Build and ship native Android features for financial services, shaping intuitive user journeys while improving app performance, reliability, security, and product quality.
Software Engineer
📜 Description
- Build and maintain real-time software for vision AI pipelines, from video ingest through model serving and downstream actions.
- Design low-latency, high-throughput services for live video across thousands of stores and checkouts.
- Partner with applied science and platform teams to productionize models against latency, cost, and reliability targets.
- Optimize video decoding, streaming, GPU inference, and memory use.
- Build for reliability under failure, backpressure, and real-world load.
- Contribute shared libraries and tooling, review code, maintain tests and documentation, and debug production issues involving video, hardware, and networks.
🛠️ Requirements
- 3-5 years building real time or high performance software in production.
- Hands-on experience building real time applications for vision AI or video pipelines.
- Strong programming skills in a systems language. C/C++ and Rust are preferable, along with Python for tooling and glue.
- Experience with streaming and video frameworks such as FFmpeg, GStreamer or similar is a strong advantage.
- Experience in the NVIDIA ecosystem (CUDA, TensorRT, DeepStream, GPU programming) is a strong advantage.
- Solid understanding of concurrency, networking and performance optimization.
- Comfortable with Linux, Docker, Kubernetes, Git and CI/CD pipelines.
- In-depth knowledge of cloud security, scalability, and performance optimization principles.
- A reliability-first mindset. You build systems that hold up under real world load with efficiency and performance front and center.
- Excellent communication skills coupled with the ability and desire to work independently in a fast moving, delivery focused team. You enjoy solving complex problems creatively.
Full job description
The Role
Reporting to the VP of Engineering who leads the development of our next generation platform, you will build the real time systems that run Everseen’s vision AI in production. This is the software layer that takes live video from thousands of stores, moves it through our vision pipelines and turns model output into action, all under tight latency and reliability constraints. You will work on the next generation platform with a modern, high performance stack, and your code will run at a scale most engineers rarely get to touch. It is a hands-on, high impact role for someone who likes building fast, dependable systems close to the hardware.
This role will allow you to take your career to the next level, working alongside industry experts and scaling a successful global organization.
Our Technology Stack
Our engineering teams at Everseen have the opportunity to work with and develop skills across a modern, high-performance tech stack:
What you’ll do
Collaborating with
Profile and Skills
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