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About the Role

We are seeking a Chief Engineer, Computer Vision/Machine Learning to lead the technical direction and architecture for the CV/ML systems critical to our autonomous gun turret. This senior technical leadership role involves setting technical strategy for real-time drone detection, tracking, and classification, and overseeing its implementation from architecture to fielded systems. Your focus will be on architecture, design review, and solving complex technical challenges, with a small team reporting to you.

Responsibilities

Own the technical roadmap and architecture for the CV/ML stack, setting direction for execution by Engineering Managers and their teams.
Make and document key technical decisions regarding sensor and compute architecture, model strategy, real-time performance tradeoffs, and the evolution of the perception system across variants and engagement ranges.
Personally drive the most challenging and ambiguous technical problems on the program, from concept through field validation.
Lead a small group of senior CV/ML engineers and mentor senior and staff engineers and managers through design review and technical guidance.
Partner with the VP of AI and Engineering Managers to align technical strategy with product goals, delivery commitments, and hiring plans.
Set and uphold the technical quality bar across the CV/ML organization through architecture review, design review, and validation standards.

Requirements

Deep expertise and 15+ years of experience in machine-learning-based computer vision and traditional image and signal processing, ideally in robotics, including systems deployed in real-time or safety-critical applications.
A track record of owning the architecture of a complex perception or autonomy system across multiple years and releases, from initial design through production hardening.
Demonstrated ability to set technical direction that other teams execute against, and to drive alignment through expertise and influence as well as authority.
Experience mentoring and leading senior team members, whether as a formal manager or as a principal-level technical leader.
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.
Strong command of Python and C++ and modern ML frameworks such as PyTorch or TensorFlow, with the depth to review and guide work across the stack even where you are not writing the code yourself.
Comfort operating in a fast-moving, engineering-first environment where architecture decisions carry hard real-world consequences.

Skills

Machine learning
Computer vision
Image processing
Signal processing
Robotics
Real-time systems
Safety-critical systems
Architecture design
Perception systems
Autonomy systems
Python
C++
PyTorch
TensorFlow
Object detection
Object tracking
Multi-sensor fusion
Edge computing

Location

Remote

Work Type

Full-time

Experience Level

15+ years of experience
Senior technical leadership

Education Level

Bachelor's degree in Computer Science, Electrical Engineering, or a related field

Salary/Compensations

Competitive salary

Benefits

ACS Equity Package
Health, Dental, Vision Insurance
Paid Time Off

About the Company

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.

Equal Opportunity

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.