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Salary
$128k – $208k per year
Location
In office (Boston)
Seniority
Middle · 4+ years exp
Visa
H-1B filings in 12 months: 10

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Aug 21, 2026. QuEra Computing scores B on the Alion truth index.

Overview
Company
Impact
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QuEra Computing builds quantum computers based on neutral atoms, using arrays of individually controlled Rydberg atoms held in optical traps. Its machines are offered through cloud platforms and on-premises installations for research centres, high-performance computing sites, government bodies and enterprises, alongside application co-design work and open-source tools for simulating atom arrays and optimisation problems. Founded in 2018 on research from Harvard and MIT and headquartered in Boston, the company hires physicists, hardware, optics and software engineers, product managers and finance staff.

Summary

QuEra Computing, a frontrunner in the quantum computing industry, is seeking a highly motivated and experienced full-stack Photonic Engineer to help build the AI-driven component development pipelines that will accelerate next-generation photonic chip development. You will explore state-of-the-art optimization workflows, directly improving how quickly our engineers can iterate and tape out novel photonic components for large-scale fault-tolerant neutral-atom quantum computers.

Responsibilities

  • Lead tapeouts of high-performance photonic and optoelectronic components and circuits.
  • Own and build out our AI-driven component development pipelines, with early focus on the layout pipeline.
  • Collaborate with foundry partners through iterative design-fab-test cycles, translating PDK constraints and fab feedback into faster convergence on working devices.
  • Contribute across photonics workflow: device design, simulation, layout, test, and system-level experiments.
  • Work closely with a multidisciplinary team of engineers and quantum scientists to integrate photonic components into complete quantum computing systems.

Qualifications

  • Master's or PhD in Electrical Engineering, Physics, or a related field, or 4+ years of experience with photonic integrated circuits (PICs).
  • Deep understanding and practical experience across PIC workflows, from simulation and layout to experimentation and control.
  • Strong Python skills and a demonstrated track record of automating engineering work, including with AI tools.
  • Enthusiasm for at least one of: photonic design automation, large-scale layout design, high-volume photonics testing, or photonic systems control.
  • Proven technical impact, evidenced by publications, patents, or shipped products.

Preferred Qualifications

  • Experience with commercial PIC simulation tools such as Lumerical, Tidy3D, and layout tools such as gdsfactory, KLayout, gdspy, or IPKISS.
  • Applied ML or AI for device design or layout optimization, such as inverse design, Bayesian optimization, or LLM-assisted design or layout workflows.
  • Direct experience with a specific foundry PDK and its design-rule constraints.
  • Experience with the development of optical components and systems for atomic physics, such as high-power visible/near-IR light, AOM/EOM control, beam delivery for atom trapping or Rydberg excitation.
  • Prior work in quantum computing, quantum sensing, quantum communication, or another physics-heavy hardware environment.

The approximate base salary range for this position is $128,000 - $208,000.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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