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Salary
≈ $47k – $82k per year (Estimated)
Location
Hybrid (Dublin, Ireland)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 20, 2026. Equal1 scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Equal1 is changing that paradigm, introducing the first commercially viable quantum system built to run inside existing AI and HPC data center environments.

We are seeking an exceptional, client-facing Field Applications Engineer to join our team. Driven by commercial impact, you will partner directly with enterprise clients to architect, build, and deploy technical solutions leveraging Equal1’s silicon spin QPUs. This role requires outstanding communication skills to bridge complex technical systems with high-stakes enterprise execution.

The Field Applications department is the commercial strike team engineered for high-stakes execution. We deliver quantum computing to the market by uniting software systems integration, scientific formulation, and compelling technical storytelling to close enterprise deals. Operating at the intersection of business, quantum information science, and software / hardware / systems engineering, our team serves as the vital bridge between internal R&D teams, business partners, external collaborators, and clients.

Main Duties and Responsibilities

  • Serve as the primary technical point of contact for commercial engagements. Establish technical credibility with client executives and engineering teams during discovery, pre-sales, through sale and delivery.

  • Deliver live technical pitches, represent the company at industry events / conferences, and run on-site or remote hardware and software demonstrations.

  • Assess customer infrastructure and technical requirements, understand Equal1’s system capabilities, and act as a bridge between customers and internal engineering teams to architect suitable solutions and support deployment planning.

  • Support virtualization, system services, and commissioning logistics for on-prem system deployments.

  • Provide project management and operational support for client delivery, and partner evaluation for commercial integrations.

  • Provide ongoing technical support, system administration, and troubleshooting for customer implementations and partner systems.

  • Support development of whitepapers, use cases, data sheets, and executive presentations. Contribute technical input in script production, video assets, and media content to elevate product and company visibility.

  • Act as the strategic interface between commercial strategy and internal R&D.

Experience and Qualifications

Required

  • Degree in a relevant technical discipline or equivalent professional experience.

  • 2-4 years of relevant work experience. Candidates holding a PhD are eligible to waive up to 2 years of required experience depending on relevance.

  • Excellent written and verbal communication skills.

  • Knowledge of classical computational theory.

  • Advanced knowledge of at least one applicable domain such as classical algorithms, scientific programming / computational mathematics, AI / ML, or HPC.

  • Strong software engineering skills.

  • Strong knowledge of linear algebra fundamentals.

  • Proficiency in Python.

  • Proficiency with virtual environments, virtualization, and software packaging.

  • Fluency in Linux and Git.

  • Exceptional client-facing communication skills with a natural ability to translate dense technical subjects into compelling value propositions.

  • Comfortable contributing where roles blend technical execution, relationship building, and public presentation.

  • Proven ability to add value across traditional boundaries, working seamlessly alongside engineers and business professionals.

Desired

  • Familiarity with Electrical, Computer, or Systems Engineering concepts.

  • Experience developing client-focused quantum solutions.

  • Proficiency in a high-performance / mathematical programming language or framework (e.g. C/C++, Rust, CUDA, Julia, PyTorch, TensorFlow).

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