Quilter
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About
Quilter is an autonomous PCB design engine that leverages reinforcement learning and physics-first principles to automate the complex task of electronic hardware design. Rather than functioning as a simple co-pilot or an LLM-based assistant, Quilter operates as a physics-driven agent that understands the fundamental laws governing electronics. By training its AI on Maxwell’s equations, thermodynamics, and real-world manufacturing constraints instead of just mimicking human layouts, the platform generates designs that are "correct by construction." This approach eliminates the common pitfall of repeating human errors and allows for the discovery of non-intuitive routing solutions that a human designer might overlook. The tool integrates seamlessly into established engineering workflows, supporting direct uploads from industry-standard EDA software including Altium, Cadence, Siemens, and KiCAD. Once a schematic and set of constraints are provided, the AI generates multiple design candidates simultaneously, often within a single hour. Throughout the process, the system performs continuous verification, automatically managing advanced requirements like DDR length matching, impedance control, and clearance checks. Because the tool outputs results in native CAD formats, engineering teams can maintain their existing review processes and avoid vendor lock-in, ensuring that every design remains fully editable in their primary toolset. Quilter is specifically tailored for electrical engineers, PCB designers, and R&D managers who need to accelerate board bring-up across various industries such as aerospace, semiconductors, robotics, and consumer electronics. It is particularly effective for high-stakes projects like IC evaluation boards, test fixtures, and complex backplanes where layout bottlenecks traditionally delay entire programs. By automating the more tedious aspects of trace routing—which the founders liken to manual machine coding in the early days of software—Quilter allows high-value human talent to focus on architectural innovation and complex system breakthroughs. What sets Quilter apart is its "Hardware-Rich Development" philosophy, which aims to make hardware iteration as fast and abundant as software builds. Its pricing model reflects this shift, moving away from restrictive per-seat licensing to a usage-based structure. Teams can collaborate without limits, running as many iterations as necessary and only paying for the finalized designs they choose to download. This scalability, combined with a secure-by-design architecture featuring AES-256 encryption and private cloud options, makes it a robust solution for enterprise-grade hardware development.
Pros & Cons
Reduces PCB layout time from several weeks to just a few hours
Integrates directly with major EDA tools like Altium and Cadence
AI is trained on objective physics rather than subjective human examples
Supports unlimited iterations with a pay-per-design cost structure
Ensures fabrication readiness through built-in manufacturing constraint checks
Free tier is restricted to hobbyists and very small companies
Requires uploading design files to the cloud or private server for processing
Joining the startup program requires an eligibility application
Use Cases
Electrical engineers can upload schematics and receive multiple fab-ready layout candidates in under four hours to speed up prototyping.
Aerospace and defense teams can use physics-driven layouts to meet mission-critical MIL-STD requirements while cutting weeks off schedules.
Semiconductor companies can eliminate layout bottlenecks for validation and test hardware to hit tape-out deadlines consistently.
R&D managers can scale design capacity across large global teams without increasing seat license costs via the usage-based model.
Consumer electronics teams can hit market windows faster by delivering rapid, reliable PCB layouts in a single workday.
Platform
Task
Features
• usage-based pricing model
• aes-256 data encryption
• impedance control validation
• ddr length matching
• reinforcement learning agent
• native cad export
• multi-candidate generation
• physics-driven pcb layout
FAQs
Which CAD tools does Quilter support?
Quilter works with major industry standards including Altium, Cadence, Siemens, and KiCAD. Users can upload projects directly and receive layouts back in their native CAD format for full editability.
How does Quilter use AI differently from other tools?
Instead of training on human layouts which might repeat mistakes, Quilter uses reinforcement learning trained on first-principles physics. This includes Maxwell’s equations and manufacturing constraints to ensure functionality.
Is my proprietary data used to train the AI?
No, Quilter's AI is trained strictly on physics and natural law, not on user designs. Every job is isolated and AES-256 encrypted, ensuring your IP remains secure and private.
How is the service priced for larger teams?
Pricing is usage-based, scaling by the complexity and number of downloaded designs rather than user seats. This allows entire organizations to iterate without restrictive seat license bottlenecks.
