Key Skills

Job Description

About the Company Why Join eyeo? - Groundbreaking Technology: Work on transformative technology with the potential to disrupt a $25 billion market and change the future of image sensing. - Early Impact: As an early joiner at eyeo, your contributions will directly shape the company's success, culture, and product offerings. - Innovation: Be part of a start-up that's pioneering new solutions in the imaging space and working on high-impact, innovative products. - Collaborative Environment: Join a passionate, agile team where collaboration, trust, and innovation are at the heart of everything we do. - Technical Ownership: As a senior individual contributor, you will directly shape eyeo's sensor characterization methodology and quality standards, with your work feeding straight into our product and technology roadmap. About the Role About the Role: We are seeking a highly skilled and experienced Expert or Principal CMOS Image Sensor Characterization Engineer to join our innovative team and lead our characterization discipline. In this senior individual-contributor role, you will own the strategy, methodology, and technical direction for the electrical and optical characterization of CMOS image sensors, providing expert-level guidance across the organization and driving the development and validation of next-generation imaging solutions built on our novel color splitter technology. This is a rare opportunity to join a start-up with groundbreaking technology, take ownership of a foundational technical discipline, and play a pivotal role in shaping the company's growth trajectory. Responsibilities Define and own the strategic roadmap and methodology for CMOS image sensor characterization, setting the technical standards for electrical and optical performance testing across the organization. Architect and lead the development of advanced, automated characterization (e.g., light sources, optics, power supplies, oscilloscopes, probe stations), including build-vs-buy decisions for critical lab capabilities. Lead in-depth analysis and interpretation of sensor performance data (e.g., QE, SNR, DR, PRNU, DSNU, FPN, temporal noise, dark current, MTF), diagnosing root causes of complex or systemic performance issues. Collaborate closely with internal and external cross-functional teams on image sensor characterization topics. Author authoritative technical reports and present findings to executive leadership, customers, and partners, translating complex characterization data into clear, actionable insights. Drive sensor bring-up, debugging, and validation strategy from prototype through production, resolving the most complex technical challenges. Drive the development of internal tools, automation frameworks, and data pipelines that scale characterization capabilities across the organization. Share knowledge and mentor fellow engineers on characterization techniques and best practices as the team grows. Contribute to IP generation and technical publications as opportunities arise. Qualifications Master's or Ph.D. in Electrical Engineering, Physics, Optics, or a related field (Ph.D. strongly preferred for Principal-level candidates). 10+ years (Expert) or 12–15+ years (Principal) of progressive, hands-on experience in CMOS image sensor testing or optoelectronic device characterization, including demonstrated technical leadership (academic or industry). Deep, expert-level understanding of image sensor architecture, pixel design, and performance metrics, including novel or emerging sensor technologies. Proven track record architecting and building complex, automated test and characterization systems and optical lab infrastructure. Expert-level proficiency in data analysis, scripting, and automation (Python required). Strong knowledge of image processing concepts, ISP pipelines, and image quality evaluation. Excellent independent problem-solving skills, with sound engineering judgment in ambiguous or fast-moving situations. Excellent executive communication skills, with the ability to translate complex technical findings for leadership, customers, and external partners. Entrepreneurial mindset, with comfort operating with significant autonomy and ownership in a fast-paced start-up environment. Required Skills Deep, expert-level understanding of image sensor architecture, pixel design, and performance metrics, including novel or emerging sensor technologies. Proven track record architecting and building complex, automated test and characterization systems and optical lab infrastructure. Expert-level proficiency in data analysis, scripting, and automation (Python required; MATLAB a plus). Strong knowledge of image processing concepts, ISP pipelines, and image quality evaluation. Excellent independent problem-solving skills, with sound engineering judgment in ambiguous or fast-moving situations. Excellent executive communication skills, with the ability to translate complex technical findings for leadership, customers, and external partners. Entrepreneurial mindset, with comfort operating with significant autonomy and ownership in a fast-paced start-up environment. Preferred Skills Experience with full camera systems or ISP pipelines. Familiarity with sensor interface protocols (e.g., MIPI CSI-2). Knowledge of advanced image quality metrics (e.g., color reproduction, sharpness, HDR tuning). Exposure to optical characterization techniques and simulation tools (e.g., Lumerical) is a plus. Track record of patents, publications, or industry recognition in image sensor characterization or optoelectronics. To Apply To Apply: Please submit your resume to [email protected].

Core Responsibilities

Define and own the strategic roadmap and methodology for CMOS image sensor characterization, including the development of automated test systems. Lead the analysis of sensor performance data and drive the validation strategy from prototype through production.

Requirements

Requires a Master's or Ph.D. in Electrical Engineering, Physics, or Optics with over 10 years of experience in CMOS image sensor characterization. Candidates must possess expert-level skills in Python, sensor architecture, and automated test system design.