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- External ads
- Remote Göteborg
Website Sveic AB
We are seeking a skilled Embedded Software Engineer to join our dynamic team on behalf of our client. This role is crucial in developing and managing cutting-edge data management solutions tailored to the automotive industry’s ADAS development and verification.
Job Description:
You will be tasked with the development of scalable services to handle large-scale data ingestion daily, creating adaptable solutions for both cloud and on-prem environments, and providing end-user interfaces that meet the needs of our stakeholders. The role also involves collaboration with other teams that utilize or operate the services developed.
Responsibilities:
Develop and maintain scalable data ingestion services.
Design solutions applicable to both cloud and on-premises requirements.
Enhance user interfaces to align with stakeholder expectations.
Collaborate with various teams to refine and utilize the services effectively.
Analyze software requirements to optimize operational efficiency.
Maintain documentation and develop proof of concepts for new ideas.
Required Skills:
Experienced in designing, developing, testing, and deploying applications on AWS.
Skilled in building data pipelines in cloud environments.
At least 3 years of industry experience in software development.
Proficiency in Python, C and C++
Understanding of deep learning architectures (CNNs).
Familiarity with automotive sensor data (cameras) is desirable.
Software Tools: TensorFlow, PyTorch, Keras, or similar.
Team Player: Collaborative mindset and ability to work effectively in a multidisciplinary team.
Location: Linköping or Stockholm, Sweden
Remote Work: Partially
- External ads
- Remote Göteborg
Website Sveic AB