Work at the highest level of customer service, considering high visibility on-camera talent. DoP/camera operation skills; working familiarity with professional cameras by Blackmagic, Sony, Panasonic, RED, Canon, and similar.

The camera validation and integration engineer would be a highly competent hardware engineer, as well as having solid working knowledge of optics, CMOS image sensor, image quality, image signal processor, and software programming.

Expert process experience on Camera and Sensor technology and manufacturing. Engage with the Camera and Sensor engineering team and purchasing team on supplier selection. Camera modules are one of most important modules for AR/VR headset, we have multiple different functions cameras on each headset, totally new experiences in case of technical requirements and quality management.

Proficient in physically based rendering, camera, lighting and material calibration. Location: Santa Clara, CA (Hybrid: 3x per week on site) Creating 3D content with a strong focus on creativity.

Exceptional Support: Our dedicated operations team will help with securing your caseload, credentialing, insurance verification, billing and reimbursement, and tech, so you can focus on what you love: providing exceptional care.

Hands-on experience in the development of optomechanical lab setups for camera system performance study; Familiar with optical metrology. Hands-on experience in the development of optomechanical lab setups for camera system performance study.

Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL. · Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.

Base Pay Scale: Generally starting at $94.28 - $124.90 per hourThe salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.

Acting as a one-man attachment to other special forces teams, these highly specialized Airmen are trained in a wide range of skills, including scuba, parachuting and snowmobiling, as well as being FAcertified air traffic controllers in order to establish air control and provide combat support on missions all over the globe.

6+ years of experience with electrical systems design/troubleshooting on typical semiconductor tools including RF plasma, PVD, CVD, and etch processes. At Intevac, we are on a mission to be the premier thin film coating provider in the world with a vision of coating every technological device the world over.

Accordingly, LPCH does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above.

As a Machine Learning engineer in the Perception team you will be responsible to design and develop new Machine Learning models for our online perception system and deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles.

Our unique suite of micro services are deployed on Oracle cloud and interacts with the underlying hardware infrastructure in OCI data centers world wide for firmware compliance, security management and remote data collection.

Hands on use of 3-D modeling tools like ANSYS HFSS/Q3D and 2.5-D with ANSYS SIWAVE, Cadance tools such as Power SI, ADS tools or similar. Work on Signal Integrity solutions to complex system design problems.

Work with internal cross-functional teams on characterization, validation and qualification of components (image sensor, lens, electrical components etc.) 3+ years industry experience in camera module design modeling, computer vision camera calibration, optical simulation, metrology, testing and lab work to verify imaging component, assembly and system level performance.