Senior Edge AI Engineer: Data Pipelines; Remote

Staff Software Engineer, Edge AI Systems

Job type:
Full Time
· Department:
Solutions Engineering
· Work type:
Remote

Archetype AI is developing the world's first AI platform to bring AI into the real world. Formed by an exceptionally high-caliber team from Google, Archetype AI is building a foundation model for the physical world, a real-time multimodal LLM for real life, transforming real-world data into valuable insights and knowledge that people will be able to interact with naturally. It will help people in their real lives, not just online, because it understands the real-time physical environment and everything that happens in it.

Supported by deep tech venture funds in Silicon Valley, Archetype AI is currently pre-Series A, progressing rapidly to develop technology for their next stage. This presents a unique and once-in-a-lifetime opportunity to be part of an exciting AI team at the beginning of their journey, located in the heart of Silicon Valley.

Our team is headquartered in Palo Alto, California, with team members throughout the US and Europe.

We are actively growing, so if you are an exceptional candidate excited to work on the cutting edge of physical AI and don’t see a role that exactly fits you below you can contact us directly with your resume via jobsarchetypeaiio.

Archetype AI is building Newton, our multi-sensor data fusion AI platform. We are seeking a Staff Software Engineer to own data processing and analysis across our edge devices and platform, from raw sensor ingestion through prepared, validated datasets ready for AI workflows.

This role sits at the intersection of data engineering and device software. You will build high-performance data pipelines in C++ that run on small Linux devices, and apply rigorous analytical techniques using Python to explore, validate, and understand sensor and video data. You will work hands-on with real-world customer data, exploring, cleaning, transforming, and validating it, while also building the device software that makes this processing reliable and performant in constrained environments.

This is a Staff-level individual contributor role reporting to the Head of Solutions Engineering, working closely with Product, Design, Platform, and AI teams as part of the broader Go-To-Market (GTM) organization. You will frequently work directly with customers to support deployments and build production-ready solutions.

• Analyze raw data using Python for statistical analysis, visualization, and exploratory techniques to understand quality, patterns, and anomalies.
• Prepare datasets for AI workflows: cleaning, normalization, imputation, filtering, resampling, and validation.
• Execute iterative preprocessing cycles: refine transformations, evaluate results, compare against baselines, retain improvements.
• Build tooling for data validation, quality monitoring, and automated preprocessing.
• Generate clear reports and visualizations that communicate findings to technical and non-technical stakeholders.

• Build and optimize data processing software in C++ that runs on small, resource-constrained Linux devices.
• Ensure pipelines meet real-time performance requirements: low latency, bounded memory, reliable throughput.
• Integrate sensor inputs and manage data flow on-device: ingestion, buffering, local processing, and transmission.
• Work within device constraints: limited CPU, memory, storage, and intermittent connectivity.
• Contribute to device deployment, configuration, and operational tooling.

• Partner with Solutions Engineers to assess customer data assets and deployment requirements.
• Translate customer data challenges into reusable pipeline components and analysis workflows.

• 7+ years in data engineering, data analysis, or related technical roles with hands-on data processing focus.
• Deep experience with time-series data (video a plus): ingestion, preprocessing, feature extraction, quality assessment.
• Proven ability to apply diverse analytical techniques: statistical analysis, signal processing, visualization,…