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- Tasks: Design and optimise machine learning workflows for cutting-edge AI solutions.
- Company: Join Qualcomm's innovative team in the Mobile and Industrial IoT division.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on personal and team growth.
- Why this job: Be at the forefront of Edge AI technology and make a real impact.
- Qualifications: Experience in software development and machine learning is essential.
The predicted salary is between 36000 - 60000 £ per year.
Company: Qualcomm Technologies International Ltd
Job Area: Engineering Group, Engineering Group > Software Applications Engineering
Are you ready to combine the fast-paced energy of an innovative startup with the resources and stability of a global tech leader? This opportunity blends both worlds into one. Edge Impulse has joined forces with the Mobile and Industrial IoT division of Qualcomm, and we are growing our team because Edge AI is an important part of Qualcomm’s diversification roadmap.
Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered. Powerful automations make it easier to build valuable datasets and develop advanced AI for edge devices from MCUs to CPUs to GPUs.
We are growing!
This technical pre-sales engineering opportunity works with our customers to build and optimize their data management and machine learning strategy. Focus on device-aware machine learning, data onboarding, curation, tuning, and extensibility.
Are you excited about Edge AI? Want to design data pipelines and embedded machine learning solutions for next-generation intelligent products & devices going to market? This is an opportunity to gain experience working across multiple industries, use cases, and technical domains.
Primary Responsibilities
- Guide and collaborate with prospective customers as a trusted technical advisor to design and optimize their data management, machine learning workflow, and model deployment with Edge Impulse.
- Contribute to sales & marketing activities by participating in events, visiting prospects, and performing presentations, and demonstrations.
- Work with engineering and account management teams to envision machine learning solutions and solve technical challenges for intelligent devices in industries such as industrial productivity, digital health, and more.
- Develop transformation, processing, training, and deployment code to create machine learning models from large datasets and deploy to resource-constrained devices.
Preferred Skills and Experience
- Track record of multi-disciplinary problem solving and working across domains, teams, and companies to develop complex technical solutions.
- Experience developing embedded or cloud software (python, C/C++, or equivalent) with exposure to Linux or RTOSs.
- Experience with data analysis & machine learning, including Python ML & data libraries (e.g. TensorFlow, Keras, PyTorch, NumPy, Pandas, or equivalent).
- Experience developing, launching, or maintaining technical products in relevant commercial industries (e.g. industrial, medical, automotive, IoT, or related markets).
- Track record of teaming, leading, and consulting to drive ambitious technical projects to success in lean distributed remote organizations.
- Fostering a growth mindset with a demonstrated history of learning, adapting, improving, and growing individually, as a team, and with your customers.
Academic Credentials
Bachelor\’s in computer science, data science, computer engineering, or related scientific/technical field
Master’s degree preferred
Minimum Qualifications
- Bachelor\’s degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.
- Master\’s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
- 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
- 1+ year of experience with debugging techniques.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process.
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Solutions Engineer - Remote, UK employer: Qualcomm
Contact Detail:
Qualcomm Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Engineer - Remote, UK
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend relevant meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and data management. This will give you an edge during interviews and help potential employers see what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding the latest trends in Edge AI. Practice common interview questions and be ready to demonstrate your problem-solving abilities with real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Qualcomm.
We think you need these skills to ace Solutions Engineer - Remote, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Solutions Engineer role. Highlight your experience with machine learning, data management, and any relevant programming skills. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about Edge AI and how your skills can contribute to our team. Keep it engaging and personal – we love to see your passion!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples of how you've tackled complex technical challenges in the past. We’re all about multi-disciplinary problem solving, so let us know how you’ve made an impact!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Qualcomm
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and tools mentioned in the job description, like Python, C/C++, and machine learning libraries. Brush up on your knowledge of data management and machine learning workflows, as you'll need to demonstrate your technical expertise during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex technical challenges in previous roles. Think about specific projects where you collaborated with teams to develop solutions, especially in areas like industrial productivity or digital health. This will highlight your ability to work across domains and showcase your multi-disciplinary problem-solving skills.
✨Demonstrate Your Growth Mindset
Be ready to discuss how you've learned and adapted in your career. Share instances where you’ve taken feedback on board and improved your skills or processes. This aligns perfectly with the company’s focus on fostering a growth mindset, so make it a key part of your conversation.
✨Engage with the Company’s Vision
Research Qualcomm and Edge Impulse’s role in Edge AI. Be prepared to discuss how you can contribute to their mission of streamlining AI and machine learning for edge hardware. Showing genuine interest in their goals will set you apart and demonstrate that you’re not just looking for any job, but are excited about this specific opportunity.