Senior Embedded Processor Architect

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together.

We’re looking for a Senior Embedded Processor Architect to join our team at Snap Inc!  

What you’ll do:

You will lead the architecture and design of advanced AI processor cores that enable real-time Edge AI and sensor fusion for next-generation AR Glasses. Working from our Eindhoven office, you will collaborate with leading experts in hardware design, machine learning, and image sensors to create compute architectures that blend AI training efficiency, sensor-driven perception, and ultra-low-power performance. In addition, you will: 

• Architect and define processor cores and compute fabrics optimized for real-time Edge AI and sensor processing workloads.

• Co-design neural training and inference frameworks with ML researchers to maximize hardware utilization, efficiency, and adaptability.

• Drive hardware-aware training strategies, enabling dynamic and resource-efficient AI models tailored for embedded platforms.

• Develop architectural models, simulators, and performance analysis tools to evaluate design trade-offs across latency, power, and area.

• Collaborate with sensor, vision, and ML teams to build unified processing pipelines that combine neural inference and sensor fusion.

• Explore architectural optimizations for imaging workloads, including super-resolution, temporal fusion, and neural signal processing.

• Evaluate emerging sensor technologies—such as event-based imaging and single-photon avalanche diode (SPAD)—to identify opportunities for compute innovation.

• Mentor junior architects and contribute to Snap’s long-term Edge AI hardware roadmap.

Knowledge, Skills & Abilities:

• Deep expertise in computer architecture and processor core design, including pipeline and memory system architecture.

• Strong understanding of machine learning training and optimization, with experience in hardware-aware model design (quantization, pruning, distillation).

• Proven ability to co-design neural networks and hardware for low-power, real-time performance.

• Familiarity with imaging and sensor processing pipelines, including (nice to have) exposure to event-based or SPAD-based systems.

• Experience with performance modeling, simulation, and hardware/software co-design frameworks.

• Strong analytical and problem-solving skills with the ability to collaborate across hardware, software, and ML research teams.

Minimum Qualifications:

• MsC or PhD in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.

• 8+ years of experience in processor architecture, AI accelerators, or embedded compute systems (PhD research counts toward experience).

• Demonstrated track record of designing or specifying AI-centric processor architectures or specialized compute units.

• Proficiency in AI frameworks (PyTorch, TensorFlow) and understanding of their computational