Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions

About the role

We are looking for infrastructure engineers with expertise in scaling open-source data infrastructure to join the Data & ML infra group. This role will work across the entire data lifecycle (collection, ingestion, storage, querying, retrieval) and work directly with all business units across the company to design and develop both external and internal products. Handling massive volumes of data for Applied Intuition's platform needs is a critical area and we are looking for someone who can be hands-on in supporting our data products and verticals across the company. At Applied Intuition, we encourage all engineers to take ownership over technical and product decisions, closely interact with external and internal users to collect feedback, and contribute to a thoughtful, dynamic team culture.

At Applied Intuition, you will

Scale infrastructure to support all deployment types (cloud, hybrid, on-prem) and across regions

Be involved in the end to end data lifecycle, from the external-facing product to the underlying platform and infrastructure for it

Build features to tune processing pipeline for fast data ingestion and indexing depending on customer's needs and workloads

Enable product workflows that expose performant query interfaces and offer easy-to-use integration hooks

Develop and deploy high-quality software using modern tooling and frameworks, especially open-source technologies

We're looking for someone who has

A Bachelor's degree in Computer Science, Software Engineering, or equivalent

3+ years of professional experience

Experience with large-scale open source data technologies (Spark, Kafka, Hudi, Flyte, etc.)

Experience with containerization and other modern software development workflows

Knowledge of the open source landscape with judgment on when to choose open source versus build in-house

Nice to have

Expertise with modern programming languages (Python, C++, GoLang, Scala, etc.)

Experience with other open-source data technologies not listed above

Expertise with Kubernetes

Experience with enterprise software, including on-prem and/or cloud environments

Deep knowledge of data quality, data profiling and cleansing techniques

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.