Find Remote Jobs Worldwide & Work From Anywhere

At Density, we build one of the most advanced people sensing systems in the world. The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class. We build systems that are real-time, accurate, and anonymous by design. Our systems help today’s largest companies understand how their buildings get used. We have counted hundreds of millions of people. Counting people in “real-time” is unique and particularly hard to achieve. It allows a user to walk into a room, beneath our sensor, and see the room’s occupancy increment 700ms later. Today alone, Density will ingest over 1m events. In the coming year, our sensor network is on track to grow ten-fold. The overall system load is exploding. Maintaining our low latency standards requires an increasingly thoughtful system. We’re architecting infrastructure where annual, unscheduled downtime is measured in minutes. We’re building intelligent redundancies so missed events are an oddity. We’re constructing an exceptional engineering team to support always-on, intelligible analytics generated on the fly. This role reports to our Director of Data Science & Engineering. This is a hands on technical role with a management track. As the Data Engineering Team Lead at Density, you will help build out and lead a team of Data Engineers to provide ETL pipelines and infrastructure for core product Data Science capabilities at a fast paced startup in growth mode.

In this role you will:

• Define and collaborate on the big data IoT tech stack, using Apache Spark, Kafka, Python, and AWS.
• Make technology choices and to fill in the gaps for tool-chains and workflows.
• Work with software developers and data scientists to establish and implement good data engineering practices and processes.
• Work with hardware engineers to help interface data from cloud to hardware devices.
• Work with team members to keep projects on track and stakeholders informed.

The ideal candidate will have:

• 5+ years experience as a data engineerPython.
• Extensive knowledge of Python programing for data engineering.
• ETL - Experience implementing and monitoring production data pipelines.
• SQL - A working knowledge of SQLApache Spark (PySpark).
• An intermediate ability to write and debug Spark jobs Apache Airflow.
• Experience configuring and operating Apache Airflow for job executionApache Kafka.
• Admin and monitoring of high available Kafka installations on AWS.
• Linux command line - Working knowledge of linux command line and security.
• AWS cloud experience - EC2, S3, and IAM configuration and automation.
• Jira - Experience organizing projects in Jira and executing priorities to a team of data engineers.
• You have an awareness of your weak spots and a genuine desire to improve.
• You’re looking for a long-term role with a company that has long-term ambition.
• You can balance a demanding workload, discern priorities, and communicate tradeoffs effectively.

Bonus points if you:

• Experience with Python remote kernels (with Spyder or PyCharm).
• Knowledge of big data real-time streaming tools like Kafka Stream or Flink.
• Experience with image processing or complex sensor dataFamiliarity with C++

What we bring:

• A team hailing from places like Apple, Meraki, HashiCorp, Stanford, NASA, and beyond.
• $100M from investors such as Kleiner Perkins, Founders Fund, and Upfront Ventures.
• A work environment full of fun, smart, dedicated, and kind teammates.
• Our principles - Be Humble, Seek Feedback, and Solve the Fundamental Problem.
• Excellent health benefits including medical, dental, vision, mental, reproductive, and active. Mandatory PTO and more.

We are looking for candidates who are strong in several areas and have exposure to or interest in the others. Most of all, we are looking for candidates who see themselves as a meaningful addition to Density’s team and culture.

At Density, we build one of the most advanced people sensing systems in the world. The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit.

The team is thoughtful, driven, and world-class. Density systems are real-time, accurate, and anonymous by design. We help today’s largest companies understand how their buildings get used. We have counted hundreds of millions of people. Counting people in “real-time” is unique and particularly hard to achieve. It allows a user to walk into a room, beneath our sensor, and see the room’s occupancy increment 700ms later.

Today alone, Density will ingest over 1m events. In the coming year, our sensor network is on track to grow ten-fold. The overall system load is exploding. Maintaining our low latency standards requires an increasingly thoughtful system. We’re architecting infrastructure where annual, unscheduled downtime is measured in minutes. We’re building intelligent redundancies so missed events are an oddity.

We’re constructing an exceptional engineering team to support always-on, intelligible analytics generated on the fly. As a Backend Engineer at Density, you will be joining not only a team, but a company, that highly values you and the work you do.

This role reports to our Director of Software Engineering. You can read our values here.

