About Lumilens At Lumilens we are building the critical photonics infrastructure that powers tomorrow’s AI supercomputing. From chip-to-chip optical interconnects to scalable photonic engines, Lumilens is unlocking a new era of computing—faster, cooler, and massively more efficient. We’re a well-funded startup backed by Mayfield and led by veterans who’ve built and scaled some of the most transformative technologies in the industry. At Lumilens, we’re developing high-speed photonics products purpose-built to power the future of AI infrastructure and high-performance computing. This isn’t incremental innovation—it’s a ground-floor opportunity to rethink the optical layer from the silicon up. The market is moving fast, and we’re moving faster. You’ll work alongside a team of world-class engineers solving some of the hardest challenges in optics, systems, and scale. Every line of code, every design decision, every breakthrough you help deliver—will shape the infrastructure of tomorrow. If you're looking for mission, momentum, and the chance to make an outsized impact—jump on the rocket ship. We’re just getting started. Position Overview We are looking for an experienced analytics engineer to build the data foundations, define key metrics and make recommendations to guide strategic decisions and influence the trajectory of photonic research at Lumilens. Analytics engineer Understand user requirements from a variety of domain experts and translate that to data tooling requirements Create rapid analytics prototypes (notebooks, dashboards) to address user needs Create dashboards and reports for stakeholders including exec team, internal users and external customers using structured and semi-structured datasets Identify data gaps (missing data, inaccurate data, inconsistent fields etc) and ensure improvements, working in close collaboration with domain experts (optical engineers, manufacturing engineers, quality/reliability engineers) and data and machine learning engineers Implement data quality checks Identify opportunities to improve timeline, reliability and costs for our product lines Follow good software engineering practices Core requirements: Dashboarding tools, Data visualization tools (eg matplotlib, seaborn, altair, Strong SQL skills, Python data stack (eg. pandas, numpy). What we offer ● Competitive salary commensurate with experience ● Comprehensive benefits package including health insurance ● Professional development opportunities and certification support ● Access to cutting-edge technology and cloud platforms ● Collaborative work environment with cross-functional teams ● Lumilens is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, identity, orientation, veteran status, disability, or any other legally protected status.
About Lumilens At Lumilens we are building the critical photonics infrastructure that powers tomorrows AI supercomputing. From chip-to-chip optical interconnects to scalable photonic engines, Lumilens is unlocking a new era of computingfaster, cooler, and massively more efficient. Were a well-funded startup backed by Mayfield and led by veterans whove built and scaled some of the most transformative technologies in the industry. At Lumilens, were developing high-speed photonics products purpose-built to power the future of AI infrastructure and high-performance computing. This isnt incremental innovationits a ground-floor opportunity to rethink the optical layer from the silicon up. The market is moving fast, and were moving faster. Youll work alongside a team of world-class engineers solving some of the hardest challenges in optics, systems, and scale. Every line of code, every design decision, every breakthrough you help deliverwill shape the infrastructure of tomorrow. If you&aposre looking for mission, momentum, and the chance to make an outsized impactjump on the rocket ship. Were just getting started. Position Overview We are looking for an experienced analytics engineer to build the data foundations, define key metrics and make recommendations to guide strategic decisions and influence the trajectory of photonic research at Lumilens. Analytics engineer Understand user requirements from a variety of domain experts and translate that to data tooling requirements Create rapid analytics prototypes (notebooks, dashboards) to address user needs Create dashboards and reports for stakeholders including exec team, internal users and external customers using structured and semi-structured datasets Identify data gaps (missing data, inaccurate data, inconsistent fields etc) and ensure improvements, working in close collaboration with domain experts (optical engineers, manufacturing engineers, quality/reliability engineers) and data and machine learning engineers Implement data quality checks Identify opportunities to improve timeline, reliability and costs for our product lines Follow good software engineering practices Core requirements: Dashboarding tools, Data visualization tools (eg matplotlib, seaborn, altair, Strong SQL skills, Python data stack (eg. pandas, numpy). What we offer ? Competitive salary commensurate with experience ? Comprehensive benefits package including health insurance ? Professional development opportunities and certification support ? Access to cutting-edge technology and cloud platforms ? Collaborative work environment with cross-functional teams ? Lumilens is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, identity, orientation, veteran status, disability, or any other legally protected status. Show more Show less
At Lumilens, we are at the forefront of building the critical photonics infrastructure that powers tomorrow's AI supercomputing. Our well-funded startup, backed by Mayfield and led by industry veterans, is focused on developing high-speed photonics products to drive the future of AI infrastructure and high-performance computing. As an Analytics Engineer at Lumilens, you will play a crucial role in shaping the data foundations and key metrics that influence the trajectory of photonic research. **Role Overview:** As an Analytics Engineer at Lumilens, your primary responsibility will be to understand user requirements from domain experts and translate them into data tooling requirements. You will create rapid analytics prototypes such as notebooks and dashboards to address user needs and generate insights. Additionally, you will work on creating dashboards and reports for stakeholders, identifying data gaps, implementing data quality checks, and improving timelines, reliability, and costs for our product lines. Your work will have a direct impact on shaping the future of our infrastructure. **Key Responsibilities:** - Understand user requirements and translate them into data tooling