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Drone Embedded Software Jobs in Wisconsin (NOW HIRING)

WI · On-site

$170 - $230/hr

Computer Vision & Machine Learning Engineering Manager for Autonomous Anti-Drone Systems Company ... software. We are developing an autonomous gun turret using advanced computer vision and control ...

WI · On-site

$140 - $180/hr

Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company ... software. We are developing an autonomous gun turret using advanced computer vision and control ...

Drone Embedded Software information

What is a drone embedded software engineer?

Drone embedded software engineers are professionals who design, develop, and maintain the software that runs directly on the hardware of drones. This software controls essential functions such as flight control, navigation, communication, and sensor integration. Embedded software is optimized for real-time performance and reliability, often written in languages like C or C++. These engineers work closely with hardware teams to ensure seamless integration and efficient operation of drones in various applications, from aerial photography to industrial inspections.

How does a drone embedded software engineer typically collaborate with hardware and flight operations teams?

Drone Embedded Software engineers work closely with hardware engineers to ensure seamless integration between software and drone components, such as sensors and flight controllers. Regular communication with flight operations teams is essential to gather feedback on drone performance and troubleshoot any issues discovered during test flights. This collaborative environment helps accelerate development, improve reliability, and ensures that software updates align well with evolving hardware and operational requirements.

What are the key skills and qualifications needed to thrive as a drone embedded software engineer, and why are they important?

To thrive as a Drone Embedded Software Engineer, you need a strong background in computer science or electrical engineering, proficiency in C/C++, and experience with real-time operating systems (RTOS) and embedded systems. Familiarity with tools such as Git, JTAG debuggers, and communication protocols (SPI, I2C, UART), as well as knowledge of drone-specific hardware platforms, is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help you excel in this role. These skills ensure reliable, efficient, and safe drone operation, which is critical for both performance and regulatory compliance.

What is the difference between Drone Embedded Software vs Drone Firmware Developer?

AspectDrone Embedded SoftwareDrone Firmware Developer
CredentialsKnowledge of embedded systems, programming languages (C/C++), electronicsSimilar credentials, often with embedded systems experience
Work EnvironmentDesigning and testing software for drone hardwareDeveloping low-level firmware for drone controllers
Industry UsageUsed across drone manufacturing and R&DPrimarily in hardware-focused drone companies
Search/Comparison IntentUnderstanding roles in drone software developmentFocusing on firmware-specific tasks in drones

Drone Embedded Software and Drone Firmware Developer roles overlap significantly, both requiring embedded systems knowledge and working within the drone industry. The main difference lies in scope: embedded software covers a broader range of software applications within drones, while firmware developers focus specifically on low-level hardware control. Both roles are essential for drone development and often share similar qualifications.

What are popular job titles related to Drone Embedded Software jobs in Wisconsin?

For Drone Embedded Software jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Drone Embedded Software jobs?

Cities in Wisconsin with the most Drone Embedded Software job openings:

$170 - $230/hr

Other

Medical, Dental, Vision, PTO

Posted 9 days ago


Job description

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

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