We're looking for a new grad software engineer to join our team building the infrastructure that powers robotics and autonomous systems at scale. You'll work across the full stack - from on-device software running on robots in the field to cloud systems ingesting and serving massive volumes of sensor data. This role is ideal for someone who's excited about robotics and wants to build the foundational tooling that robotics engineers rely on every day.
Responsibilities
Integrating with robotics frameworks (such as ROS) and building reliable, low-resource software to run on a wide range of devices
Providing connectivity, observability, and telemetry for devices operating in constrained or field environments
Ingesting massive volumes of sensor data through both batch and realtime pipelines
Building systems for low-latency, random-access playback over large volumes of live or recorded multimodal data
Developing product features to help robotics engineers organize, search over and serve their data for training ML models.
Designing and operating distributed systems to collect, transform, and serve observability and analytics data
Working across multi-cloud environments (GCP, AWS, Azure), including deployments in customer cloud accounts
Our Technical Stack
Rust
TypeScript
PostgreSQL
Kubernetes
GCP, Azure and AWS
Agentic coding tools (Claude Code / Cursor)
Requirements
Bachelor's or Master's degree in Computer Science, Robotics, or a related field (recent graduates or graduating in 2026)
Hands-on experience with robotics systems - through internships, research, or significant academic projects (e.g., ROS, autonomous vehicles, embedded systems, robot perception/planning)
Experience writing software in Rust, C++, or TypeScript
Familiarity with building on-device or embedded software with resource constraints
Exposure to distributed systems concepts, cloud infrastructure, or data-intensive applications
Interest in observability, monitoring, and developer tooling
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:
Published robotics research or contributions to open-source robotics projects
Experience with autonomous vehicle (AV) software stacks
Familiarity with sensor data pipelines (lidar, camera, IMU, etc.)
Experience with Spark/Databricks or large-scale data processing
Exposure to infrastructure-as-code (Terraform), Kubernetes, or cloud provider administration
Experience building REST APIs or user-facing interfaces in React
Interesting personal projects that solved a real problem
Benefits
$300 monthly budget towards commuter benefits or building your personal workspace (remote only)Competitive equity grant in a Series B companyMedical, Dental, Vision, and Term Life insurance coverage at 100% for employees and 75% for dependents401(k) matching up to 4%4 weeks vacation, plus holidays and winter breakAll expenses paid company off-sites 1-2× per yearWhy Join UsImpact: 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.Dental insuranceVision insurance401(k)Paid time offRemote work optionsEquity / stock optionsPerformance bonus
Additional Information
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.
Foxglove · San Francisco, CA