Argo AI was founded to tackle one of the most challenging applications in computer science, robotics and artificial intelligence with self-driving vehicles. Argo AI is developing and deploying the latest advancements in artificial intelligence, machine learning and computer vision to help build safe and efficient self-driving vehicles that enable these transformations and more. The challenges are significant, but we are a team that believes in tackling hard, meaningful problems to improve the world. 

We are building a high-performance team that is excited by complex engineering challenges and is passionate about making transportation safer, more affordable and accessible for all.

The Analytics team is responsible for delivering the platform and services needed to ingest, transform, store, query, and visualize the data needed to provide actionable insights and drive decision making at Argo AI. This team will serve the analytics needs of the entire organization including Hardware, Software, Operations, Management, and Support teams. We are hiring Analytics Infrastructure Engineers who will own the engineering and support of the Analytics platform and related tooling. This is a high visibility role that will provide the opportunity to learn about, interact with, and add significant value to every part of our company supporting our goal of building safe and efficient self-driving vehicles.

What you’ll do: 

  • Architect, implement, and support our new Analytics platform infrastructure and associated tooling
  • Collaborate with internal customers to define and deliver features and tools
  • Automate the build, test, deployment, monitoring and support of deliverables
  • Own initiatives from inception to implementation
  • Participate in code and architecture reviews
  • Follow and promote infrastructure engineering and analytics best practices across the organization
  • Work with cloud, big data, and analytics technologies (AWS, S3, Spark, Hadoop, Zeppelin, etc.)
  • Develop software with Python and associated frameworks / tools in support of infrastructure

What we’re looking for:

  • Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field
  • Strong team player that can collaborate effectively with others
  • Experience building highly scalable, reliable, and maintainable data systems
  • Experience managing data warehouse technology like Redshift, BigQuery, or Snowflake
  • Experience managing relational databases like MySQL or Postgres and intermediate level SQL skills
  • Experience supporting deployments of Business Intelligence tooling like Looker
  • Experience working with infrastructure tooling like Airflow / Luigi for workflow management and ELK for logging
  • Experience working with the Hadoop ecosystem such as Spark or Impala
  • Strong programming skills in relevant languages, associated tools & frameworks, preferably with Python
  • Experience working with cloud-based infrastructure platforms (such as AWS or GCP) 
  • Working proficiency with containers and orchestration frameworks like Docker and Kubernetes
  • Strong presentation and communication skills 

At Argo AI, we have a strong emphasis on creating a highly effective team environment. Thus, we seek candidates that can work effectively with others across a broad range of disciplines.

Argo AI is an equal opportunity employer that believes in diversity as a strength and is committed to creating an inclusive environment for all employees.

We know it takes competitive benefits to fuel a team that works hard and enjoys the challenge. At Argo AI, you can expect stellar perks to support your best self:

  • High-quality individual and family health, dental, and vision insurance
  • Competitive compensation packages
  • Employer-matched 401(k) retirement plan
  • Paid parental leave
  • Unlimited vacation
  • Daily catered lunches and snacks
  • Free onsite or adjacent parking
  • Commuter reimbursement
  • Fitness reimbursement
  • Professional development reimbursement

Argo AI is a LinkedIn Top 50 Startup 

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