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.

About the Role We're looking for a new grad Machine Learning Engineer to join our team building the ML infrastructure that powers robotics and autonomous systems at scale. You'll work at the intersection of applied ML and production systems — from selecting and deploying models against high-cardinality multimodal robotics data to building the foundational ML tooling that robotics engineers rely on every day. This role is ideal for someone who's excited about physical AI and wants to ship things that work in production, not write papers.
Key Responsibilities

Building and owning inference infrastructure — model serving, scaling, latency/cost optimization (think TorchServe, vLLM, Triton)
Selecting models for object detection/understanding, embedding computation, text captioning, and more — applied against high-cardinality, multimodal robotics data (video, point clouds, timeseries)
Standing up semantic search over petabyte-scale robotics data using vector databases and embedding models
Designing evaluation and training pipelines so the team can iterate quickly on model performance
Ingesting and serving massive volumes of sensor data through batch and realtime pipelines
Developing product features to help robotics engineers organize, search over, and serve their data for training ML models
Making real build-vs-buy decisions on cloud architecture across multi-cloud environments (GCP, AWS, Azure)
Collaborating with product engineers to ship features that go directly to customers building robotics and autonomous systems

Our Technical Stack

Rust, TypeScript, PostgreSQL
Kubernetes
GCP, Azure, and AWS
Agentic coding tools (Claude Code / Cursor)

What We're Looking For

Bachelor's or Master's degree in Computer Science, Robotics, or a related field (recent graduates or graduating in 2026)
Hands-on ML experience — through internships, research, or academic projects — with a bias toward applied/production work over research
Familiarity with ML frameworks and inference tooling (e.g., PyTorch, TorchServe, vLLM, Triton, or similar)
Experience writing software in Python, Rust, C++, or TypeScript
Exposure to distributed systems concepts, cloud infrastructure (GCP, AWS, Azure), or data-intensive applications
Familiarity with vector databases, embedding models, or retrieval systems
Familiarity with SQL databases and an interest in query engines, big data storage and retrieval, and data-intensive systems
Passion for building technical tools where engineers are the primary users
Excellent written and verbal communication skills
Eagerness to learn and thrive in a fast-paced, small team environment
A mindset that considers customer impact when making technical decisions

Bonus Points

Experience with model optimization techniques — quantization, distillation, mixed precision, or TensorRT
Familiarity with fine-tuning or domain adaptation for vision, language, or multimodal models
Experience with sensor data pipelines (lidar, camera, IMU, etc.) or autonomous vehicle software stacks
Published robotics or ML research, or contributions to open-source projects
Experience with Spark/Databricks or large-scale data processing
Exposure to infrastructure-as-code (Terraform), Kubernetes, or cloud provider administration
Interesting personal projects that solved a real problem

What We Offer

$300 monthly budget towards commuter benefits or building your personal workspace (remote only)
Competitive equity grant in a Series B company
Medical, Dental, Vision, and Term Life insurance coverage at 100% for employees and 75% for dependents
401(k) matching up to 4%
4 weeks vacation, plus holidays and winter break
All expenses paid company off-sites 1–2× per year

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.

Software Engineer, New Grad