Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 9
Distributed Systems @ 3
Go @ 6
Java @ 6
Kubernetes @ 6
Rust @ 6
Scala @ 6
WebRTC @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About the Role
We’re looking for exceptional media engineers who want to join us on a new project to deeply integrate SpaceXAI’s advanced AI infrastructure into a platform used by around 600 million users every month. We’re bringing SpaceXAI's technology stack and using it to transform the video product experience - video playback, live streaming, Spaces, audio/video calls, and more.
Responsibilities
- Build the next generation of large-scale video services
- Contribute to and rebuild core media processing and distribution pipelines in high-performance languages (Rust, C++ or Go)
- Obsess over every millisecond and pixel, ensuring end-to-end media quality and performance at scale across a rich suite of products and user platforms
Requirements
- At least 5 years of experience
- Obsessed with media quality, performance, and product experience
- Proficient in high performance C++ or Go
- In-depth knowledge of either WebRTC or LL-HLS or video transcoding pipelines
- Familiar with building and running scalable and resilient distributed systems
Preferred Skills and Experience
- Go, C++, Rust, Java, Scala
- Kubernetes, FoundationDB, ValKey, Envoy, S3
- H.264, H.265, AV1, MP4, CMAF, VMAF, RTP, RTMP, LL-HLS, HDR, DRM
Compensation and Benefits
- $180,000 - $440,000 USD base salary
- Equity
- Comprehensive medical, vision, and dental coverage
- Access to a 401(k) retirement plan
- Short & long-term disability insurance
- Life insurance
- Various other discounts and perks
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