Role: Optical Systems Engineer
Work Location: Milpitas, CA (Onsite)
Position Type: Contract
We are seeking a skilled professional with expertise in optical engineering, laser systems, and display technologies. The ideal candidate will apply advanced mathematical modeling and physics principles to develop and optimize optical and photonic systems. Proficiency in Python programming is essential for data analysis, simulation, and system automation. Responsibilities include designing experiments, interpreting results, and enhancing system performance. A strong foundation in applied mathematics and physical sciences is required to drive innovative solutions in cutting-edge technology projects.
Qualifications:
Multidisciplinary engineer with knowledge of optical, mechanical, firmware, software, electronic and controls systems. Work with a multidisciplinary team of engineers to define critical requirements and negotiate tolerance budgets.
Experience with system simulation of control systems and algorithms. Ability to develop solutions using SW tools with consideration to physics, electrical and mechanical models. Architect, prototype and verify key algorithms and control systems.
Experience with various software languages such as C# (MS), Python (emphasis OpenCV) and Verilog (HDL). Experience in Linux-based a plus. Work with the Firmware and Software teams to implement key algorithms and control systems for product operation, factory calibration, customer deployment and throughout the product lifecycle with remote capability.
Experience in the development and tracking of specifications and flow-down. Focused on specifications, metrics, processes, schedules, etc. Works collaboratively with domain experts to make technical decisions with ability to steer the course of development based on concrete data.
Experience architecting consumer or commercial-based systems consisting of hardware and software subsystems. Employing optical subsytems (light sources, photodetectors) is a plus eg machine vison, LiDar, robotics, laser-based equipment. Material science know-how is a plus.
Proven track record of extraordinary attention to detail, organization, documentation, scheduling and excellent communication skills.
Prior experience in video or image processing strongly preferred-Nvdia GPUs or the like, FPGAs, high speed communications.
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Experience with product certification such as EMI/EMC, Safety and compliance protocols.
Experience in product reliability, FA, and RCA.
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