Photonics Characterization Systems Engineer jobs in United States
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Neurophos · 2 days ago

Photonics Characterization Systems Engineer

Neurophos is revolutionizing AI computation with its metamaterial-based optical computing platform. They are seeking a Photonics Characterization Systems Engineer to develop experimental methodologies and conduct experiments that characterize their innovative photonic architecture, working closely with a team of experts in the field.

Artificial Intelligence (AI)Hardware
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H1B Sponsor Likelynote
Hiring Manager
Logan Pirkl-Demarest
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Responsibilities

Develop and refine experimental methodologies to characterize silicon photonics and free-space optical systems for AI compute acceleration
Design, set up, and perform fine alignment of free-space optical experiments, leveraging custom spatial light modulators to demonstrate groundbreaking AI compute functionality
Conduct performance characterization of high-speed photonic systems
Utilize advanced high-speed signaling lab equipment to measure and analyze system performance
Perform statistical signal processing and generate detailed technical reports to document experimental results and system capabilities
Present findings to both technical teams and executive leadership with clarity and precision
Collaborate with interdisciplinary teams to integrate experimental insights into the broader system architecture and refine design iterations
Troubleshoot complex photonic setups and optimize experimental workflows for accuracy and repeatability
Partner with external vendors as needed to source specialized components or validate experimental results

Qualification

Free-space optical systemsHigh-speed optical computeStatistical signal processingSilicon photonicsData analysisTechnical report presentationScripting PythonScripting MATLABOptoelectronic characterizationTeamworkCommunication skillsProblem-solvingCollaboration

Required

PhD in Electrical Engineering, Physics, Optics, or a related field
3+ years of hands-on experience setting up and aligning free-space optical systems
Proven expertise with high-speed optical compute or optical networking equipment and advanced lab instrumentation
Deep understanding of signal integrity principles and their application to photonic systems
Proficiency in statistical signal processing and data analysis for performance characterization
Demonstrated ability to produce and present technical reports to diverse audiences, including technical peers and executive stakeholders
Strong teamwork and communication skills, with a track record of thriving in collaborative, interdisciplinary environments
Experience working independently to solve complex experimental challenges

Preferred

Background in silicon photonics, photonic computing, or optoelectronic characterization
Familiarity with spatial light modulators or other advanced photonic components
Experience with scripting (e.g., Python, MATLAB) for automation of experimental setups and data analysis
Knowledge of AI hardware architectures or neural network computing applications
Hands-on experience designing custom optical metrology or high-speed test systems

Benefits

Competitive compensation, including salary and equity options.
Opportunities for career growth and future team leadership.
Access to cutting-edge technology and state-of-the-art facilities.

Company

Neurophos

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Exaflop optical AI acceleration.

H1B Sponsorship

Neurophos has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)

Funding

Current Stage
Early Stage
Total Funding
$16.1M
Key Investors
Gates Frontier FundMetaVC Partners
2025-12-08Series Unknown· $1.9M
2023-12-14Seed· $7.2M
2023-10-03Seed· $7M

Leadership Team

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Patrick T. Bowen
CEO
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Andrew Traverso
Co-founder & Chief Scientist
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Company data provided by crunchbase