Allen Control Systems Logo

Allen Control Systems

Computer Vision & Machine Learning Engineer - All Levels

Sorry, this job was removed at 02:06 p.m. (PST) on Monday, Sep 28, 2026
In-Office
Mountain View, CA, USA
94K-270K Annually
Mid level
In-Office
Mountain View, CA, USA
94K-270K Annually
Mid level

Similar Jobs at Allen Control Systems

Expert/Leader
Artificial Intelligence • Computer Vision • Machine Learning • Robotics • Defense • Manufacturing
Leads computer vision, machine learning, and tracking teams while translating AI strategy into roadmaps, standards, and deliverables. Manages managers, mentors technical staff, coordinates cross-disciplinary engineering efforts, owns schedule execution, and drives integration risk resolution. Establishes model evaluation and reproducibility practices, reviews code, develops prototypes, and supports architecture decisions for real-time perception systems.
Top Skills: C++MlopsOpencvPythonPyTorchTensorrt
9 Days Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Computer Vision • Machine Learning • Robotics • Defense • Manufacturing
Lead the supplier quality program across qualification, audits, performance management, corrective actions, and risk reduction. Partner with Supply Chain, Engineering, Manufacturing, and Quality teams during supplier development, new product introduction, production ramp, and first article inspections. Establish scorecards, quality standards, inspection strategies, and scalable processes aligned with AS9100 and ISO 9001. Resolve supplier nonconformances, drive root-cause analysis and SCAR closure, support audits, and mentor the growing supplier quality function.
Top Skills: 5 Why8DApqpAs9100As9102CapaControl PlansErp/MrpFaiFishboneGd&TIso 9001PfmeaPpapQuality Management SystemsScar
Internship
Artificial Intelligence • Computer Vision • Machine Learning • Robotics • Defense • Manufacturing
Build and integrate 3D assets, materials, shaders, animations, visual effects, tools, and content workflows in Unreal Engine 5. Collaborate with engineers and technical artists to develop real-time visual systems, automate pipelines with Blueprints and Python, investigate graphics and performance issues, and document technical decisions. The intern will contribute to projects involving Nanite, Lumen, Niagara, Chaos, and other real-time technologies.
Top Skills: 3Ds MaxBlenderBlueprintsC++ChaosControl RigHlslHoudiniLumenMayaNaniteNiagaraPixPythonRenderdocUnreal Engine 5Unreal Engine Material EditorUnreal Gpu VisualizerUnreal Insights
Develop and optimize real-time computer vision and ML systems for detecting, tracking, and classifying drones on an autonomous gun turret. Implement resource-efficient models, integrate vision systems with hardware, and validate performance across diverse, challenging environments to harden prototypes to military-grade standards.
The summary above was generated by AI

Company Overview
ACS (Allen Control Systems) is a defense technology company building precision robotic systems for the United States and its allies. Founded by two former U.S. Navy electrical engineers with deep experience in robotics and software, ACS brings together AI, computer vision, precision motion, and advanced hardware to solve complex defense challenges across land, air, and maritime environments.

Our flagship product, Bullfrog, is an autonomous precision weapon system that transforms existing weapons into highly accurate counter-drone systems — giving warfighters a scalable, cost-effective response to one of the fastest-growing threats on the modern battlefield. Bullfrog is deployed with U.S. forces, and ACS works with organizations throughout the U.S. military and national security community.

Following a $200 million Series B at a $2.2 billion valuation, ACS is rapidly expanding manufacturing, accelerating Bullfrog deployments, and developing the next generation of autonomous battlefield systems. This is an opportunity to join a proven, fast-moving team and help scale technology with direct, real-world impact on national security.

ACS is headquartered in Austin, Texas, with additional operations in Alexandria, Virginia; Mountain View, California; and Huntsville, Alabama. For more information, visit allencontrolsystems.com.

About The Role

We are looking for a Computer Vision and Machine Learning Engineer to develop and optimize the CV/ML systems at the core of our autonomous gun turret, with a focus on real-time drone detection, tracking, and classification. ACS is hiring across multiple experience levels for this role, from Associate through Senior Staff; your title and level will be determined based on your experience, skills, and scope of responsibility. You will work closely with electrical engineers to integrate vision systems into the turret’s hardware architecture and contribute to hardening the prototype into a military-grade system.

We’re hiring across multiple experience levels, including:

Associate CV/ML Engineer

CV/ML Engineer

Senior CV/ML Engineer

Staff CV/ML Engineer

Senior Staff CV/ML Engineer

What You’ll Do

  • Develop and optimize computer vision algorithms for real-time drone detection, tracking, and classification on our autonomous gun turret.

  • Design and implement machine learning models capable of operating in resource-constrained environments while maintaining high accuracy and reliability.

  • Collaborate with electrical engineers to integrate computer vision systems into the turret’s hardware architecture; contribute to hardening the prototype into a military-grade system and developing variants for different weapon systems and engagement ranges.

  • Conduct extensive testing and validation of CV algorithms across diverse scenarios to ensure robustness and performance under varying environmental conditions.

What You’ll Need

  • 4+ years of experience in machine-learning-based computer vision, ideally in the context of robotics or autonomous systems; Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field with a strong focus on ML and computer vision.

  • Proven track record developing and deploying computer vision systems, ideally in real-time or safety-critical applications; deep passion for ML, computer vision, and robotics with roots that go back to early in your career.

  • Proficiency in Python and C++; hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar.

  • Experience with embedded systems and integrating CV algorithms into hardware; familiarity with sensors such as cameras, LiDAR, and radar and their integration into autonomous systems.

You’ll Stand Out

  • Experience with object detection and tracking in challenging real-world conditions such as small targets, cluttered backgrounds, or low-contrast imagery.

  • Background in defense, aerospace, or autonomous systems where performance and reliability requirements are non-negotiable.

  • Experience deploying and optimizing models on edge hardware such as NVIDIA Jetson or similar embedded GPU platforms.

  • Experience with multi-sensor fusion or integrating data from heterogeneous sensor modalities such as optical and infrared cameras.

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. #LI-AS1

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account