We design compensation at Foxglove to support talented people doing their best work. The posted range represents our standard pay band for this role. Actual compensation is tailored to each candidate based on current market benchmarks, experience, and location. Every job posting also highlights the benefits and resources we offer to help our teammates grow and feel supported.

Build the data infrastructure for robots operating in the real world.

Robotics is moving from research labs into production across factories, warehouses, vehicles, and field deployments. When robots fail, behave unexpectedly, or need to be improved, engineers rely on data to understand what actually happened.

At Foxglove, we build the observability, visualization, and data infrastructure that makes that possible. Our tools are used by robotics and autonomous systems teams to ingest, store, query, replay, and analyze massive volumes of multimodal sensor data from live systems and from production fleets.

The Role

We're looking for a senior engineer who can operate at the intersection of large-scale data infrastructure and applied ML. You'll design and operate the pipelines that ingest, store, search and curate petabyte-scale multimodal sensor data, and build the retrieval and ML systems that sit on top of it — semantic search, embeddings, inference at scale — to turn that data into something developers can actually explore, mine, and learn from.

This is a hands-on, application-driven role. You'll own real product and architecture decisions, not implement someone else's design, and what you build ships to customers.

Our technical stack includes:

• Node.js (TypeScript) and Rust for services

• PostgreSQL and vector databases

• Model serving

• Managed Kubernetes on GCP, with customer deployments across AWS and Azure

What You’ll Do

• Design and build search and curation systems for enabling ML engineer customers to inspect and utilize data

• Build low-latency, random-access playback systems that let users explore live or recorded data across devices, time ranges, and sensor modalities

• Stand up semantic and hybrid search over multimodal robotics data (video, point clouds, images, timeseries) — including vector database integrations and embedding application pipelines

• Deploy and operate inference infrastructure for production ML workloads: model serving, scaling, latency and cost optimization

• Architect and maintain multi-cloud deployments across GCP, AWS, and Azure, including components that run inside customer-managed environments

• Partner with product engineers to ship application-driven features to developers building the cutting edge of robotics and physical AI — not prototype experiments

• Make thoughtful build vs. buy calls: identify the right off-the-shelf ML and data solutions and adapt them for production

What we're looking for

• 8+ years of professional experience writing high-performance production software

• Strong backend engineering experience, providing high performance APIs to consumers

• Hands-on experience with production ML infrastructure — cloud inference, model serving frameworks (TorchServe, vLLM, Triton), and cost/latency optimization

• Experience with retrieval systems: vector databases and text/image embedding models

• Solid distributed systems fundamentals, including SQL query planning and scaling data workloads

• A bias toward application and product impact over research — you're energized by shipping things that work, not writing papers

• Ability to thrive in a fast-paced, small-team environment with real ownership and loosely defined scope

• Considers customer impact when making technical decisions

• Excellent written and verbal communication — you can explain data and systems tradeoffs to non-specialist engineers

Bonus points

• Robotics or AV experience, especially with AV data or sim infrastructure

• Significant experience building REST APIs in TypeScript, Go, and/or Rust

• Experience deploying and operating multi-cloud data systems (GCP/AWS/Azure) and familiarity with cloud-native data infra (S3, BigQuery, Redshift, etc.)

• Strong background in observability and performance monitoring for data systems

• Real-time analytics or multimodal sensor processing experience

• Experience with data mining or hybrid search workflows in robotics, AV, or physical AI contexts

• Experience building ML tooling, data management, and evaluation frameworks from scratch

• Infrastructure management (IaC/Terraform, Kubernetes, cloud security)

Why Join Us

• Impact: Own growth at a fast-growing, high-leverage moment for the company.

• Mission: Accelerate the development of the next generation of robotics and embodied AI.

• Team: Work with world-class engineers, designers, and researchers passionate about open-source and developer tools.

• Ownership: Drive initiatives end-to-end, with high autonomy and visibility.

Compensation Range: $183K - $275K