Job description

Everseen : A leader in vision AI solutions for the world’s leading retailers. 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: Languages: Rust, C/C++, CUDA (for GPU-accelerated computing) AI/ML & Computer Vision: PyTorch, OpenCV, TensorRT, ONNX Tools & Infrastructure: Linux, Docker, Kubernetes, Git, and CI/CD pipelines Data & Streaming: Real-time video processing, RTSP/video streaming, and cloud platforms What you’ll do Build and maintain the real time software that powers Everseen’s vision AI pipelines, from video ingest through to model serving and downstream actions. Design low latency, high throughput services that process live video across thousands of checkouts and stores. Work with applied science and platform teams to turn models into production services that meet latency, cost and reliability targets. Design and implement reusable, testable, efficient, and elegant code based on requirements. Optimize performance across the stack, from video decoding and streaming through to GPU inference and memory use. Build for reliability by handling failure, backpressure and scale so the system keeps running when stores are busy. Contribute to shared libraries, tooling and standards, review code, and help keep the codebase healthy. Create, maintain, and run unit tests. Ensure documentation is created and maintained. Debug hard problems in production environments where video, hardware and networks all interact. Keep learning the stack, from streaming frameworks to GPU tooling, and bring good ideas back to the team. Collaborating with You will work closely with applied science engineers, platform and infrastructure engineers, product managers, QA engineers and DevOps engineers, along with the operations teams that deploy our software and our hardware partners such as NVIDIA. Profile and Skills 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. Bachelor’s or Master’s degree in Computer Science, Engineering or a related field, or equivalent practical experience. About Everseen Shrink and inefficiency cost global retailers more than a hundred billion dollars each year. But Everseen is changing that equation. We are a leader in vision AI, transforming business operations for global retailers by reducing shrink, improving operations, and delivering a better customer experience. Supporting 11 of the top 20 global retailers, Everseen’s AI innovations help retailers save millions of dollars every month. Its flagship product, Evercheck, is deployed in 10,000 retail stores and 150,000 checkouts globally. Everseen operates at unmatched scale, processing over 15 million transactions, and more than six petabytes of video data, daily. Trusted by major food, drug, mass, and specialty retailers around the world - including Kroger, Meijer, and Woolworths - we also partner with leading hardware, AI, and cloud computing providers such as Google, NVIDIA, NCR, and Dell. Founded in 2007 and headquartered in Cork, Ireland, Everseen has over 700 employees globally, with a European headquarters in Cork, Ireland, a U.S. headquarters in Miami, and hubs in Romania, Serbia, India, Australia, and Spain. We are a dedicated team of inventors, research scientists, engineers, AI experts and retail industry veterans. Our culture is built on accountability, collaboration, and high standards. We take ownership of outcomes, prioritise our customers, operate as one team, move quickly with purpose, and continually raise the bar in everything we deliver. Our Culture Our culture is built on ownership and accountability, we own outcomes, not tasks. We stay relentlessly customer-first, letting their needs shape our priorities and decisions. We work as one team: we challenge ideas, align quickly, and commit together. We move with pace, without compromising on simplicity or quality. And every day, we raise the bar, strengthening our talent, pushing innovation forward, and maximizing our impact. Our Values We OWN THE OUTCOME. No silos, no excuses. We ARE CUSTOMER-FIRST. They guide our decisions. We ARE ONE TEAM. Debate, decide, commit. We MOVE WITH PACE. With simplicity and quality. We RAISE THE BAR. On talent, innovation and impact. Our Commitment Everseen is committed to creating an environment where everyone can succeed. Our employees should feel a sense of belonging, have an opportunity to grow their careers, and feel free to be their most authentic selves. Everseen takes great pride in the diversity of its global workforce, and insists upon a safe, inclusive workplace where our differences are our collective strength. We treat each other with dignity, and respect, and require all employees, officers, and directors to seek to understand the importance and value to Everseen of diversity, and inclusion. Everseen is committed to creating a safe environment for all employees and has a zero tolerance policy for bias and discrimination of any kind. Our work environment is one without offensive, hostile, or intimidating conduct, whether verbal, written or physical, in nature. Everseen will not tolerate prejudice or discrimination of any kind including without limitation, where based on aspects such as, race, colour, sex, gender, religion, age, family status, disability of any kind, sexual orientation.

Requirements

Must-haves

Everseen : A leader in vision AI solutions for the world’s leading retailers.
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:
Languages: Rust, C/C++, CUDA (for GPU-accelerated computing)
AI/ML & Computer Vision: PyTorch, OpenCV, TensorRT, ONNX
Tools & Infrastructure: Linux, Docker, Kubernetes, Git, and CI/CD pipelines
Data & Streaming: Real-time video processing, RTSP/video streaming, and cloud platforms
What you’ll do
Build and maintain the real time software that powers Everseen’s vision AI pipelines, from video ingest through to model serving and downstream actions.
Design low latency, high throughput services that process live video across thousands of checkouts and stores.
Optimize performance across the stack, from video decoding and streaming through to GPU inference and memory use.
Build for reliability by handling failure, backpressure and scale so the system keeps running when stores are busy.
Contribute to shared libraries, tooling and standards, review code, and help keep the codebase healthy. Create, maintain, and run unit tests. Ensure documentation is created and maintained.
Debug hard problems in production environments where video, hardware and networks all interact.
Keep learning the stack, from streaming frameworks to GPU tooling, and bring good ideas back to the team.
Collaborating with
Profile and Skills
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.

Nice-to-haves

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Application prep

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Keywords to mirror

airustmldockerkubernetesci/cdpython

Platform: lever
Effort: quick

Benefits

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Vision