Software Engineer - Kafka
Join Applied Intuition to design and build large-scale data platforms for AI research and autonomy development.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 8 minutes ago
Skills & Technologies
Requirements
- Experience
- 2+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer will focus on developing large-scale data platforms that support AI research and autonomy systems, handling extensive sensor data from real-world scenarios. Proficiency in technologies like Apache Kafka, Spark, and Kubernetes is essential, alongside strong backend engineering skills. This position is ideal for engineers with at least two years of experience who thrive in fast-paced, collaborative environments and are eager to contribute to foundational projects. The team is in its early stages, offering a unique opportunity to shape the data infrastructure that underpins the company's ambitious goals.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Applied Intuition's careers page October 29, 2026.
- Python appears in 70.7% of 75 comparable mid data engineering roles in United States; Apache Spark appears in 1.3% of 75 comparable mid data engineering roles in United States.
Quick facts
- Is the Software Engineer - Kafka role remote?
- No — this is an on-site role in Sunnyvale.
- How much experience is required?
- At least 2 years of relevant experience for this Software Engineer - Kafka role.
- Where is the role based?
- Applied Intuition is hiring for this position in Sunnyvale.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Apache Hudi, Apache Kafka, Apache Spark, Flyte, Golang, Java.
- What seniority level is this role?
- Applied Intuition targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer - Kafka role at Applied Intuition.
From the original posting
About the role
As the data engine team, our goal is to provide a central data and machine learning platform that can be used across all verticals of the company. We’re looking for generalist engineers that want to build the foundations of a new workflow that spans:
Data ingestion from a production fleet
Data processing and storage (TBs/car/day)
Labeling infrastructure
Machine learning infrastructure
This group has a massive scope to define how product verticals across the company are deployed at scale for our customers given data and machine learning infrastructure is at the heart of the autonomy problem. We’re still very early in development so if you are interested in the “0-1” stage of building up a new team that interacts with teams across the company, this is a good fit.
At Applied Intuition, you will:
Design and build large-scale data platforms to support our AI research and autonomy stack development, handling petabytes of multimodal sensor data from real-world driving scenarios
Work on data curation and tagging platforms that enable efficient dataset discovery, labeling workflows, and quality assessment across diverse driving conditions
Build high-performance data processing systems using modern distributed computing frameworks to transform raw sensor data into training-ready formats
Use the following technologies: Apache Spark, Apache Hudi, Trino, Apache Kafka, Flyte, Kubernetes, Python, Golang, Java
We're looking for someone who has:
A Bachelor's degree in Computer Science, Software Engineering, or equivalent
2+ years of professional experience
Strong backend engineering experience
Problem-solving skills and experience working with cross-functional teams in fast-paced environments
Nice to have:
Hands-on experience with modern data stack technologies including Apache Spark, Hudi, Trino, Kafka, or similar distributed data processing frameworks
Knowledge of data lake architectures, streaming systems, and workflow orchestration platforms like Flyte
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.
Standard company text repeated across Applied Intuition's postings is omitted here.