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About the Role

Join V-Nova's Integration Team as a Software Engineer to work at the intersection of video engineering and artificial intelligence. You will integrate V-Nova's video technologies into multimodal workflows using Python, transforming new ideas into practical, reliable systems. The role spans offline video curation, large-scale dataset preparation, and real-time/cloud-based video inference, including building workflows and integrating codecs with AI and media frameworks.

Responsibilities

Develop and maintain production-quality Python integrations, tools, and sample applications for V-Nova's LCEVC and VC-6 technologies within AI video workflows.
Integrate codec SDKs into video curation, data preparation, and inference pipelines using technologies like NVIDIA NeMo Curator, FFmpeg, and GStreamer.
Build and maintain video processing pipelines covering ingest, frame/clip extraction, transcoding, timestamps, keyframes, metadata, and audio/video synchronization.
Connect video processing stages to computer-vision and multimodal AI models for tasks such as classification, detection, captioning, embeddings, retrieval, and structured output generation.
Prototype and benchmark codec-aware inference workflows, evaluating their impact on accuracy, latency, throughput, scalability, and cost.
Create automated tests, performance measurements, and technical documentation to aid in the reproduction and evaluation of integrations.
Collaborate with colleagues and external engineering teams to scope work, communicate progress, and deliver integrations to production.

Requirements

Commercial software development experience using Python, including writing maintainable, tested, and documented code.
Practical video engineering knowledge and a basic understanding of video streams, codecs, containers, frame extraction, timestamps, keyframes, audio/video synchronization, transcoding, and streaming fundamentals.
Good problem-solving skills and confidence working across unfamiliar codebases, third-party libraries, and APIs.
Clear written and verbal communication, including concise progress updates and technical documentation.
A degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.

Skills

Python
NVIDIA NeMo Curator
FFmpeg
GStreamer
Docker
AWS
CUDA
PyTorch
TensorRT
Triton Inference Server
NVIDIA DeepStream
LLM APIs
VLM APIs

Experience Level

Commercial software development experience

Education Level

Degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience

About the Company

V-Nova's Integration Team works at the intersection of video engineering and artificial intelligence.
The team's day-to-day work is dynamic, involving collaboration with codec engineers, AI specialists, and external engineering teams.
They investigate unfamiliar systems and develop solutions to make V-Nova technology straightforward to evaluate and adopt.