention from headline hardware milestones to the harder question of whether customers will have useful tasks ready when larger, more reliable systems arrive. That has pushed software specialists and hardware developers into closer partnerships, particularly in pharmaceuticals, finance, materials and defence, where advocates argue quantum systems could eventually tackle problems that are difficult for classical machines. Zapata describes itself as hardware-agnostic, developing software and applications designed to work across different quantum approaches rather than for a single machine design. QuEra, by contrast, is focused on neutral-atom quantum computing, one of several competing architectures being pursued across the industry. Neutral-atom systems use individual atoms as qubits and have drawn attention as one possible route to scaling quantum processors. QuEra traces its roots to research at Harvard and MIT and operates from Boston, New Mexico, Tokyo, Zurich and the United Kingdom. For Zapata, the partnership adds to a broader strategy of aligning with larger technology groups and quantum hardware companies. The company recently announced an ongoing partnership with NVIDIA focused on applying agentic AI to quantum algorithm development, underscoring its effort to combine quantum software research with advances in artificial intelligence. The commercial question remains central to both companies' message. Quantum hardware has made technical progress, but fully fault-tolerant systems capable of running complex workloads reliably are still under development, leaving many prospective users uncertain about when to invest in application design and where to focus their efforts. Roadmap focus QuEra is working towards a megaquop-class system through AWS in 2028, a milestone that gives application developers a target for planning. In the meantime, partnerships like this are intended to ensure useful workloads are tested and refined before the hardware reaches that stage. Zapata says its work spans cryptography, pharmaceuticals, finance, materials discovery and defence. It also says it has participated across all technical areas of DARPA's Quantum Benchmarking programme and has worked with Fortune 500 companies and government agencies on quantum-related projects. Its research profile received a boost when a study on quantum-enabled drug discovery was recognised as one of Nature Biotechnology's Top 10 Papers of 2025. That supports the company's pitch to customers as a group seeking to connect theoretical quantum advances with specific industry tasks. QuEra has made a similar case for practical preparation, arguing that customers should begin co-designing applications before large-scale fault-tolerant machines are ready. The latest partnership reflects that approach by pairing a hardware developer with a software company specialising in identifying and shaping potential workloads. Sumit Kapur, Chief Executive Officer of Zapata Quantum, outlined that view in the company's announcement. "QuEra's commitment to delivering a megaquop-class system via AWS in 2028 is exciting for the field and something we're looking forward to supporting from the application side," Kapur said. "We are uniquely positioned as a hardware-agnostic partner to help enterprises identify which quantum use cases matter, assess when they will become viable, and develop the applications and algorithms needed to drive transformational business value as these systems come online," he added. Yuval Boger, Chief Commercial Officer at QuEra Computing, said the company sees application work as integral to making quantum systems useful to customers. "By pairing QuEra's leadership in fault-tolerant quantum computing with Zapata's focus on application development, we can further accelerate the path from quantum capability to commercial value," Boger said.

Yahoo Finance
Jul 7th, 2026
Zapata Quantum CEO to present at Global Technology conference, highlights NVIDIA collaboration and Nature Top 10 cancer research

Zapata Quantum announced that CEO Sumit Kapur will present at the Global Technology Virtual Investor Conference on 9 July. Kapur will discuss the company's collaboration with NVIDIA on applying agentic AI to quantum algorithm development and its quantum cancer research, recognised as a Nature Biotechnology Top 10 paper of 2025. The Boston-based quantum software company recently completed a $15 million fundraise led by Triatomic Capital. The study, co-authored with Dana-Farber Cancer Institute, University of Toronto, and Insilico Medicine, demonstrated quantum computing's potential in drug discovery. Zapata has expanded its leadership team with Yudong Cao, former Head of Quantum at BCG X, joining as CTO.

Quantum Computing Report
Jun 23rd, 2026
Zapata Quantum and NVIDIA integrate agentic AI to automate quantum resource estimation.

Zapata Quantum and NVIDIA integrate agentic AI to automate quantum resource estimation. Zapata Quantum and NVIDIA have partnered to integrate agentic AI into quantum algorithm development by automating quantum resource estimation workflows. The collaboration focuses on streamlining a process used to determine the exact hardware specifications, error-correction budgets, and physical execution times required to run quantum applications. Initial engineering efforts are directed at complex quantum chemistry challenges, including pharmaceutical drug discovery, energy grid optimization, and advanced materials development, where benchmarking quantum algorithms has historically stood as a significant developer bottleneck. Conventional algorithm benchmarking and resource estimation typically require extensive multi-year efforts from domain experts spanning molecular modeling, software compilation, and hardware architecture evaluation. The joint workflow compresses this timeline by implementing an orchestrated multi-agent AI framework designed to automate these separate steps into a scalable system. The automated pipeline utilizes the NVIDIA Agent Toolkit software to establish tracking, observation, and operational guardrails for the underlying multi-agent AI setup, combining continuously verified software compilation layers with predictive models capable of calculating physical qubit counts and gate depths before a computation is initiated on live hardware backends. The cooperative methodology has been validated by testing its automated estimation protocols on homogeneous catalysis, building on Zapata's previous benchmarking datasets created during its participation across all technical segments of the DARPA Quantum Benchmarking program. Homogeneous catalysis presents a significant computational bottleneck for classical simulation, making it a critical test case for verifying how effectively the automated framework can identify high-value industrial workloads. To secure the intellectual property of this verification-aware automation approach, Zapata has also filed a provisional patent application detailing the implementation of its agentic framework for quantum computing applications. The official corporate disclosure detailing the technical collaboration, software workflows, and patent filings can be reviewed directly via the Zapata Quantum Investor Relations Portal here. June 23, 2026