Lead Software Engineer (Factory Operating System)
Job Description
Job Title - Senior Software Lead – Factory Operating System
Location - San Francisco, CA (Onsite – 5 Days/Week)
Employment Type - Full-time
Interview Mode: Virtual (Final Onsite)
About the Role
We are seeking a founding-level Senior Software Lead to architect and build the backend and data infrastructure for a next-generation factory operating system.
This is a hands-on leadership role where you will design scalable systems that integrate robotic manufacturing, sensor/perception data pipelines, and hybrid cloud/on-prem infrastructure. You will start by leading a small team and play a key role in scaling engineering capabilities while delivering production-grade systems.
Key Responsibilities
• Design and develop backend services for planning, scheduling, telemetry, and data capture across manufacturing systems
• Build and optimize large-scale visual/perception data pipelines (video, sensor, LiDAR, etc.)
• Architect hybrid infrastructure combining on-prem/embedded systems with cloud environments
• Define and manage data flow between factory systems and cloud platforms
• Lead and mentor engineers, scaling a team from early-stage growth
• Collaborate with robotics, manufacturing, and leadership teams to define and execute product roadmap
• Deliver production-ready systems supporting real-world manufacturing operations
Mandatory Skills & Qualifications
• 10+ years of experience in software engineering (backend/distributed systems)
• Strong expertise in Python and C++ (production-level development)
• Experience building large-scale visual/perception pipelines (video, camera, LiDAR, sensor data)
• Deep understanding of distributed systems and high-throughput data architectures (TB–PB scale)
• Experience with cloud platforms (AWS or GCP) and hybrid infrastructure environments
• Hands-on experience with Infrastructure as Code (Terraform), containers, and Kubernetes
• Proven leadership experience (Tech Lead / Engineering Lead / Project Ownership)
• Experience building systems from scratch (0→1 development or major platform ownership)
Preferred Skills
• Background in robotics, autonomous vehicles, manufacturing systems, or computer vision
• Experience with ML infrastructure and perception systems
• Exposure to real-time data streaming and large-scale analytics systems
What Makes You a Fit
• Strong ownership mindset with ability to deliver production-grade systems
• Comfortable working in fast-paced, early-stage environments
• Passion for building scalable systems with real-world impact (not just prototypes)
• Ability to collaborate across engineering, robotics, and business teams
Work Requirements
• Must be able to work onsite in San Francisco 5 days/week
• Must be open to relocation (if not local)
• Comfortable working in high-impact environments including defense/logistics applications
Why Join Us
• Opportunity to build a factory operating system from the ground up
• High ownership role with direct impact on next-gen manufacturing systems
• Work alongside top-tier robotics and manufacturing experts
• Early-stage environment with strong equity upside and career growth
• Small, highly technical team with strong innovation culture
About NetworkPedia
NetworkPedia is a certified women-owned technology and talent solutions company, providing IT infrastructure, cybersecurity, managed services, and specialized recruitment across North Americas and beyond. Our mission is to empower organizations with secure, scalable, and innovative technology while building inclusive teams that reflect the communities we serve.
As a trusted partner, we deliver expertise across networking, cloud, IT service management, and security operations, along with staffing solutions for niche technology roles. We are committed to diversity, equity, and inclusion (DEI) in all our hiring practices and ensure that our opportunities are open to all qualified applicants, without discrimination on the basis of age, gender, race, ethnicity, religion, sexual orientation, or disability.
How to Apply
Apply directly via LinkedIn Easy Apply. All applications are routed to our central recruitment email id - recruitment@networkpedia.com