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For Companies At a Glance
- Tasks: Support customers with AI solutions and integrate advanced technologies into their applications.
- Company: Join Arrow Global Components, a leader in electronic component distribution and value-added services.
- Benefits: Enjoy a competitive salary, remote work, and opportunities for personal and professional growth.
- Why this job: Be part of a collaborative team that values open communication and innovation in AI 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 work remotely in a diverse and inclusive environment.
The predicted salary is between 36000 - 60000 £ per year.
Position:
Technology Field Application Engineer AI
Job Description:
As Arrow Global Components (AGC), 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 worldwide. Our business is built on trusted, long-lasting relationships with industry leaders, both on the supplier and customer sides.
Find more information about us on our page: www.arrow.com/en/components
Watch the Arrow Corporate Video on YouTube.
Technology Field Application Engineer AI
Arrow\’s Global Components is seeking a Technology Field Application Engineer AI. This role specializes in AI, high-end processing, and system-on-modules (SoM). The engineer acts as a technical liaison between customer engineering teams and suppliers, providing expert support, technical guidance, and solutions for integrating advanced processing technologies into customer applications.
Key Responsibilities:
- Technical Pre-Sales Support: Assist customers in selecting and designing AI-driven and high-performance computing solutions based on SoMs and chips.
- Customer Engagement: Collaborate closely with customers to understand their technical needs and optimize AI algorithms, hardware acceleration, and embedded systems.
- Product Integration & Troubleshooting: Support integration of SoM-based AI solutions, ensuring hardware and software compatibility.
- Training & Documentation: Conduct workshops, create documentation, and provide hands-on training on AI frameworks, edge computing, and SoM platforms.
- Demonstration & Prototyping: Develop proof-of-concept demos and reference designs showcasing AI and processing capabilities.
Qualifications:
- 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 and C/C++.
- Excellent problem-solving and communication skills for engaging with technical and non-technical stakeholders.
Benefits:
- 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 diversity and inclusion. If you see yourself as our future colleague, please send us your application.
#LI-MW2
Location:
UK – Remote
Time Type:
Full-time
Job Category:
Sales
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Technology Field Application Engineer AI employer: Motorsport Network
Contact Detail:
Motorsport Network 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 during interviews.
✨Tip Number 2
Network with professionals in the field of AI and embedded systems. Attend industry events or webinars to connect with potential colleagues and gain insights into the company culture at Arrow Global Components.
✨Tip Number 3
Prepare to discuss real-world applications of AI and high-performance computing. Think of examples where you've successfully integrated technology solutions, as this will demonstrate your practical experience and problem-solving skills.
✨Tip Number 4
Showcase your communication skills by being ready to explain complex technical concepts in simple terms. This is crucial for a role that involves liaising between technical teams and customers, so practice articulating your thoughts clearly.
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 customer engagement.
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 values, and why you want to be part of their team.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role.
How to prepare for a job interview at Motorsport Network
✨Know Your AI Frameworks
Make sure you brush up on your knowledge of AI/ML frameworks like TensorFlow and PyTorch. Be prepared to discuss how you've used these tools in past projects, as this will demonstrate your technical expertise and relevance to the role.
✨Understand System-on-Modules (SoMs)
Familiarise yourself with various System-on-Modules and edge AI processors such as NVIDIA Jetson and Qualcomm. Being able to speak confidently about their features and applications will show that you're well-prepared for the technical aspects of the job.
✨Prepare for Problem-Solving Scenarios
Expect to face some problem-solving scenarios during the interview. Think of examples from your previous experience where you successfully integrated AI solutions or troubleshot issues, and be ready to explain your thought process.
✨Engage with Technical and Non-Technical Stakeholders
Since the role involves liaising between customer engineering teams and suppliers, practice articulating complex technical concepts in a way that's easy for non-technical stakeholders to understand. This skill is crucial for effective communication in the position.
