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Machine Learning Software Engineer
6 days ago
We are a fast-growing technology start-up based in Gothenburg, Sweden.
Our team consists of over 20 dedicated professionals who are passionate about making AI affordable and efficient in embedded systems. 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.
Key Responsibilities:
- Implementing features and functions in our 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.
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:
- An 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:
A collaborative culture that values teamwork, knowledge sharing, and a positive working environment.
Professional growth opportunities, including continuous learning, mentorship, and career advancement.
A comprehensive benefits package, including health and wellness allowance and private health insurance.
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