Software Engineering Manager, Fulfil Solutions

• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or equivalent practical experience
• 6+ years of professional C++ development in a Linux environment, with a focus on production systems
• Demonstrated experience owning technical roadmaps (12+ months out) and leading distributed engineering teams
• Expert command of classical computer vision, 3D geometry, and multi-view geometry fundamentals
• Deep hands-on experience with edge computing constraints: memory management, real-time latency, and device-driver stability
• Strong written and verbal communication skills — able to make complex technical tradeoffs legible to both engineers and non-technical stakeholders

Desirable

• Fulfil is looking for a Software Engineering Manager to own the vision and execution of our Computer Vision and Machine Learning team. In this role, you won't just be building models — you'll be architecting the perceptual intelligence that gives our custom robots the ability to see and act in the real world
• This is a hands-on leadership position that spans the full technical stack: from classical geometry and sensor-level hardware to modern deep learning and cloud-based data pipelines
• You'll lead a team of CV and ML engineers, set the architectural direction for real-time perception systems, and partner closely with hardware and automation software teams to deliver production-grade systems that perform reliably in complex, dynamic environments
• Technical Strategy & Architecture Own the end-to-end CV stack. Define a multi-quarter roadmap and architect perception systems that scale from prototype to high-volume production deployment
• Full-Stack Perception Engineering Drive system design across all layers — from physical sensor protocols (CAN, I2C) and kernel-level drivers through RPC interfaces and cloud-based training data loops
• Algorithm Development Lead development of algorithms for object detection, 3D reconstruction, pose estimation, and error recovery. Ensure robustness and reliability in non-deterministic physical environments where failure has real consequences
• Team Leadership & Mentorship Set architectural standards, conduct rigorous code reviews, and actively develop the engineers on your team across US and international offices. Build a culture of ownership, technical rigor, and continuous learning
• Cross-Functional Partnership Collaborate directly with Mechanical and Automation Software teams to specify camera optics, lighting conditions, and compute platform requirements (NVIDIA Jetson, Intel edge hardware). Translate R&D progress into concrete milestones for leadership