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# Senior Software Engineer Python

- **Company:** VOXEL51, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $200,000 - $225,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Data Infrastructure, Distributed Systems, Elasticsearch, Fault Tolerance, Python (Programming Language), Machine Learning, MongoDB, NoSQL, Software Engineering, TypeScript, Unstructured Data, Scripting, Pytorch, Backend, Kubernetes, Information Technology, Production Code, Data Management, Machine Learning Operations
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-python--7264806b-80d3-463c-93d7-3dfa252ca98a

## About the Role

Software Engineering, Python Programming/Scripting Language, Artificial Intelligence (AI), Unstructured Data, Data Modeling, Data Management, Autonomous Driving Systems, Medical Imaging, Agriculture, Willing to Travel, * 8+ years of professional software engineering experience building maintainable, scalable systems and architectures, including ownership of large backend or data infrastructure projects end to end.

 * Experience building distributed systems or data/ML pipelines that process large volumes of data (e.g., job orchestration, queues, workers, batch and streaming workloads).
 * BS or MS in computer science or a related field.
 * Expertise with Python.
 * Expertise with NoSQL databases (MongoDB, DocumentDB, Elasticsearch).
 * Ability to work in a remote-first, collaborative environment.
 * Experience with TypeScript is an asset.
 * Experience with ML model serving or inference (GPU workloads, PyTorch, Triton, etc.), Kubernetes, and cloud object storage is an asset.
 * Experience working with unstructured or multimodal data (images, video, embeddings) is an asset.

## Description

* Own the architecture and implementation of core infrastructure for applying models (embeddings, detection, segmentation, VLMs, and custom models) across massive multimodal datasets, from orchestration and scheduling to result storage and retrieval.
 * Design distributed, fault-tolerant pipelines for batch and on-demand inference over petabyte-scale image and video collections, optimizing for throughput, cost, and GPU utilization.
 * Build the enterprise APIs, backend services, and UIs that expose this infrastructure to users, from individual researchers to Fortune 500 teams.
 * Scale our enterprise solution, deployed in customers' own clouds and on prem, to support the largest vision AI datasets in existence.
 * Define the abstractions and extension points that let customers plug in their own models, data sources, and compute environments.
 * Write production code that is maintainable, flexible, performant, and well tested.
 * Contribute to the department through tooling, automation, observability, and best practices.