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- Tasks: Support customers with AI-driven solutions and troubleshoot high-end processing technologies.
- Company: Join Arrow Global Components, a leader in electronic component distribution and value-added services.
- Benefits: Enjoy a competitive salary, remote work options, and opportunities for personal development.
- Why this job: Be part of a collaborative team that values open communication and innovation in technology.
- Qualifications: Experience with SoMs, AI frameworks, and programming languages like Python and C/C++ is essential.
- Other info: This role offers a chance to engage with cutting-edge technology and diverse stakeholders.
The predicted salary is between 43200 - 72000 £ per year.
As Arrow Global Components (AGC), a part of Arrow Electronics, we are a leader in distribution and value-added services related to electronic components. We resell, customize, and distribute electronic components to our clients worldwide. Our business is built on trusted, long-lasting relationships with industry leaders, both on the supplier and customer side.
Arrow's Global Components is seeking a Technology Field Application Engineer AI. In this role, you will specialize in AI, high-end processing, and system-on-modules (SoM), serving as a technical liaison between customer engineering teams and suppliers. Your focus will be on providing expert support, technical guidance, and solutions for integrating advanced processing technologies into customer applications.
Key Responsibilities:- Provide technical pre-sales support: assist customers in selecting and designing AI-driven and high-performance computing solutions based on SoMs and chips.
- Engage with customers to understand their technical requirements and help optimize AI algorithms, hardware acceleration, and embedded systems.
- Support product integration and troubleshooting for SoM-based AI and high-end processing solutions, ensuring compatibility.
- Conduct technical workshops, create documentation, and provide hands-on training on AI frameworks, edge computing, and SoM platforms.
- Develop proof-of-concept demos and reference designs showcasing AI and processing capabilities.
- Experience with System-on-Modules, SoCs, edge AI processors (e.g., NVIDIA Jetson, Qualcomm, NXP, Altera).
- Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch), embedded systems, and high-performance computing architectures.
- Proficiency in programming languages such as Python, C/C++.
- Excellent problem-solving and communication skills to engage with both technical and non-technical stakeholders.
- Competitive salary with base and variable components.
- Reliable and trusting work environment.
- Collaborative team with flat structures and open communication.
- Opportunities for professional and personal development.
Arrow is an equal opportunity employer committed to creating an inclusive and diverse workplace by providing equal employment opportunities for all qualified individuals.
If you see yourself as our future colleague, please send us your application.
Technology Field Application Engineer AI employer: Arrow Electronics
Contact Detail:
Arrow Electronics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technology Field Application Engineer AI
✨Tip Number 1
Familiarise yourself with the latest AI technologies and System-on-Modules (SoMs) relevant to the role. Being well-versed in products like NVIDIA Jetson or Qualcomm will help you engage confidently with potential employers.
✨Tip Number 2
Network with professionals in the field of AI and embedded systems. Attend industry events, webinars, or local meetups to connect with others who can provide insights or even referrals for the position.
✨Tip Number 3
Prepare to discuss your experience with AI/ML frameworks like TensorFlow or PyTorch during interviews. Be ready to share specific examples of how you've applied these technologies in past projects.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical questions that may arise in interviews. Think of scenarios where you've successfully integrated complex systems or resolved technical challenges.
We think you need these skills to ace Technology Field Application Engineer AI
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Technology Field Application Engineer AI position. Tailor your application to highlight relevant experience with AI, SoMs, and high-performance computing.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with System-on-Modules, edge AI processors, and AI/ML frameworks. Use specific examples to demonstrate your problem-solving skills and technical expertise.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Mention how your skills align with Arrow's mission and how you can contribute to their success.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Arrow Electronics
✨Know Your Tech Inside Out
Make sure you have a solid understanding of System-on-Modules, AI frameworks like TensorFlow and PyTorch, and the specific processors mentioned in the job description. Be prepared to discuss how you've used these technologies in past projects.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled technical challenges in previous roles. Highlight your problem-solving process and how you communicated solutions to both technical and non-technical stakeholders.
✨Engage with Real-World Scenarios
Think about potential customer scenarios where you could apply your expertise. Be ready to discuss how you would approach integrating AI-driven solutions into their applications, demonstrating your ability to understand and meet client needs.
✨Prepare for Technical Workshops
Since conducting workshops is part of the role, consider how you would structure a training session on AI frameworks or SoM platforms. Be ready to explain complex concepts in a simple way, showcasing your communication skills.
