Senior Python Developer (C++, Sensors, Embedded)

A large American company that manufactures electronics.

✅Salary: discussable

✅What You Will Do 

• Collaborating with data scientists, AI Engineers and Research Engineers to improve processes and procedures for machine learning training and validation.

• Build infrastructure, framework, platform and tools that power our Machine Learning research including automated data collection, analysis and validation.

• Develop algorithms and various ways of data processing and data analysis.

• Collaborate with other teams/groups. Close collaborations with DevOps and Data collection teams.

✅What You Need 

• Bachelor or Master Degree in math, physics or chemistry

• 2+ years of research experience in one of the following areas: applied math, physics, chemistry

• 5+ years of relevant experience

• Experience writing code in Python in a commercial or research setting

• Experience in software development using C/C++

• Experience using NumPy, SciPy and similar compute frameworks

• Experience working with large datasets, ideally containing images and videos

• Knowledge of the basics of DSP (spectral analysis, temporal analysis, correlation analysis, etc.)

• Knowledge of multithreading, multiprocessing, inter-process communications and synchronization mechanisms

• Knowledge of algorithms, data structures

• Experience with CI tools such as Git, Jenkins, Jira

• Strong written and verbal communication skills

• Ability to interpret and articulate analytical results

✅What is Nice to Have 

• Degree in Computer Science and/or SW Engineering

• Video processing software (ffmpeg, OpenCV)

• Geo-information algorithms (processing and analysis of navigation data)

• Familiarity with front-end technologies, such as JavaScript, HTML5 and CSS3

• Experience in software development using JS, Bash is a plus

• Performance optimization is a big plus

• Familiarity with various testing tools

• Experience in Artificial Intelligence, Machine Learning and Distributed Computing

• Experience with practical data science or statistical analysis

• Experience working on research in a commercial environment

✅What We Offer 

• Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside company's or customer location

• Access to employee discounts on world-class products

• Extensive training opportunities through our own University

• Competitive wellness benefits

• Tuition Reimbursement

• Access to Corporate Campus Fitness Center and Cafeteria

• An inclusive and diverse work environment that fosters and encourages professional and personal development