Senior Edge Video Systems Engineer
Spot AI
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Benefits offered by this job
Job summary
Spot AI is seeking a seasoned Video Systems Engineer to lead the design and optimization of their edge-based video processing stack. The role requires 7+ years of software engineering experience, emphasizing building reliable video pipelines using GStreamer or FFmpeg. You will collaboratively work on projects to improve latency and video quality for thousands of customers.
Expect a dynamic environment where your ownership and creativity drive significant impact in the realm of video AI.
Qualifications
- 7+ years of software engineering experience, focusing on performance and reliability.
- 3+ years building production-ready video pipelines with GStreamer, FFmpeg, or similar frameworks.
- Experience coding in Rust or C/C++ and deploying applications in Linux environments.
Responsibilities
- Own the design, development, and scaling of the video pipeline for edge devices.
- Optimize video processing for Intel and NVIDIA GPU encoders.
- Collaborate with teams to improve video quality across different camera models.
Skills
Education
Tools
Job description
Spot AI is seeking a seasoned Video Systems Engineer to lead the design and optimization of their edge-based video processing stack. The role requires 7+ years of software engineering experience, emphasizing building reliable video pipelines using GStreamer or FFmpeg. You will collaboratively work on projects to improve latency and video quality for thousands of customers.
Expect a dynamic environment where your ownership and creativity drive significant impact in the realm of video AI.
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