Jobs

Description

Onsite ,CA – Sausalito

You will build and run complex camera systems that collect data for AI models

Must-Have Skills

• Proficient in working with both Linux and Windows operating systems and using command line.
• Experience working in a production capture setting.
• Experience with setting up, maintaining, and working with multi-camera systems, depth sensors, IMUs, and putting these together to collect data in a unified capture system.
• Experience in debugging, profiling, and troubleshooting both software and hardware issues.
• Experience working on applied research and/or product development involving joint hardware/software design, development, and integration.
• Hands-on, resourceful, and creative in problem-solving with a can-do attitude.
• Curious in learning new and experimental technologies and quick to apply them in day-to-day work.
• Comfortable communicating with both technical and non-technical audiences by adapting to their background.
• Experience in working with cross-functional teams on building systems that involve Engineering, Research, Product Design, and external clients.

Nice-to-have Skills

• 5+ years experience working with capture systems. Experience working in a production capture setting.
• Experience working with distributed systems and/or cloud services.
• Proficient and/or familiarity with scripting and automation, such as Python and shell scripts (eg. bash, zsh etc.).
• Experience with multi-camera systems.
• Experience working with or using open source software.
• Experience in fault analysis or failure mode analysis.
• Experience and knowledge of camera synchronization (eg. Timecode, genlock, etc) and real time systems.
• Experience taking a system from concept to deployment.
• Experience working with 3D printers and/or rapid prototyping.

Job Description

We are currently seeking systems engineers with a passion for technology to develop the next generation of smart, AI-powered wearable devices.

• In this role, you will partner with research scientists, hardware engineers, software engineers, and various cross-functional teams to build and run state-of-the-art capture systems.
• These systems fuel AI research focused on understanding and modeling the physical world.
• They require researching, implementation and upgrading of new and existing capture systems while running at high volumes and throughputs.
• The ideal candidate has experience with multi-camera capture systems, capable of quickly learning how to work with new custom devices, including hardware setup, capture, calibration, system upgrades, and data transfer.
• A qualified candidate will work with software engineers and external partners, suppliers, and researchers to ensure all aspects of the project are covered.

Key Projects/Day-to-Day Responsibilities:           

• Conduct data capture sessions, data annotations, data processing and QA using commercial and proprietary software and hardware.
• Support and help maintain capture labs.
• Assemble, debug and verify capture systems with predefined needs and specifications by collaborating with engineers, research teams and program managers.
• Test existing capture systems end to end for accuracy and correctness. Find sources of error and isolate them to specific components.
• Provide technical feedback for quality, stability and system output by monitoring system and infrastructure effectiveness.
• Provide milestones and timelines for project management.
• Identify and escalate blockers and slowdowns in processes, work with researchers and lab managers to resolve and unblock projects.
• Produce technical documentations for capture systems.

Degrees/Certifications Required:            

• Bachelor’s degree in engineering or equivalent experience.