Senior Software Engineer - Data Infrastructure

Mountain View, CA, USA

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Applied Intuition

Simulation and validation platform for automotive, trucking, construction, and more.

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About AppliedAutonomy is one of the leading technological advances of this century that will come to impact our lives. The work you’ll do at Applied will meaningfully accelerate the efforts of the top autonomy teams in the world. At Applied, you will have a unique perspective on the development of cutting edge technology while working with major players across the industry and the globe.
As the foremost enabler of autonomous vehicle development, Applied Intuition equips engineering and product teams with software that makes it faster, safer, and easier to bring autonomy to market. Applied’s suite of products, focused on simulation and analytics, delivers sophisticated infrastructure built for scale. Companies of all sizes use Applied to comprehensively test and rapidly accelerate their autonomous vehicle development. Headquartered in Silicon Valley with offices in Los Angeles, Detroit, Washington, D.C., Munich, Stockholm, Seoul, and Tokyo, Applied is composed of software and automotive experts from the top companies in the world (such as Google, Amazon, Apple, Waymo, Tesla, Delphi, GM, and Bosch).
About the Role(We are hiring for all levels of experience.)
We are looking for a Senior Data Infrastructure Engineer who is excited about building products that wrangle autonomous vehicle (AV) data to supercharge our customers. You will drive the design and development of data infrastructure across our products and internal tools. At Applied, we encourage all engineers to take ownership over technical and product decisions, closely interact with users to collect feedback, and contribute to a thoughtful, dynamic team culture.

At Applied, you will:

  • Design powerful data pipelines that efficiently process large volumes of AV sensor and telemetry data
  • Enable product workflows that expose performant query interfaces and offer easy-to-use integration hooks
  • Build features to tune processing pipeline for fast data ingestion and indexing depending on customer's needs and workloads
  • Develop and deploy high-quality software using modern tooling and frameworks
  • Work with products and teams across Applied Intuition
  • Work with customers across the AV ecosystem to understand their needs and the innards of their data systems

We’re looking for someone who:

  • Has experience with open source data processing frameworks (Spark, RabbitMQ, Kafka, etc.)
  • Has experience with different data lakes or warehouses
  • Has experience with containerization and other modern software development workflows
  • Takes initiative and ownership in a fast-paced environment

Nice to have:

  • Expertise with multiple modern programming languages (Python, C++, Go, etc.)
  • Prior work in enterprise software, including on-prem and/or cloud deployments
  • Prior work in either autonomy or simulation products


Autonomy is one of the leading technological advances of this century that will come to impact our lives. The work you’ll do at Applied will meaningfully accelerate the efforts of the top autonomy teams in the world. At Applied, you will have a unique perspective on the development of cutting edge technology while working with major players across the industry and the globe.
Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable federal and state law. Applicants should be aware that for external-facing roles that involve close contact with Company employees or other third parties on the Company's premises, accommodations that involve remaining unvaccinated against COVID-19 may not be deemed reasonable. The Company will engage in the interactive process on an individualized basis taking into account the particular position.

Tags: Data pipelines Engineering Kafka Open Source Pipelines Python Spark

Region: North America
Country: United States
Job stats:  6  0  0
Category: Engineering Jobs

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