Deep Learning Engineer
About Embedl
Embedl is a fast-growing technology start-up based in Gothenburg, Sweden. With a team of over 20 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
We are seeking a talented Deep Learning Engineer to join our team in developing our flagship product, the Embedl SDK—a Python library that empowers businesses to create efficient AI models, optimized for embedded hardware.
Responsibilities
- Implementing features and functions in Embedl’s software products to enhance performance and user experience.
- Benchmarking optimization algorithms by training models and deploying them to hardware.
- Improving hardware support by integrating AI tools from industry leaders such as Nvidia, Intel, Xilinx, ARM, Qualcomm, STMicroelectronics, Ambarella, Texas Instruments, and NXP.
Who You Are
You are a curious and hands-on developer with excellent problem-solving skills, ready to help us deliver a modern and high-quality software product. You are self-driven, communicative, and thrive when given high-level responsibilities and complex problems to solve. As a team player, you are eager to learn from others and contribute to a positive working environment.
Qualifications
Must-Have
- Academic degree in Computer Science, Physics, Electrical Engineering, or equivalent skills achieved through experience.
- Excellent coding skills in Python.
- Experience developing deep learning models using PyTorch, Jax, Keras and/or TensorFlow.
- Experience with libraries for scientific computing, such as Numpy, Scipy and Matplotlib.
- 2-5 years of industry experience in software development, preferably in sectors like automotive or telecom where code quality is paramount.
Nice-to-Have
- Familiarity with developing AI models for embedded hardware.
- Experience with C, C++, CUDA.
- FPGA or embedded programming.
- Knowledge of data visualization tools.
- Experience working in a Linux environment.
- Experience with Git, Docker, and Agile methodologies.
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 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 our HR Manager Ann Tornberg at jobs@embedl.com.
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!
- Locations
- Göteborg
Göteborg
Workplace & Culture
We have a very flat organization where every colleague bring their specific expertise and experience in the decision making. A lot of what we do is bleeding edge research, so there is no failures, only new findings to learn and grow from.
About Embedl
EmbeDL is a research spin-out dedicated to make Deep Learning based AI extremely efficient in embedded systems. Efficient from a cost-, time- and energy perspective.
Deep Learning Engineer
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