Allen Control Systems Logo

Allen Control Systems

Computer Vision & Machine Learning, Staff

Posted Yesterday
Be an Early Applicant
In-Office
Austin, TX, USA
Expert/Leader
In-Office
Austin, TX, USA
Expert/Leader
Lead development of real-time computer vision and ML models for an autonomous anti-drone turret. Design and optimize resource-constrained models, integrate CV into embedded hardware, validate performance across environments, mentor junior engineers, and assist hardening the prototype to military-grade variants.
The summary above was generated by AI

Staff Computer Vision & Machine Learning for Autonomous Anti-Drone Systems

Company Overview:

Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two former Navy electrical engineers with a proven track record in 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 innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. 

What You'll Do:

  • Lead the development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
  • Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
  • Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
  • Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
  • Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
  • Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.

What You'll Need:

  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
  • At least a Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
  • 9+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
  • A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
  • Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
  • Experience with embedded systems and integrating computer vision algorithms into hardware.
  • Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
  • You enjoy mentoring and collaborating with other engineers to solve complex technical challenges.

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.


HQ

Allen Control Systems Austin, Texas, USA Office

Austin, TX, United States

Similar Jobs

5 Days Ago
Remote or Hybrid
USA
150K-190K Annually
Senior level
150K-190K Annually
Senior level
Artificial Intelligence • Computer Vision • Software • Transportation
As a Staff Software Engineer, you will lead the development of computer vision systems for sidewalk inspection, overseeing model lifecycle, system architecture, and mentoring while improving deployment practices.
Top Skills: AWSAzureGCPPython
12 Hours Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
The Staff Electrical Engineer will lead electronics development for the Apollo robot, focusing on system architecture, PCB design, testing, and compliance with safety standards, while mentoring staff and managing 3rd party relationships.
Top Skills: AIAltiumCad ToolsElectronics Lab ToolsLtspicePcbaPspiceRobotics
12 Hours Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
Develop and release electronic systems for a humanoid robot, overseeing design, testing, and collaboration with cross-functional teams, while mentoring junior engineers.
Top Skills: AltiumCad ToolsLtspicePspice

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account