requirements - Create rapid analytics prototypes like notebooks and dashboards - Develop dashboards and reports for stakeholders using structured and semi-structured datasets - Identify data gaps and collaborate with domain experts and data engineers to ensure data quality - Implement data quality checks and identify opportunities for improvement in timelines, reliability, and costs - Follow good software engineering practices **Qualifications Required:** - Proficiency in dashboarding tools and data visualization tools (e.g., matplotlib, seaborn, altair) - Strong SQL skills and experience with the Python data stack (e.g., pandas, numpy) At Lumilens, we offer a competitive salary based on experience, comprehensive benefits package including health insurance, professional development opportunities, access to cutting-edge technology and cloud platforms, and a collaborative work environment with cross-functional teams. We are committed to diversity and are an equal opportunity employer, welcoming applicants from all backgrounds. Join us at Lumilens for a ground-floor opportunity to shape the future of computing with cutting-edge photonics technology. Your contributions will have a significant impact on the development of our infrastructure and the advancement of AI supercomputing.,
About Lumilens At Lumilens we are building the critical photonics infrastructure that powers tomorrow’s AI supercomputing. From chip-to-chip optical interconnects to scalable photonic engines, Lumilens is unlocking a new era of computing—faster, cooler, and massively more efficient. We’re a well-funded startup backed by Mayfield and led by veterans who’ve built and scaled some of the most transformative technologies in the industry. At Lumilens, we’re developing high-speed photonics products purpose-built to power the future of AI infrastructure and high-performance computing. This isn’t incremental innovation—it’s a ground-floor opportunity to rethink the optical layer from the silicon up. The market is moving fast, and we’re moving faster. You’ll work alongside a team of world-class engineers solving some of the hardest challenges in optics, systems, and scale. Every line of code, every design decision, every breakthrough you help deliver—will shape the infrastructure of tomorrow. If you're looking for mission, momentum, and the chance to make an outsized impact—jump on the rocket ship. We’re just getting started. Position Overview We are looking for an experienced analytics engineer to build the data foundations, define key metrics and make recommendations to guide strategic decisions and influence the trajectory of photonic research at Lumilens. Analytics engineer Understand user requirements from a variety of domain experts and translate that to data tooling requirements Create rapid analytics prototypes (notebooks, dashboards) to address user needs Create dashboards and reports for stakeholders including exec team, internal users and external customers using structured and semi-structured datasets Identify data gaps (missing data, inaccurate data, inconsistent fields etc) and ensure improvements, working in close collaboration with domain experts (optical engineers, manufacturing engineers, quality/reliability engineers) and data and machine learning engineers Implement data quality checks Identify opportunities to improve timeline, reliability and costs for our product lines Follow good software engineering practices Core requirements: Dashboarding tools, Data visualization tools (eg matplotlib, seaborn, altair, Strong SQL skills, Python data stack (eg. pandas, numpy). What we offer ● Competitive salary commensurate with experience ● Comprehensive benefits package including health insurance ● Professional development opportunities and certification support ● Access to cutting-edge technology and cloud platforms ● Collaborative work environment with cross-functional teams ● Lumilens is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, identity, orientation, veteran status, disability, or any other legally protected status.
About Lumilens At Lumilens we are building the critical photonics infrastructure that powers tomorrow’s AI supercomputing. From chip-to-chip optical interconnects to scalable photonic engines, Lumilens is unlocking a new era of computing - faster, cooler, and massively more efficient. We’re a well-funded startup backed by Mayfield and led by veterans who’ve built and scaled some of the most transformative technologies in the industry. At Lumilens, we’re developing high-speed photonics products purpose-built to power the future of AI infrastructure and high-performance computing. This isn’t incremental innovation, it’s a ground-floor opportunity to rethink the optical layer from the silicon up. You’ll work alongside a team of world-class engineers solving some of the hardest challenges in scaling optical systems. Every line of code, every design decision, every breakthrough you help deliver will shape the infrastructure of tomorrow. If you're looking for mission, momentum, and the chance to make an outsized impact, jump on the rocket ship. We’re just getting started. About The Role: As a DevOps Engineer at Lumilens, you will manage our development infrastructure, CI/CD pipelines, and cloud operations. You will be responsible for maintaining version control systems, building automated deployment pipelines, managing AWS infrastructure, and supporting our data lake initiatives while ensuring seamless integration between development and operations. DUTIES/RESPONSIBILITIES: Set up and keep cloud infrastructure compliant with security and access control policies Provision user access compliant with approval requirements for access to infrastructure and datasets (internal and external) Supports management and rotation for downstream use cases Implement infrastructure as code best practices Monitoring, alerting, health checks (data pipelines, production and test infrastructure) Automate build and release infrastructure (versioning and deployment) Continuous integration and delivery for dev/test/prod environments Manage self hosted open source tool deployments, upgrades for experimentation and production Follow SRE best practicesCore requirements: System administration/security, experience with cloud, CI/CD What We Offer Competitive salary commensurate with experience Comprehensive benefits package including health insurance Professional development opportunities and certification support Access to cutting-edge technology and cloud platforms Collaborative work environment with cross-functional teams Lumilens is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, identity, orientation, veteran status, disability, or any other legally protected status.