Systems Engineer II
Location: Sausalito, CA
Contract: 12 Months with possible extension
Pay rate: $67/hour on W2 along with benefits
Job Description:
NEEDS TO BE ABLE TO REPORT ONSITE IN SAUSALITO, CA.
Our client brings together a diverse and highly interdisciplinary team of researchers and engineers to create the future of augmented and virtual reality. We are currently seeking systems engineers with a passion for technology to develop the next generation of digital humans and avatars.
In this role, you will partner with research scientists, hardware engineers, software engineers, and various XFNs to build and run our state-of-the-art capture systems. These systems are used to fuel research to create drivable virtual humans and enable human representation (Avatars/Holograms/photorealistic telepresence) for next generation VR/AR applications. They need regular advances 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 adopters to ensure all aspects of the project are covered.
RESPONSIBILITIES:
- Conduct data capture sessions, data annotations, data processing and QA using commercial and proprietary software and hardware.
- Build scripts, small components that help improve the system or automate aspects of data capture setup and usage.
- Assemble, debug and verify capture systems with predefined needs and specifications by collaborating with hardware engineers, motion capture vendors and internal engineering/research teams.
- 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 partners and leadership to resolve and unblock projects.
- Produce technical documentations for capture systems.
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in engineering or equivalent experience.
- Proficient in scripting and automation, such as Python and shell scripts (eg. bash, zsh etc.).
- Proficient in working with Linux and/or Windows operating systems and using command line.
- Experience working in a production capture setting.
- 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 nontechnical 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.
PREFERRED QUALIFICATIONS:
5+ years experience working with capture systems.
- Experience working with or developing with VR or mobile devices.
- Experience working in a production capture setting.
- Experience working with distributed systems and/or cloud services.
- Experience with programming and familiar with common programming languages such as Python and C/C++.
- Experience with source control systems.
- Experience working with or using open source software.
- Experience in fault analysis or failure mode analysis.
- 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 and knowledge of camera synchronization (eg. Timecode, genlock, etc) and real time systems.
- Experience taking a system from concept to deployment.
Top 3 must-have HARD skills:
- Python
- Camera Experience (sensor, motion capture, multi camera)
- R&D
Good to have skills:
- VR experience highly preferred
