Senior /Staff Field Applications Engineer
Senior/Staff Filed Application Engineer
Saudi, Riyadh
About Blaize
Blaize (Nasdaq: BZAI) builds a programmable AI platform for inference in real-world environments. At its core, the Blaize Graph Streaming Processor (GSP) is a purpose-built, energy-efficient architecture for real-world AI inference, combined with GPU in a hybrid AI infrastructure that runs across the edge, cloud, and datacenter. Our platform powers computer vision, multimodal AI, and sensor-driven applications across smart cities, industrial automation, telecommunications, retail, logistics, healthcare, automotive, and defense.
Blaize is expanding from edge AI hardware into a full platform that combines its hardware systems with Blaize AI Services, the software and services layer that delivers deployable AI solutions for enterprises, governments, and cloud service providers worldwide. By combining differentiated computing architecture with scalable AI Services, we help organizations deploy intelligence where decisions matter most.
To learn more, visit or follow us on LinkedIn at @blaizeinc.
Position Overview
As a field Applications Engineer (FAE) for Saudi, you will represent Blaize's advanced AI technologies and serve as the company's technical face for customers in Saudi Arabia, in the industries including, but not limited to, smart cities, mobility, retail, and manufacturing.
You will support customers in designing, evaluating, and deploying Blaize AI hardware and software solutions—from edge inference boards such as Blaize M.2, X1600P PCie cards to server-class deployments based on major OEM’s flagship products with multi-chip GSP + GPU platforms. You will also influence local go-to-market strategy and support business growth in a rapidly evolving ecosystem.
Key Responsibilities:
- Serve as the primary technical interface for Blaize customers and partners across Saudi.
- Support pre-sales architecture and post-sales solution integration, including edge AI inference and server-scale AI pipelines
- Lead customer workshops, proof-of-concept projects, and solution validation across hardware and software.
- Provide technical expertise on AI Studio, SDKs, and AI model optimization/deployment workflows.
- Collaborate with product and engineering teams to align customer needs with the roadmap
- Act as a local field scout, gathering insights on competitive trends, deployment patterns, and customer pain points
- Coordinate with channel partners, distributors, and internal teams to scale support and success.
Typical Activities:
- Pre-Sales Tech Expert – Work with marketing and business development on new-product introductions and new-technology evangelism
- Post-Sales Tech Expert – Work with sales (direct and channel) to expand opportunities in existing customers, identify new customers, and defend design wins against competitive pressure
- Technology Scout – Collect technical feedback on our products and communicate to the product planning group for integration into future product offerings
- Competition Scout – collect competitive product information through informal contacts with peers and from customers, providing this to the Blaize management team
What You Should Bring:
- 8-10 years in embedded systems, computer vision, or AI platforms (edge or server)
- Deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, ONNX, OpenVINO)
- Experience with edge devices (Jetson, UP boards, ARM SoCs) and/or server inference
- Proficient in C/C++, Python, Bash, with exposure to embedded Linux
- Familiarity with M.2/PCIe integration, GPU/NPU accelerators, and heterogeneous compute
- Cloud/edge pipeline design a plus (e.g., containerized inferencing, live streaming)
- AI, Machine Learning, Deep Learning, Smart Vision, GPU Development and/or Software Development is a plus
Language & Communication
- Native or business-fluent Arabic
- Professional proficiency in English
- Strong written/verbal skills and ability to deliver technical demos to diverse stakeholders
Preferred Qualifications
- Degree in Electrical Engineering, Computer Science, or related field
- Experience in smart vision, autonomous systems, or robotics
- Knowledge of Saudi’s industrial/automotive/IoT ecosystem
- Familiarity with cloud platforms (AWS, Azure) and DevOps tools (Docker, Kubernetes)
Blaize is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity, and gender expression of our applicants and employees, and we honour requests for preferred pronouns. It is our policy to comply with all applicable national, state, and local laws pertaining to non-discrimination and equal opportunity.