Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support customers with AI-driven solutions and integrate advanced processing technologies.
- Company: Join Arrow Global Components, a leader in electronic component distribution and value-added services.
- Benefits: Enjoy competitive pay, a trusting work environment, and opportunities for professional growth.
- Why this job: Be part of a collaborative team that values innovation and inclusivity while making an impact in technology.
- Qualifications: Experience with SoMs, AI frameworks, and programming languages like Python and C/C++ is essential.
- Other info: This role is remote, offering flexibility to balance work and life.
The predicted salary is between 36000 - 60000 £ per year.
Position:
Technology Field Application Engineer High Embedded/AI
Job Description:
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 all over the world. Our business is based on a trusted, long-lasting net of relationships with industry leaders, both on the supplier and customer side.
Find more information about us on our page: www.arrow.com/en/components
And watching the following Arrow Corporate Video – YouTube
TECHNOLOGY FIELD APPLICATION ENGINEER AI
Arrow\’s Global Components is looking for a Technology Field Application Engineer AI. In this position, you will be specializing in AI, high-end processing, and system-on-modules (SoM) serves as a technical liaison between a customer\’ engineering teams and suppliers. This role focuses on providing expert support, technical guidance, and solutions for integrating advanced processing technologies into customer applications.
What will you be doing at Arrow GC?
- You will be responsible for technical pre-sales support: Assist customers in selecting and designing AI-driven and high-performance computing solutions based on system-on-modules and chips
- Customer Engagement: Work closely with customers to understand their technical requirements and help them optimize AI algorithms, hardware acceleration, and embedded computing systems.
- Product Integration & Troubleshooting: Support customers in integrating SoM-based AI and high-end processing solutions into their applications, ensuring seamless hardware and software compatibility.
- Training & Documentation: Conduct technical 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 high-performance processing capabilities.
What are we looking for?
- You have 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.
- Expertise in programming languages such as Python, C/C++
- Excellent problem-solving and communication skills to engage with both technical and non-technical stakeholders.
What is in it for you?
- Competitive and attractive employee compensation package – salary consists of base and variable compensation
- Reliable & trusting work environment
- Cooperative team with flat structures and communication
- Professional and personal development
Arrow is an equal opportunity employer and is committed to creating an inclusive and diverse working environment by providing equal employment opportunities for all qualified persons.
Do you see yourself as our future colleague? If yes – send us your application.
#LI-MW2
Location:
UK-United Kingdom – Remote
Time Type:
Full time
Job Category:
Sales
#J-18808-Ljbffr
Technology Field Application Engineer High Embedded/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 High Embedded/AI
✨Tip Number 1
Familiarise yourself with the latest AI and high-performance computing technologies. Being well-versed in current trends and advancements will not only boost your confidence but also impress the interviewers with your knowledge.
✨Tip Number 2
Engage with the community by participating in forums or attending webinars related to AI and embedded systems. This will help you build connections and gain insights that could be beneficial during your application process.
✨Tip Number 3
Prepare to discuss real-world applications of AI and SoM technologies. Think of specific examples where you've successfully integrated these solutions, as this will demonstrate your practical experience and problem-solving skills.
✨Tip Number 4
Showcase your communication skills by practicing how to explain complex technical concepts in simple terms. This is crucial for a role that involves liaising between technical teams and customers, so being able to convey ideas clearly will set you apart.
We think you need these skills to ace Technology Field Application Engineer High Embedded/AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with System-on-Modules, AI/ML frameworks, and programming languages like Python and C/C++. Emphasise any previous roles that involved technical pre-sales support or customer engagement.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your skills align with Arrow's needs. Mention specific projects where you've successfully integrated AI-driven solutions or provided technical support to clients.
Showcase Technical Skills: Include a section in your application that showcases your technical skills, particularly in AI frameworks like TensorFlow and PyTorch, as well as your problem-solving abilities. This will help demonstrate your fit for the Technology Field Application Engineer position.
Prepare for Potential Questions: Anticipate questions related to your experience with high-performance computing and embedded systems. Be ready to discuss specific examples of how you've engaged with customers to optimise their applications and troubleshoot issues.
How to prepare for a job interview at Motorsport Network
✨Showcase Your Technical Expertise
Make sure to highlight your experience with System-on-Modules and edge AI processors during the interview. Be prepared to discuss specific projects where you've successfully integrated AI-driven solutions, as this will demonstrate your capability to meet the technical requirements of the role.
✨Understand the Company's Products
Familiarise yourself with Arrow Global Components' offerings and their applications in the industry. This knowledge will allow you to engage more effectively with the interviewers and show that you're genuinely interested in the company and its products.
✨Prepare for Problem-Solving Scenarios
Expect to face technical problem-solving questions during the interview. Brush up on your knowledge of AI/ML frameworks and be ready to explain how you would approach troubleshooting integration issues or optimising performance in customer applications.
✨Communicate Clearly and Confidently
Since the role involves liaising with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Good communication skills are essential, so ensure you convey your ideas clearly and confidently throughout the interview.
