Verified Job
Engineering - Architecture
System Architect-Physical AI
Engineering - Architecture
#730293
Remote / WFH
CraftifAI
Job Description
Location: Bengaluru, India (Hybrid)
Experience: 5–10 Years
Education: Master's or PhD in Computer Science, Electrical Engineering, Robotics, AI/ML, or a related field preferred.
About CraftifAI
CraftifAI is building PipeGen, an AI-native platform that automates the development, optimization, deployment, and validation of Physical AI applications. PipeGen enables engineering teams to build intelligent systems that perceive, reason, and act across heterogeneous edge computing platforms using agentic AI workflows.
We are looking for an experienced Physical AI System Architect to work directly with customers in designing and deploying next-generation Physical AI solutions. This role combines deep technical expertise, systems thinking, customer engagement, and technical leadership to help customers transform complex requirements into production-ready intelligent systems.
What You'll Do
• Partner with customers to understand their Physical AI products and deployment requirements.
• Architect end-to-end Physical AI systems spanning sensors, perception, multimodal AI, decision-making, deployment, and runtime optimization.
• Design scalable AI pipelines covering data collection, model training, optimization, deployment, validation, and lifecycle management.
• Lead technical workshops, architecture reviews, product demonstrations, and solution design sessions with customer engineering teams.
• Drive successful customer deployments using CraftifAI PipeGen.
• Translate customer requirements into clear engineering specifications and collaborate closely with internal product and engineering teams.
• Guide customers on selecting AI models, edge hardware, deployment strategies, and performance optimization across heterogeneous compute platforms.
• Evaluate system-level trade-offs including latency, throughput, power, memory, accuracy, reliability, and deployment cost.
• Influence the evolution of PipeGen by bringing customer insights into product planning.
• Provide technical leadership across multiple customer engagements while mentoring engineering teams.
Required Qualifications
• 5–10 years of experience developing production AI systems for edge devices, robotics, industrial automation, autonomous systems, or intelligent products.
• Master's or PhD preferred in AI, Robotics, Computer Science, Electrical Engineering, or a related discipline.
• Strong systems engineering mindset with the ability to architect complete intelligent systems rather than individual AI models.
• Deep expertise in modern AI, including deep learning, transformers, vision-language models, multimodal AI, and perception systems.
• Strong understanding of the complete AI lifecycle, including:
• Data engineering
• Model development
• Fine-tuning
• Optimization and quantization
• Edge deployment
• Validation
• Continuous monitoring and improvement
• Hands-on experience with MLOps, model versioning, CI/CD for AI, and production deployment pipelines.
• Experience deploying AI workloads on heterogeneous edge hardware such as NVIDIA Jetson, Qualcomm, AMD/Xilinx, Intel, NXP, TI, or similar platforms.
• Excellent communication and presentation skills with experience working directly with enterprise customers.
• Demonstrated technical leadership and the ability to drive cross-functional execution.
Preferred Qualifications
• Experience with computer vision, sensor fusion, robotics, autonomous systems, or embodied AI.
• Experience with frameworks such as GStreamer, ROS2, TensorRT, ONNX Runtime, OpenVINO, TVM, or similar deployment technologies.
• Familiarity with AI agents, multimodal reasoning, and agentic workflows.
• Experience deploying production AI applications in manufacturing, robotics, automotive, industrial automation, healthcare, logistics, retail, or smart infrastructure.
Why Join CraftifAI?
At CraftifAI, you'll help define the next generation of Physical AI development. You'll work alongside leading semiconductor companies, OEMs, robotics innovators, and enterprise customers to build intelligent systems that interact with the real world. If you're passionate about solving complex engineering challenges and shaping the future of autonomous products, we'd love to hear from you.
Experience: 5–10 Years
Education: Master's or PhD in Computer Science, Electrical Engineering, Robotics, AI/ML, or a related field preferred.
About CraftifAI
CraftifAI is building PipeGen, an AI-native platform that automates the development, optimization, deployment, and validation of Physical AI applications. PipeGen enables engineering teams to build intelligent systems that perceive, reason, and act across heterogeneous edge computing platforms using agentic AI workflows.
We are looking for an experienced Physical AI System Architect to work directly with customers in designing and deploying next-generation Physical AI solutions. This role combines deep technical expertise, systems thinking, customer engagement, and technical leadership to help customers transform complex requirements into production-ready intelligent systems.
What You'll Do
• Partner with customers to understand their Physical AI products and deployment requirements.
• Architect end-to-end Physical AI systems spanning sensors, perception, multimodal AI, decision-making, deployment, and runtime optimization.
• Design scalable AI pipelines covering data collection, model training, optimization, deployment, validation, and lifecycle management.
• Lead technical workshops, architecture reviews, product demonstrations, and solution design sessions with customer engineering teams.
• Drive successful customer deployments using CraftifAI PipeGen.
• Translate customer requirements into clear engineering specifications and collaborate closely with internal product and engineering teams.
• Guide customers on selecting AI models, edge hardware, deployment strategies, and performance optimization across heterogeneous compute platforms.
• Evaluate system-level trade-offs including latency, throughput, power, memory, accuracy, reliability, and deployment cost.
• Influence the evolution of PipeGen by bringing customer insights into product planning.
• Provide technical leadership across multiple customer engagements while mentoring engineering teams.
Required Qualifications
• 5–10 years of experience developing production AI systems for edge devices, robotics, industrial automation, autonomous systems, or intelligent products.
• Master's or PhD preferred in AI, Robotics, Computer Science, Electrical Engineering, or a related discipline.
• Strong systems engineering mindset with the ability to architect complete intelligent systems rather than individual AI models.
• Deep expertise in modern AI, including deep learning, transformers, vision-language models, multimodal AI, and perception systems.
• Strong understanding of the complete AI lifecycle, including:
• Data engineering
• Model development
• Fine-tuning
• Optimization and quantization
• Edge deployment
• Validation
• Continuous monitoring and improvement
• Hands-on experience with MLOps, model versioning, CI/CD for AI, and production deployment pipelines.
• Experience deploying AI workloads on heterogeneous edge hardware such as NVIDIA Jetson, Qualcomm, AMD/Xilinx, Intel, NXP, TI, or similar platforms.
• Excellent communication and presentation skills with experience working directly with enterprise customers.
• Demonstrated technical leadership and the ability to drive cross-functional execution.
Preferred Qualifications
• Experience with computer vision, sensor fusion, robotics, autonomous systems, or embodied AI.
• Experience with frameworks such as GStreamer, ROS2, TensorRT, ONNX Runtime, OpenVINO, TVM, or similar deployment technologies.
• Familiarity with AI agents, multimodal reasoning, and agentic workflows.
• Experience deploying production AI applications in manufacturing, robotics, automotive, industrial automation, healthcare, logistics, retail, or smart infrastructure.
Why Join CraftifAI?
At CraftifAI, you'll help define the next generation of Physical AI development. You'll work alongside leading semiconductor companies, OEMs, robotics innovators, and enterprise customers to build intelligent systems that interact with the real world. If you're passionate about solving complex engineering challenges and shaping the future of autonomous products, we'd love to hear from you.
