Deep Learning Application Engineer
5 days ago
About Embedl
Embedl is a fast-growing technology start-up based in Gothenburg, Sweden. With a team of almost 30 dedicated professionals, we are on a mission to make AI affordable and efficient in embedded systems. Our development team is headquartered in Gothenburg, and our innovative solutions serve customers all over the world. We maintain close connections with academic research institutions, industry leaders, and the innovation ecosystem, supported by strong relationships with venture capital partners.
The Role
As a Deep Learning Application Engineer, you sit at the intersection of engineering and customer success. Your mission is to ensure that every customer can leverage Embedl's SDK and research breakthroughs with confidence and speed. You will guide onboarding sessions, run deep-dive workshops, translate customer needs into engineering tasks, and build technical solutions that improve the customer experience and help our users succeed.
Responsibilities
- Act as the technical bridge – Gather customer feedback, clarify requirements, and channel insights back to our technical and business teams.
- Lead customer onboarding & workshops - Plan and run hands-on sessions that make complex topics approachable and actionable.
- Create & improve technical material - Craft tutorials, sample projects, and best-practice guides that support both customers and internal teams.
- Implement features in Embedl's software products to enhance performance and user experience.
Who You Are
- A clear and confident communicator who can explain complex ideas to both technical and non-technical audiences.
- A curious and hands-on engineer with strong coding skills, eager to help deliver high-quality software.
- Enjoys solving challenging problems together with colleagues and customers.
- Independent and proactive, with the ability to take ownership and see things through.
Qualifications
Must-Have
- Academic degree in Computer Science, Physics, Electrical Engineering, or equivalent skills achieved through experience.
- Track record of presenting technical content, workshops, conference talks, or customer demos.
- 2+ years developing software in Python.
- Experience developing deep learning models using PyTorch, Jax, Keras and/or TensorFlow.
Nice-to-Have
- Experience of developing software in C++.
- Experience with model optimization techniques (pruning, quantization, NAS).
- Experience with inference acceleration on edge/embedded hardware.
- Experience with libraries for scientific computing, such as NumPy, SciPy and Matplotlib.
- Experience working in a Linux environment and experience with Git.
What We Offer
Collaborative Culture: Join a high-performance team that values teamwork, knowledge sharing, and a positive working environment.
Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
Benefits: Health and wellness allowance (friskvårdsbidrag) of 5000 SEK, wellness hour (friskvårdstimme) and private health insurance.
Application Process
The selection and interview process is ongoing, so please send your application in English as soon as possible. For any questions or clarifications, reach out to Ann Tornberg at
You are welcome at Embedl for who you are, no matter where you come from, what you look like, or what your favorite IDE is.
Join us at Embedl and be a part of shaping the future of efficient AI
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