Lead advanced metrology and analytics research across Singapore and the USA, developing data analytics and modeling solutions for X-ray metrology.
Locations (2)
Singapore, Singapore
United States
Compensation
Onto Innovation Inc. offers competitive salaries and a generous benefits package
Responsibilities
Interface with application scientists, product/program management, and marketing team to understand and analyze customers’ requirements and technology gaps.
Innovate and develop new concepts to address customer challenges and close identified technology gaps, working both independently and within cross‑functional teams.
Collect and analyze technical data, conduct literature reviews, propose new methodologies or improvements to existing solutions.
Conceptualize, design, prototype, and fine‑tune algorithms and find the best approach to solve a specific problem.
Develop advanced algorithms for X-ray metrology (CD‑SAXS, XRD, XRR etc.) data analysis, profile reconstruction, and parameter extraction.
Requirements
Ph.D. or Master’s degree in Physics, Applied Physics, Chemical Physics, Materials Science, Electrical Engineering, Mathematics and Statistics, Optics or a related field.
Lead advanced metrology and analytics research to develop next-generation data analytics and modeling solutions for CD‑SAXS and OCD metrologies.
Compensation
Onto Innovation Inc. offers competitive salaries and a generous benefits package, including health/dental/vision/life/disability, PTO, 401K plan with employer match, and an Employee Stock Purchase Program (ESPP) along with health & wellness initiatives.
Responsibilities
Interface with application scientists, product/program management, and marketing team to understand and analyze customers’ requirements and technology gaps.
Innovate and develop new concepts to address customer challenges and close identified technology gaps, working both independently and within cross‑functional teams.
Collect and analyze technical data, conduct literature reviews, propose new methodologies or improvements to existing solutions.
Conceptualize, design, prototype, and fine‑tune algorithms and find the best approach to solve a specific problem.
Develop advanced algorithms for CD‑SAXS data analysis, profile reconstruction, and parameter extraction.
Requirements
Ph.D. or Master’s degree in Chemical Physics, Physics, Applied Physics, Electrical Engineering, Materials Science, Optics, Mathematics, Statistics, Data Science, or a related field.
A Master's thesis project investigating how real-world traffic data and simulation technologies can be used to support the validation of ADAS and autonomous driving functions, focusing on reconstructing virtual traffic environments from multi-sensor reference data and generating parameterized traffic scenarios.
Responsibilities
Multi-sensor data processing and fusion
3D scene and environment reconstruction
Virtual traffic environments and sensor simulation
Parameterized traffic scenario generation
Evaluation of reconstruction quality and scenario realism
RF Engineer Subject Matter Expert (SME) focused on space and defense RF systems.
Responsibilities
Conduct specialized technical studies related to RF systems, targets, and data products to provide assessments and actionable solutions for program managers or satellite owner/operators
Leading and participating in complex physics-based modeling, simulation and analysis, and conducting technical trades
Ability to conceptualize, synthesize, analyze, and assess the performance of specialized RF communications signals between satellites and ground stations using state-of-the-art signal processing analytic techniques
Maintenance and use of specialized hardware and software designed for the detection of low power signals in high noise environments running under a LINUX operating system
Modeling and assessment of RF transmission and reception parameters such as antenna patterns, signal-to-noise ratios, noise uncertainty, signal strength, bit error rates, among others, to perform link budget analyses and probability of detect calculations
Requirements
Bachelor's degree in engineering, physics, or mathematics
Master's degree in RF Engineering, Signal Processing, Physics, Electrical Engineering, or Mathematics
Plan, develop, and execute test scenarios covering radar sensor hardware, including RF boards and enclosures, as well as software components such as firmware.
Design and implement automated test environments and Python-based scripts to streamline the validation of algorithms, hardware revisions, and system performance.
Support the verification of hardware-near code written in C, ensuring that signal-processing functionality performs reliably under real-world operating conditions.
Conduct measurements in laboratory environments, industrial locations, and during the evaluation of landing systems.
Analyse raw measurement data, troubleshoot performance issues, and identify opportunities for system and testing optimisation.
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