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Intern, Free-Space Optical Test Systems

Ayar Labs

San Jose, CAInternshipPosted 3 days agoStill listed today

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At a glance

Compensation
No compensation found
Location
San Jose, CA
Role Type
Internship
Schedule
Internship
Work Authorization
OPT eligible

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Ayar Labs seeks a graduate intern for its System Engineering team to build and characterize a free-space optical system for imaging photonic integrated circuits. The hands-on project spans optical theory, hardware, and code, including wavefront control, beam-propagation modeling, and numerical optimization. The intern will build and align an optical bench, write system-control software, and run performance-characterization experiments, with mentorship from a senior engineer.

Skills & qualifications

RequiredNice to have

Skills

HolographyPython (Programming Language)ZemaxFourier OpticsBeam PropagationOptical Field ModelingOptical Imaging DesignWavefront ControlSpatial Light ModulatorsFree-Space Optical Bench AlignmentFiber CouplingCamera-Based ImagingPolarization OpticsNumerical OptimizationInstrument ControlTest Automation

Qualifications

PhD in Physics, Electrical Engineering, Photonics, Optics, or Equivalent

Full job description

Position: Intern, Free-Space Optical Test Systems Location: San Jose, CA

Job Id: 745

of Openings: 0

Intern, Free-Space Optical Test Systems Term: May to August 2027

Please note:

  • Position location is on-site in San Jose Office
  • There is no immigration (except F1) or relocation support for this position
  • Posting expires upon application threshold

Position Description

Ayar Labs, the global leader in optical I/O chiplets, is harnessing silicon photonics to revolutionize the scaling of AI compute hardware. Ayar Labs is shattering AI data bottlenecks by moving data at the speed of light. As pioneers of co-packaged optics (CPO), we are using light instead of electricity to move data faster, further, and with a fraction of the energy needed to fuel the explosive growth of AI models.

Backed by industry giants like NVIDIA, AMD and Intel and manufactured in partnership with the world’s leading semiconductor ecosystem, Ayar Labs’ co-packaged optics solution is key to unleashing next-generation AI scale-up architectures.

Our System Engineering team develops the optical measurement and test capabilities that support characterization and qualification of our silicon photonic products. We are looking for a motivated graduate intern to join us in building and characterizing an advanced free-space optical system for imaging various photonic integrated circuits. This is a hands-on role that spans theory, hardware, and code in equal measure. You will develop the computational methods that control and optimize the imaging system — designing and implementing wavefront control, modeling beam propagation through the optical train, and driving the system to defined performance targets through numerical optimization. You will build and align the optical bench yourself, write the software that controls it, and run the experiments that characterize its performance.

The project has well-defined objectives and deliverables for the internship period, and you will be mentored by a senior engineer as you work alongside Ayar Labs engineers to help drive the optical I/O revolution.

Intern Skillset Needed

  • Strong working knowledge of Fourier optics and beam propagation, with demonstrated ability to model and compute optical fields through multi-element systems.
  • Solid grounding in optical imaging system design, including pupil and image plane relationships, resolution and field of view trade-offs, and aberration theory.
  • Hands-on experience with wavefront control and holography, including spatial light modulators or equivalent programmable optical elements.
  • Demonstrated experience building and aligning free-space optical benches, including fiber coupling, camera-based imaging, and polarization optics.
  • Proficiency in Python for numerical optimization, instrument control, and test automation.
  • Familiarity with Zemax or equivalent optical design software is a strong plus.

Education Requirements

  • Candidate should be actively pursuing a Ph.D. in Physics, Electrical Engineering, Photonics, Optics, or equivalent.

NOTE TO RECRUITERS: Principals only. We are not accepting resumes from recruiters for this position. Remuneration for recruiting activities is only applicable subject to a signed and executed agreement between the parties. Please don’t send candidates to Ayar Labs, and do not contact our managers.

Ayar Labs is an Affirmative Action/Equal Opportunity Employer and is strongly committed to all policies which will afford equal opportunity employment to all qualified persons without regard to age, sex, national origin, race, color, ethnicity, creed, religion, gender identity, sexual orientation, disability, veteran status, or any other characteristic protected by law. It is the policy of Ayar Labs to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. Veterans are more than welcome and encouraged to apply.

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How this job compares

Set against the 3,060 open Systems Engineering jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This postingNot listed
  • California median$162–235K/yr457 salary ranges
  • California median$38–54/hr23 hourly ranges
Openings
Olive Jobs lists 557 open Systems Engineering jobs in California and 3,060 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Systems Engineering postings that state a minimum ask for 7 years of experience at the median; the middle half ask for 5 to 10 years (2,433 postings).
Education
1,032 of the 3,060 open Systems Engineering jobs (34%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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