Staff BEOL Integration Engineer

PsiQuantumAlbany, NY
19h

About The Position

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. Come join us. Job Summary: The BEOL staff Integration Engineer will support the development of a silicon photonic product in a Foundry environment. The integration engineer will drive the unit process steps needed to deliver BEOL modules that meets our technology requirements for PIC performance and packaging.

Requirements

  • Advanced degree in Electrical Engineering or Materials Science Engineering or related experience is preferred.
  • Minimum 7 years of experience in a semiconductor manufacturing plant on BEOL process integration.
  • Experience with TSV integration, BEOL capacitors and resistors.
  • Experience with BEOL integration on Photonics.
  • Experience in process integration of a new module and working on leading edge technologies.
  • Proven experience executing cross-department complex projects.
  • Experience in vendor relationship management.
  • Experience with test structures design for yield / Reliability limiter determination and improvement.
  • Prior experience in new product technology development, implementation and transfer to a HVM.
  • Expertise in one of the functional unit processes (RIE, CMP, cleans, dielectrics, metals, etc.).
  • Excellent verbal and written communication skills with an ability to communicate effectively to a variety of audiences.
  • Strong critical thinking, creative, innovative, analytical, and detail oriented problem-solving skills.
  • Proven track record of impactful results and self-motivated.
  • Demonstrated ability to juggle multiple priorities and deliver against a schedule.
  • Demonstrated interest in quantum computing and ability to contribute in fast-moving start-up environment.

Responsibilities

  • Lead the process integration of a BEOL in our SiPh platform.
  • Critically assess the interactions between design layout, technology design-rules and processes.
  • Development of SiPh BEOL platform focused on yield improvement by reducing defectivity and improving process stability (Cp/Cpk).
  • Drive process improvements to meet performance requirements.
  • Data analysis skills (Ex: JMP) and build yield correlations.
  • Test structures design for PCM.
  • Structured risk management and problem-solving skills (FMEA, 8D, 5-why).
  • Statistical Process Control (SPC) and/or Design of Experiments (DOE) definition.
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