Senior Software Engineer - Data Infrastructure
AI summary of the role
This role is for a senior infrastructure engineer in the Data & ML infra group, responsible for scaling open-source data infrastructure across the entire data lifecycle (collection, ingestion, storage, querying, retrieval).
What you’ll do
- 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
- 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
What you’ll bring
- 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
Technologies
Spark · Kafka · Hudi · Flyte · Kubernetes · Python · C++ · GoLang · Scala
About Applied Intuition
Builds the toolchain, vehicle OS and autonomy stacks that automakers, defense and off-road OEMs use to ship AI-driven vehicles.
Series F
Source and classification
Internal deployment & tooling · Evidence for this classification:
our expectation is that 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. 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
More from the job description
About Applied Intuition 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 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. About the role We are looking for infrastructure engineers with expertise in scaling open-so [... source excerpt omitted ...] echnical 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 sof [... source excerpt omitted ...] y offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $153,000 - $222,000 USD annually. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. Yo
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