Can Quilter handle high-speed design constraints?
Yes, the system performs continuous verification during generation. It manages complex requirements such as DDR length matching, impedance control, and clearances automatically during the layout process.
Pricing Plans
Quilter for Startups
Unknown Price• Unlimited commercial access
• Accelerated board bring-up
• Early-stage team support
• Access to physics-driven layouts
• Iteration-focused design
Enterprise
Unknown Price• Pay per design complexity
• Unlimited teammates
• Unlimited iterations
• Predictable monthly cap
• Transparent usage dashboard
• No vendor lock-in
• AES-256 encryption
• Private cloud/On-prem options
Quilter for Free
Free Plan• Available for hobbyists
• Available for students
• Less than 10 employees
• Under $50,000 in revenue
• Access to physics-driven AI
• Autonomous PCB design
Job Opportunities
Senior/Staff ML Engineer
Automate PCB layout design using physics-driven AI to transform weeks of manual routing into hours of autonomous computation for faster hardware iteration.
Benefits:
Interesting and challenging work
Competitive salary and equity benefits
Health, dental, and vision insurance
Regular team events and offsites
Unlimited paid time off
Experience Requirements:
Production-grade Python expertise
Full-lifecycle ML ownership (problem definition to production)
Trained large models on large datasets (1M+ samples)
Experience with distributed training across multiple GPUs/nodes
Built and maintained production inference servers and CI/CD for ML
Other Requirements:
Mathematical fluency in optimization, probability, and linear algebra
Experience with ML pipeline orchestration (Kubeflow, MLflow)
Familiarity with hardware acceleration (CUDA, TensorRT)
Background in cluster management and cloud platforms
Strong communication and collaboration skills
Responsibilities:
Design and implement end-to-end ML pipelines
Build and operate high-performance inference servers
Build distributed training infrastructure for geometric datasets
Build and maintain ML CI/CD systems and automated retraining
Optimize for GPU utilization, training throughput, and inference latency
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Senior/Staff Backend Engineer - PCB CAD Integration
Automate PCB layout design using physics-driven AI to transform weeks of manual routing into hours of autonomous computation for faster hardware iteration.
Benefits:
Interesting and challenging work
Competitive salary and equity benefits
Health, dental, and vision insurance
Regular team events and offsites
Unlimited paid time off
Experience Requirements:
5+ years of experience as a software engineer
Expert-level proficiency in Python
Strong fluency in TypeScript/JavaScript, React
Leading complex integration projects or large data models
Strong system design skills including API design
Other Requirements:
Excellent collaboration and communication skills
Ability to thrive in a fast-moving startup environment
Familiarity with PCB design workflows or EDA/CAD systems (Nice to have)
Experience with cloud infrastructure (AWS, Docker, K8s) (Nice to have)
Responsibilities:
Lead design and development of integrations with CAD vendors
Define and extend internal PCB representation
Build robust APIs and backend services
Collaborate with ML, EDA, and electrical engineering experts
Mentor junior engineers and shape team culture
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Senior/Staff Software Engineer (C++)
Automate PCB layout design using physics-driven AI to transform weeks of manual routing into hours of autonomous computation for faster hardware iteration.
Benefits:
Interesting and challenging work
Competitive salary and equity benefits
Health, dental, and vision insurance
Regular team events and offsites
Unlimited paid time off
Education Requirements:
Strong academic background in computational geometry, optimization, or related field
Experience Requirements:
3-10+ years of experience maintaining large, high-performance C++ codebases
Proficiency in Python for prototyping
Experience architecting and scaling collaborative C++ codebases
Strong mathematical and algorithmic intuition
Leadership skills in mentoring and guiding engineering direction
Other Requirements:
Expertise in graph algorithms, HPC, or physics simulations
Passion for pushing boundaries in automated circuit design
Experience with GPU programming or CUDA (Nice to have)
Responsibilities:
Architect and implement high-performance C++ libraries and algorithms
Design scalable data structures for complex PCB challenges
Work with domain experts across disciplines
Provide mentorship and technical reviews
Help build the foundation for superhuman PCB design
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