Embedded Software Engineer (Deep Learning)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Embedded Software Engineer (Deep Learning): Develop production-ready video analytics algorithms for Linux embedded systems with an accent on deep learning and classical computer vision. Focus on optimizing embedded system performance, algorithm development, and collaboration across product teams.
Location: On-site in Lund, Sweden
Company
is a world leader in network video technology, providing innovative security and surveillance solutions globally with a strong focus on collaboration, diversity, and sustainability.
What you will do
- Develop and optimize video analytics algorithms using deep learning and classical computer vision for embedded Linux systems.
- Collaborate closely with product and solutions teams to enable new product features.
- Contribute to software design and architecture within a skilled, agile team.
- Work hands-on with algorithm research and production-ready implementation.
- Optimize embedded system performance for new competitive products.
Requirements
- Must be located in Lund, Sweden and able to work on-site.
- Masterβs degree in computer science, physics, mathematics engineering or equivalent with relevant experience.
- Experience in C and Python programming and software development for embedded systems.
- Strong interest and experience in deep learning and computer vision algorithms.
- Good communication skills and teamwork mindset.
Nice to have
- Experience with software design and architecture.
- Knowledge of test automation and build systems.
Culture & Benefits
- Work in a collaborative, innovative environment with a focus on individual growth.
- Company bonus, wellness allowance, health insurance, and other benefits.
- Dynamic Lund HQ campus with spaces for collaboration and social activities.
- Support for continuous learning and professional development.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ Π²Π°Ρ ΠΏΡΠΎΡΡΡ Π²ΠΎΠΉΡΠΈ Π² iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β