Technical Program Manager (Photonic Platforms)

HyperLight is at the forefront of the commercialization of thin-film lithium niobate (TFLN) integrated photonics - a material and process technology that is enabling high-performance, scalable optical components across AI/datacom infrastructure, hyperscale computing, quantum computing, sensing, and beyond. Founded in 2018 and backed by leading venture capital, we’ve built a team and a platform focused on real-world mass deployment of TFLN photonics technology.

At the core of our work is the TFLN Chiplet™ platform — a modular, integrated architecture designed for scalability, manufacturability, and seamless integration into complex systems. It offers a rare combination of extraordinary performance and industrial readiness, enabling system developers across applications to deploy the technology fast and ready. We partner with our customers and suppliers from conceptualization, design, and prototyping phases, all the way through mass production to ensure smooth and rapid deployment of TFLN photonic technology.

We believe our platform is the key, in the golden age of integrated photonics, to empower humanity to the next level. We assembled a world class team covering engineering, business, and operations. We believe in the power of integrity, innovation, collaboration, and pragmatic solutions. Our diverse team thrives on challenges and is united by a shared commitment to excellence. We take pride in tackling complex challenges with curiosity, humility, and a deep sense of care for one another.

Our growing team is looking for someone to join HyperLight as a Technical Program Manager, with a specific focus on Photonic Platforms.

JOB DUTIES:

·       Support the Plan of Record (POR) and program schedule for photonic platform development, from early design through manufacturing ramp;

·       Coordinate cross-functional teams spanning PIC/EIC design, process integration, test, packaging, and supply chain to track roadmap milestones;

·       Assist in managing the interface with foundry and external assembly/packaging partners — coordinating wafer starts, process qualifications, and yield improvement initiatives;

·       Track critical path, dependencies, and risks across concurrent programs; escalate issues to senior program managers and leadership as needed;

·       Support manufacturing readiness activities, including engineering sample builds, customer sampling, capacity planning, and supply chain qualification;

·       Maintain program dashboards for schedule, yield, and manufacturing readiness metrics to support stakeholder reporting and cross-functional visibility;

·       Provide regular program status updates to senior program managers and stakeholders, maintaining clear accountability for scope, schedule, and budget.

Requirements

MINIMUM REQUIREMENTS:
Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, Computer Science, or Data Science and 3 years of experience in the job offered or similar role, plus:

·       3 years of experience with at least one of the following: integrated photonics, optical components, semiconductor/fab process development, or advanced packaging;

·       3 years of experience identifying, tracking, and mitigating technical and schedule risks across multi-team hardware development programs using structured risk management practices;

·       3 years of experience using EDA (electronic design automation) software to monitor and report yield and manufacturing metrics, including CpK and FMEA, in support of manufacturing improvement programs;

·       3 years of experience using SQL or Python to query and analyze manufacturing and test data hosted on cloud-based platforms, including AWS services such as S3 and EC2, in support of yield analysis, process characterization, or program metrics tracking;

·       3 years of experience with MATLAB, JMP, or equivalent scientific computing environment for statistical process analysis and data-driven decision-making in a semiconductor or photonic device development context.

·       Company will accept any equivalent combination of education and experience.

OR

Master's degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, Computer Science, or Data Science and 1 year of experience in the job offered or similar role, plus:

·       1 year of experience with at least one of the following: integrated photonics, optical components, semiconductor/fab process development, or advanced packaging;

·       1 year of experience identifying, tracking, and mitigating technical and schedule risks across multi-team hardware development programs using structured risk management practices;

·       1 year of experience using EDA (electronic design automation) software to monitor and report yield and manufacturing metrics, including CpK and FMEA, in support of manufacturing improvement programs;

·       1 year of experience using SQL or Python to query and analyze manufacturing and test data hosted on cloud-based platforms, including AWS services such as S3 and EC2, in support of yield analysis, process characterization, or program metrics tracking;

·       1 year of experience with MATLAB, JMP, or equivalent scientific computing environment for statistical process analysis and data-driven decision-making in a semiconductor or photonic device development context.

·       Company will accept any equivalent combination of education and experience.

Benefits

• Competitive market-based compensation (Salary range $116,000 - $140,000 per year)
• Comprehensive health coverage, including medical, vision, and dental plans for individuals and families
• 401(k) retirement plans with employee matching
• Paid parental leave
• Life and disability insurance
• Commuter benefits and subsidies
• Professional growth and mentorship opportunities

Authorization to work in the US is required.
JOB ID#: HL5001

WORKSITE ADDRESS: 675 Massachusetts Avenue, Suite 301, Cambridge, MA 02139

NUMBER OF HOURS/WEEK: 40 hours/week

REMOTE/TELECOMMUTING POSITION: N/A – 100% onsite.

TRAVEL: N/A