Platform Engineer, Data

Allencontrolsystems; Austin (TX); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

ACS Equity Package

Health, Dental, Vision Insurance

Paid Time Off

Job summary

Allen Control Systems is seeking a Data Platform Engineer in Austin, Texas. In this role, you will develop scalable data infrastructure focused on data curation and optimization for AI and Machine Learning applications. You will collaborate with ML engineers and apply your expertise to ensure high integrity data for model training.

We offer a competitive salary, equity package, and health benefits. Join us in our mission to create impactful technologies in a dynamic and innovative environment.

Qualifications

• 3+ years of experience in data engineering or equivalent fields.
• Solid understanding of data structures and systems design.
• Proficient with AWS, Python, SQL, and Linux.

Responsibilities

• Design and develop scalable data infrastructure.
• Implement approaches to optimize datasets for model training.
• Coordinate collection of real-world data and label creation.

Skills

AWS for data management

Python for scripting and data processing

SQL

Linux

Data structures and systems design

Education

Bachelor’s or Master’s degree in Computer Science or a related field

Tools

PyTorch DeepCore

Unreal Engine

Job description

Allen Control Systems (ACS) is acutting-edgedefense startup founded by two ex-Navy electrical engineers with a proventrack recordin robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.

With an engineering-first culture, ACS values technical excellence and continuous learning. Backed by our founders' successful exits from twopreviousventuresacquiredfor a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop have a real-world impact.

Position Overview:

We are seeking a Data Platform Engineer who combines expert-level datainfrastructure skills with a strong knowledge of AI & Machine Learning principles. In this role, you will go beyond simple data validation scripts; you will apply your understanding of model training dynamics to design and implement existing and novel approaches to optimize our datasets.

You will build and maintain large-scale image and video pipelines, but with a focus on data curation strategies—such as coreset selection, embedding-based filtering, and automated complexity scoring. You’ll partner closely with our ML engineers to orchestrate ingestion, synthetic data generation, and versioned releases, ensuring that every dataset is not only high-integrity and available but strictly optimized to maximize model performance.

What You'll Do:

• Design and develop a scalable data infrastructure, focusing on organization and curation to support continuing increases in data volume and complexity
• Design and implement existing and novel approaches to optimize datasets for model training (e.g., hard example mining, class balancing, de-duplication, embedded-based filtering)
• Support the data infrastructure required for optimal ingestion, transformation, and storing of datasets
• Develop and use synthetic data generation workflows to create realistic synthetic training data for computer vision models
• Design and own end-to-end image and video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization
• Coordinate collection of real-world data; coordinate label creation and QA with labelers
• Develop and use data quality tooling: metrics for balance, drift, and annotation error; active-learning sampling to target gaps; feedback loops from production back to curation
• Implement and own dataset versioning, release management, and lineage and metadata cataloging

What You'll Need:

• 3+ years of experience in data engineering or equivalent fields
• Solid understanding of data structures and systems design for orchestrating data-related workflows in a rapidly growing environment
• Proficient in using AWS for data management and processing
• Proficient in Python for scripting and data processing; proficient with SQL and Linux
• Educational Background: Bachelor’s or Master’s degree in Computer Science or a related field
• Proven ability to communicate well across engineering teams, and write and maintain effective documentation

You’ll Stand Out:

• 5+ years of industry experience
• Experience in image/video data engineering for computer vision projects
• Experience with PyTorch DeepCore
• Experience with Unreal Engine

What We Offer:

• Competitive salary
• ACS Equity Package
• Health, Dental, Vision Insurance
• Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.