Allen Control Systems Logo

Allen Control Systems

CV/ML Engineering Manager

Reposted 6 Days Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
180K-300K Annually
Expert/Leader
In-Office
Mountain View, CA, USA
180K-300K Annually
Expert/Leader
Manage and grow a CV/ML team while contributing hands-on to real-time computer vision algorithms for drone detection, tracking, and classification. Define and execute the CV/ML roadmap with senior leadership, own delivery commitments, coordinate hardware integration, and enforce rigorous testing and validation for field and safety-critical deployment.
The summary above was generated by AI

Computer Vision & Machine Learning Engineering Manager 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 an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.

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.

About The Role

We are looking for a Computer Vision/Machine Learning Engineering Manager to join the Computer Vision and Machine Learning team behind our autonomous gun turret, with a focus on real-time drone detection, tracking, and classification. This begins as a player-coach role: you will contribute directly to the CV/ML stack while managing and growing the team, with your hands-on share shifting toward management and technical review as the team scales. You will partner with our Chief Engineers and VP of AI to define the CV/ML technical roadmap and own its execution, translating product goals into team plans and delivery commitments as we harden the prototype into a military-grade system.

What You’ll Do

  • Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills.

  • Partner with Chief Engineers and VP of AI to define the CV/ML technical roadmap, and own its execution within your team.

  • Translate product and company goals, such as new weapon system variants, engagement ranges, hardening milestones, into quarterly team plans, priorities, and staffing decisions.

  • Contribute directly to development and optimization of computer vision algorithms for real-time drone detection, tracking, and classification.

  • Own delivery commitments for the CV/ML stack, coordinating integration milestones with electrical engineering and hardware teams.

  • Drive engineering quality through design and code review, and rigorous testing and validation practices across environmental conditions and scenarios.

What You’ll Need

  • Deep expertise and 10+ years of experience working on machine-learning-based computer vision and traditional image and signal processing, ideally in the context of robotics, including a proven track record of deploying CV systems in real-time or safety-critical applications.

  • At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.

  • Experience managing or tech-leading a team of CV/ML engineers, and a desire to grow into a larger management scope.

  • Evidence of successfully owning a technical roadmap or planning process for a perception, autonomy, or similar product area.

  • Proficiency in Python and C++, and experience with machine learning frameworks such as TensorFlow, PyTorch, or similar; experience with embedded systems and sensor integration (cameras, LIDAR, RADAR) strongly preferred.

  • Comfort driving execution while collaborating on technical direction with senior technical leadership, in a fast-moving, engineering-first environment.

You’ll Stand Out

  • Formal management experience, including having hired and scaled a CV/ML or perception team at a startup or in a 0-to-1 product environment.

  • Ph.D. in computer vision, machine learning, or related fields.

  • 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, or with multi-sensor fusion across modalities such as optical and infrared cameras.

  • Experience leading teams through field testing and hardware integration cycles, not just software-only development.

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

Similar Jobs at Allen Control Systems

5 Hours Ago
In-Office
Expert/Leader
Expert/Leader
Defense • Manufacturing
Lead day-to-day manufacturing operations, drive production performance and continuous improvement, scale production from low- to full-rate, develop leaders and manufacturing systems, ensure safety, quality, and compliance, and support facility startup and cross-functional alignment for a new Pflugerville manufacturing campus.
Top Skills: As9100Design For Manufacturing (Dfm)Erp/MrpIso 9001Lean ManufacturingNew Product Introduction (Npi)Overall Equipment Effectiveness (Oee)Six Sigma
3 Days Ago
In-Office
Senior level
Senior level
Defense • Manufacturing
Manage and streamline office operations for a North Austin manufacturing/defense startup. Implement systems, coordinate cross-functional needs (Finance, HR, Facilities, Manufacturing), support onboarding and relocation logistics, manage catering and events, oversee vendor and contractor relationships for office buildouts, and maintain secure workplace practices and accurate office administration.
Top Skills: CmmcItarMicrosoft 365Slack
6 Days Ago
In-Office
Mid level
Mid level
Defense • Manufacturing
Define and manage system-level requirements, verification plans, and tradeoffs for autonomous weapon platforms. Work cross-functionally to ensure integration, traceability, verification closure, and technical risk mitigation across hardware and software.
Top Skills: Computer VisionControl SystemsDoorsJama

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