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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, remote work options, and a supportive team environment.
- Why this job: Be part of an innovative team shaping the future of AI and embedded systems.
- Qualifications: Experience with SoMs, AI frameworks, and programming languages like Python and C/C++ required.
- Other info: This role offers professional growth in a diverse and inclusive workplace.
The predicted salary is between 36000 - 60000 £ 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 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.
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's 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.
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 technologies and System-on-Modules (SoMs) relevant to the role. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the embedded systems and AI sectors. Attend industry events, webinars, or local meetups to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to showcase your problem-solving skills through practical examples. Think of specific challenges you've faced in previous roles and how you overcame them, especially in relation to AI integration or customer support.
✨Tip Number 4
Research Arrow Global Components thoroughly. Understanding their products, services, and market position will allow you to tailor your discussions and show genuine interest in contributing to their success.
We think you need these skills to ace Technology Field Application Engineer High Embedded/AI
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Technology Field Application Engineer position. Familiarise yourself with AI technologies, System-on-Modules, and the specific skills mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in AI/ML frameworks, programming languages, and any previous roles that involved customer engagement or technical support.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and your understanding of Arrow Global Components. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work with both technical and non-technical stakeholders.
Showcase Your Technical Skills: In your application, provide examples of your experience with AI-driven solutions, embedded systems, and high-performance computing. If possible, include links to any relevant projects or portfolios that demonstrate your capabilities in these areas.
How to prepare for a job interview at Motorsport Network
✨Know Your Tech
Brush up on your knowledge of System-on-Modules, AI processors, and relevant frameworks like TensorFlow and PyTorch. Be prepared to discuss how these technologies can be integrated into customer applications.
✨Showcase Problem-Solving Skills
Prepare examples of past experiences where you successfully solved technical challenges. Highlight your ability to troubleshoot and provide solutions in high-performance computing environments.
✨Engage with the Interviewers
Demonstrate your communication skills by engaging with both technical and non-technical interviewers. Ask insightful questions about their projects and express genuine interest in their work.
✨Prepare for Practical Scenarios
Expect to discuss real-world applications of AI and embedded systems. Be ready to outline how you would approach a project from pre-sales support to product integration and training.