What we're looking for:

• You have 5+ years experience shaping highly scalable enterprise systems. Or can demonstrate similar proficiency.
• You have a command of technologies like Time Scale DB, Redis, Kafka, Postgres, AWS, Django, and Python.
• You have architected complex data pipelines, APIs, and data delivery mechanisms.
• You have had significant senior responsibility for monitoring, profiling and improving system performance.
• You have demonstrated the ability to navigate the nuanced needs of internal tools and customer facing systems.

• You can balance a demanding workload, discern priorities, and communicate tradeoffs effectively.
• You are resourceful, direct, helpful, driven, and mission-oriented.
• You have an understanding of statistical analysis and trend data modeling.
• You have worked with container orchestration technologies like kubernetes or nomad.

• You embrace the opportunity to share your knowledge.
• You have a working knowledge of front end technologies like ES6, React, and Redux.
• You have an excitement for and ability to interact directly with customers.
• You have an awareness of your weak spots and a genuine desire to improve.
• You’re looking for a long-term role with a company that has long-term ambition.

What we bring:

• A team hailing from places like Apple, Meraki, HashiCorp, Stanford, NASA, and beyond.
• $100M from investors such as Kleiner Perkins, Founders Fund, and Upfront Ventures.
• A work environment full of fun, smart, dedicated, and kind teammates.
• Our principles - Be Humble, Seek Feedback, and Solve the Fundamental Problem.
• Excellent health benefits including medical, dental, vision, mental, reproductive, and active. Mandatory PTO and more.

We are looking for candidates who are strong in several areas and have exposure to or interest in the others. Most of all, we are looking for candidates who see themselves as a meaningful addition to Density’s team and culture.

At Density, we build one of the most advanced people sensing systems in the world. The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class.   Importance of Engineering   We build systems that are real-time, accurate, and anonymous by design. Our systems help today’s largest companies understand how their buildings get used. We have counted hundreds of millions of people.   Counting people in “real-time” is unique and particularly hard to achieve. It allows a user to walk into a room, beneath our sensor, and see the room’s occupancy increment 700ms later.    Today alone, Density will ingest over 1m events. In the coming year, our sensor network is on track to grow ten-fold. The overall system load is exploding. Maintaining our low latency standards requires an increasingly thoughtful system.   We’re architecting infrastructure where annual, unscheduled downtime is measured in minutes. We’re building intelligent redundancies so missed events are an oddity. We’re constructing an exceptional engineering team to support always-on, intelligible analytics generated on the fly.   Real-time can solve one of the world’s most fundamental problems -- how do humans use all this space? Last week we launched Safe by Density to help organizations safely return to the workplace. This product, a singular example, would not have been possible without real time data.    This is a large, nuanced, deeply technical problem. We need your help solving it.    You can read our values here.    This role reports to our Director of Software Engineering. 

What we're looking for:

• You have 5+ years experience shaping highly scalable enterprise systems. Or can demonstrate similar proficiency. 
• You have a command of technologies like Time Scale DB, Redis, Kafka, Postgres, AWS, Django, and Python.
• You have architected complex data pipelines, APIs, and data delivery mechanisms.
• You have had significant senior responsibility for monitoring, profiling and improving system performance. 
• You have demonstrated the ability to navigate the nuanced needs of internal tools and customer facing systems.
• You can balance a demanding workload, discern priorities, and communicate tradeoffs effectively.
• You are resourceful, direct, helpful, driven, and mission-oriented.
• You have an understanding of statistical analysis and trend data modeling.
• You have worked with container orchestration technologies like kubernetes or nomad.
• You embrace the opportunity to share your knowledge. 
• You have a working knowledge of front end technologies like ES6, React, and Redux. 
• You have an excitement for and ability to interact directly with customers. 
• You have an awareness of your weak spots and a genuine desire to improve. 
• You’re looking for a long-term role with a company that has long-term ambition. 

At Density, we build the infrastructure necessary to measure how people use space. The result of distributing this platform is lower emissions, less waste, better access, safer buildings, and better designed cities. It is a long term pursuit and one we could use your help achieving. The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class.   Importance of Data Science & ML at Density At its core, Density boils down to its real-time people counting algorithm. We are only as good as our data and our engineers. Density’s Data Science team is uniquely challenged with accurately counting people using a variety of sensors that focus on anonymity at the source. If you get excited about using cutting-edge lasers, radar, and lidar tech and building advanced machine learning algorithms that process billions of data points, you should join our team. As Head of Data Science & ML, you will be leading some of the most technical teams with the widest skill sets at Density. Everything from our machine learning algorithms on the embedded devices, to the cloud software the CS & Engineering team use to evaluate our accuracy and performance, will be under your supervision.

