Staff Backend Engineer

Sorry, this job was removed at 03:12 p.m. (PST) on Tuesday, Oct 22, 2024
Remote
7+ Years Experience
Robotics
The Role

Robotics will have a massive positive impact on the world economy and global human productivity over the coming decade. At Foxglove, we're excited for this future, and we're building powerful open source & commercial tools to accelerate it.

We're an experienced team of independent thinkers, with a passion for creating high quality products. We're looking for self-motivated and fast-learning individuals to join our mission.

About the role

Foxglove is a robotics observability and visualization platform. We manage and provide access to large amounts of data across both our hosted platform and customer sites.

We’re seeking a highly skilled product and data-oriented Backend Engineer with professional experience delivering streaming and analytic workloads for robotics data. You’ll work with other engineers to design and develop our backend services, data processing pipelines, and interfaces.

Challenges:

  • Ingesting massive volumes of sensor data through both batch and realtime offload
  • Providing low-latency random-access (in device, time, sensors) playback over massive volumes of live or recorded data 
  • Multi-cloud architecture (we deploy in customer cloud accounts across GCP/AWS/Azure) 
  • Offloading data from remote devices in network constrained environments

Our technical stack includes:

  • Ingestion, streaming, and other compute services in Go
  • Node.js (TypeScript)
  • PostgreSQL
  • Managed Kubernetes environments in GCP
  • Customer deployments in Azure and AWS

Location

We're a small, remote-only company, with staff in the U.S. and Australia. We meet daily to connect socially, brainstorm, and share progress.

For this position, we're looking for someone in North America.  

What we're looking for

  • 8+ years professional experience in writing high-performance production software
  • Significant professional experience using Go or Rust 
  • Strong experience with a SQL database, query plan optimization, and scaling data workloads
  • Experience with one or more cloud object stores and other data storage mechanisms
  • Familiarity  with SQL-backed REST APIs
  • Familiarity with Kubernetes
  • Passion for building technical tools with engineers as the primary users
  • Comfortable participating in on-call rotations
  • Excellent written & verbal communication skills
  • Ability to thrive in a fast-paced, small team environment
  • Considers the customer impact when making technical decisions

Bonus points

  • Robotics or AV experience
  • Experience with Spark/Databricks (data sources, Spark SQL, query optimization, administration)
  • Infrastructure management (IaC/Terraform, k8s, cloud providers, security)

What we offer

  • For this role we offer $175,000 to $225,000 salary
  • Work remotely
  • $300 monthly remote budget to build your personal workspace
  • Competitive equity grant in a Series A company
  • Medical insurance coverage at 90% for employees and 75% for dependents (US full time employees only)
  • 401k matching (US full time employees only)
  • 4 weeks vacation, plus holidays 
  • All expenses paid company off-sites 2x/year
The Company
HQ: San Francisco, CA
24 Employees
On-site Workplace

What We Do

At Foxglove, we’re building powerful tools to accelerate robotics development. We believe that robotics will have a massive impact on our daily lives and the world economy over the coming decade, and that better quality software tooling will significantly accelerate this trend. Our team’s years of experience working in the robotics and self-driving industries means we are uniquely positioned to bring the advanced tools built in-house at larger companies to the increasing number of startups in this space, across a wide range of verticals.

Our first product, Foxglove Studio, is an open source visualization and diagnosis platform, specifically designed for working with robotics and sensor data. It allows you to easily inspect sensor inputs such as images, point clouds, and time series data, via a highly customizable 2D & 3D environment.

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