NT
Video Engineer
Accepting applicationsNaveera Tech · India
Full-Time Entry AIC++aiaterf
Posted
1d ago
Category
Test
Experience
Entry
Country
India
About the Role
As a Video Engineer at Naveera, you'll build and optimize the real-time camera and video infrastructure that powers our in-vehicle systems. You will work on low-latency multi-camera pipelines, hardware-accelerated encoding, stream reliability, and video performance across edge devices. This role is ideal for someone who understands how frames, buffers, latency, bandwidth, and system constraints interact in production, and who can build robust video systems that perform reliably without dropping frames.
Responsibilities
Design, build, and optimize real-time camera and video pipelines for production systems
Develop and maintain multi-stream video ingestion, processing, and encoding workflows
Work with hardware-accelerated video encoding and decoding, including H.264 and H.265 pipelines
Tune systems for low latency, stable throughput, and efficient bandwidth usage across edge devices
Debug and resolve frame drops, sync issues, memory bottlenecks, buffering problems, and pipeline instability
Integrate camera inputs, buffering logic, and encoder output into larger embedded and edge compute systems
Profile and optimize CPU, GPU, memory, and I/O usage across video workloads
Collaborate with embedded, backend, and product teams to ensure video systems are production-ready and operationally reliable
Support video architecture decisions for multi-camera vehicle deployments and future intelligent video features
Required Qualifications
3+ years of experience building or maintaining real-time camera or video systems
Strong understanding of frames, buffers, latency, throughput, and bandwidth in live video pipelines
Experience with V4L2, GStreamer, or similar media pipeline frameworks
Experience with hardware video encoding and decoding, especially H.264 and H.265
Experience building or maintaining multi-stream video pipelines
Ability to debug frame drops, synchronization issues, memory bottlenecks, and performance problems in production systems
Strong systems-level programming skills in C, C++, Rust, or similar languages
Comfort working close to hardware, drivers, and edge devices
Preferred Qualifications
Experience with multi-camera systems in embedded or edge environments
Familiarity with ISP tuning, camera sensor behavior, and image pipeline optimization
Experience with edge AI or computer vision pipelines running alongside video workloads
Background in fleet, automotive, robotics, surveillance, or other real-time video-heavy systems
Experience optimizing pipelines under strict device, thermal, or bandwidth constraints
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As a Video Engineer at Naveera, you'll build and optimize the real-time camera and video infrastructure that powers our in-vehicle systems. You will work on low-latency multi-camera pipelines, hardware-accelerated encoding, stream reliability, and video performance across edge devices. This role is ideal for someone who understands how frames, buffers, latency, bandwidth, and system constraints interact in production, and who can build robust video systems that perform reliably without dropping frames.
Responsibilities
Design, build, and optimize real-time camera and video pipelines for production systems
Develop and maintain multi-stream video ingestion, processing, and encoding workflows
Work with hardware-accelerated video encoding and decoding, including H.264 and H.265 pipelines
Tune systems for low latency, stable throughput, and efficient bandwidth usage across edge devices
Debug and resolve frame drops, sync issues, memory bottlenecks, buffering problems, and pipeline instability
Integrate camera inputs, buffering logic, and encoder output into larger embedded and edge compute systems
Profile and optimize CPU, GPU, memory, and I/O usage across video workloads
Collaborate with embedded, backend, and product teams to ensure video systems are production-ready and operationally reliable
Support video architecture decisions for multi-camera vehicle deployments and future intelligent video features
Required Qualifications
3+ years of experience building or maintaining real-time camera or video systems
Strong understanding of frames, buffers, latency, throughput, and bandwidth in live video pipelines
Experience with V4L2, GStreamer, or similar media pipeline frameworks
Experience with hardware video encoding and decoding, especially H.264 and H.265
Experience building or maintaining multi-stream video pipelines
Ability to debug frame drops, synchronization issues, memory bottlenecks, and performance problems in production systems
Strong systems-level programming skills in C, C++, Rust, or similar languages
Comfort working close to hardware, drivers, and edge devices
Preferred Qualifications
Experience with multi-camera systems in embedded or edge environments
Familiarity with ISP tuning, camera sensor behavior, and image pipeline optimization
Experience with edge AI or computer vision pipelines running alongside video workloads
Background in fleet, automotive, robotics, surveillance, or other real-time video-heavy systems
Experience optimizing pipelines under strict device, thermal, or bandwidth constraints
Show more Show less