Who you are:

• You thrive when developing great people, not just great products
• You have experience in cultivating a strong engineering culture in an agile environment
• You have previous experience developing large scale production ML systems
• You are either an experienced manager or a senior individual contributor with strong people skills and leadership experience
• You have previous industry experience with large scale ML systems using frameworks such as PyTorch, Tensorflow, and Scikit-learn
• You're familiar with the industry trends and keep up with the latest product offerings, and can understand trade-offs of existing solutions
• Ideally, you're actively engaged in the ML community (open source, meetups)  

The ideal candidate will have:

• 5+ years experience working as a Machine Learning Engineering Manager
• 3+ years experience as a software engineer focused on ML and Algorithm tooling
• Experience with embedded systems and hardware engineering (Buildroot / Linux)
• Experience with Cloud APIs and Software Application development (Django / Python)

When someone installs Density in a location, they get access to real time, accurate people count. Our API is the foundational component that customers rely on when integrating and interacting with our data. Making people-count data highly available, in a real-time setting, means all underlying systems must be continuously operational and ready to scale at a moment's notice. We’re looking for an engineer to grow our infrastructure to handle the needs of our product. This means playing a large role in both the hardware and software teams, crafting the deployment, orchestration, and management systems to power Density. This position reports to Density's Director of Software Engineering.

Here's what we're looking for

• Strong writing skills; ability to craft clear and concise documentation
• Strong background in Linux/Unix Administration
• Strong experience with deployment orchestration using Nomad, Consul, and Docker, and Kubernetes
• Experience with automation and configuration management using Ansible, Chef, Puppet or an equivalent
• Deep knowledge of the AWS stack
• Ability to design and manage CI / CD pipelines (CircleCi)
• Strong grasp of modern Python development
• Experience with management of networking and VPNs
• Experience managing software releases across multiple git repositories
• Experience with relational, non-relational, and time-series data stores 

Icing on the cake

• An academic background in Computer Science (BSc or MSc) or equivalent
• Experience building APIs and web applications (Django, Flask, Rails, etc)
• Familiar with software build systems such as CMake, Autotools, and Make
• Familiar with repo aggregators such as Android's git-repo

At Density, we build one of the most advanced people sensing systems in the world. The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class.   Importance of Engineering   We build systems that are real-time, accurate, and anonymous by design. Our systems help today’s largest companies understand how their buildings get used. We have counted hundreds of millions of people.   Counting people in “real-time” is unique and particularly hard to achieve. It allows a user to walk into a room, beneath our sensor, and see the room’s occupancy increment 700ms later.    Today alone, Density will ingest over 1m events. In the coming year, our sensor network is on track to grow ten-fold. The overall system load is exploding. Maintaining our low latency standards requires an increasingly thoughtful system.   We’re architecting infrastructure where annual, unscheduled downtime is measured in minutes. We’re building intelligent redundancies so missed events are an oddity. We’re constructing an exceptional engineering team to support always-on, intelligible analytics generated on the fly.   Real-time can solve one of the world’s most fundamental problems -- how do humans use all this space? Last week we launched Safe by Density to help organizations safely return to the workplace. This product, a singular example, would not have been possible without real time data.    This is a large, nuanced, deeply technical problem. We need your help solving it.    You can read our values here.    This role reports to our Director of Software Engineering. 

What we're looking for:

• You have 5+ years experience shaping highly scalable enterprise systems. Or can demonstrate similar proficiency. 
• You have a command of technologies like Time Scale DB, Redis, Kafka, Postgres, AWS, Django, and Python.
• You have architected complex data pipelines, APIs, and data delivery mechanisms.
• You have had significant senior responsibility for monitoring, profiling and improving system performance. 
• You have demonstrated the ability to navigate the nuanced needs of internal tools and customer facing systems.
• You can balance a demanding workload, discern priorities, and communicate tradeoffs effectively.
• You are resourceful, direct, helpful, driven, and mission-oriented.
• You have an understanding of statistical analysis and trend data modeling.
• You have worked with container orchestration technologies like kubernetes or nomad.
• You embrace the opportunity to share your knowledge. 
• You have a working knowledge of front end technologies like ES6, React, and Redux. 
• You have an excitement for and ability to interact directly with customers. 
• You have an awareness of your weak spots and a genuine desire to improve. 
• You’re looking for a long-term role with a company that has long-term ambition.