Computer Vision Engineer - Autonomy

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Who is Recruiting from Scratch: Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. Title of Role: Computer Vision Engineer – Autonomy
Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out. Location: El Segundo, CA Company Stage of Funding: Series B Office Type: Onsite, 5 Days a Week Salary: $200,000 – $300,000 + EquityCompany DescriptionWe are partnering with a rapidly growing, well-funded aerospace startup redefining autonomous systems for national security and commercial applications. This company has raised over $46M and achieved 5x revenue growth since its last funding round. They’ve established themselves as a leader in developing drone platforms that are built entirely in the U.S., featuring competitive pricing that vastly undercuts industry alternatives. With a team of nearly 60 employees and a strong customer base that includes major government clients, this is a rare opportunity to join a mission-driven team at a critical moment of scaling.As a recruiter representing this exciting opportunity, we are seeking top-tier talent to join the autonomy team that is laying the foundation for intelligent, vision-based drone systems.What You Will Do Develop and implement advanced computer vision algorithms for use in real-time autonomous drone platforms. Focus on tasks such as object detection, segmentation, depth estimation, and 3D scene understanding. Tackle challenges around GPS-denied navigation, environmental variability, and constrained compute environments. Translate cutting-edge academic research into robust, production-level systems. Collaborate cross-functionally with robotics, software, and hardware teams to integrate and optimize solutions. Contribute to both near-term deliverables and long-term infrastructure for scalable autonomy. Evaluate and optimize model performance via techniques like model pruning and quantization to meet resource limits. Ideal Candidate Background 3+ years of experience in developing computer vision solutions, preferably for real-time or embedded systems. Demonstrated success turning research into deployed production systems. Proficiency in Python and C++, with strong knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow). Experience with real-world robotics applications such as UAVs, autonomous ground vehicles, or AR/VR systems. Comfortable working in a fast-paced, startup-like environment with evolving priorities and goals. Proven ability to work onsite in a highly collaborative, multidisciplinary team. Preferred Experience with SLAM (Simultaneous Localization and Mapping) or state estimation systems. Familiarity with embedded inference optimizations and edge deployment. Background in deploying vision algorithms under resource-constrained compute environments. Exposure to AR/VR environments with a focus on production implementation. Prior work on autonomy stacks for drones or other mobile platforms. Compensation and Benefits Base Salary: $200,000 to $300,000 annually, depending on experience and fit. Equity: Highly competitive ownership stake in a high-growth startup. Comprehensive health, dental, and vision coverage. Onsite work with a close-knit, high-caliber team in El Segundo, CA. Opportunity to work on high-impact national security technology with real-world deployment. No security clearance required at this time—open to U.S. citizens. Join a team that’s building the autonomy function from the ground up, creating a lasting impact in both defense and civilian applications. If you're a visionary computer vision engineer ready to build systems that operate in the toughest environments, we want to hear from you.Apply today to learn more about this exciting opportunity through our recruiting team.https://www.recruitingfromscratch.com/ #J-18808-Ljbffr
Location:
El Segundo, CA
Salary:
$100
Category:
Engineering

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