Bright minds,
sharp solutions

Luxoft is a global IT service provider of innovative technology solutions that delivers measurable business outcomes to multinational companies. Its offerings encompass strategic consulting, custom software development services, and digital solution engineering. Luxoft enables companies to compete by leveraging its multi-industry expertise in the financial services, automotive, communications, and healthcare & life sciences sectors. For more information, please visit the website.

Line of Business:



ADAS Toolchain Engineer (MATLAB)

Project Description

Luxoft invites you to join a young, innovative team working on the cutting edge of advanced driver assistance systems (ADAS) and connectivity for global car manufacturer.

Your work domain will be toolchain development, data analytics and modeling – an essential part of designing exciting, potentially life-changing ADAS and data processing applications.

Developing ADAS toolchain you will work with:
• Complex math data models for electronic control units (ECU)
• Approaches to data analysis and model optimization
• Methods of data collection and monitoring
• Data quality assessment techniques

Above all, we search for a reliable, result-oriented person with initiative. A developer dedicated to his work and keen on keeping commitments. A good team member, thorough and accurate, which will help the team to take professional pride in their work, while constantly striving for high quality solutions.

Benefits info: Luxoft offers competitive compensation and great benefits, including: full Medical, Dental & Vision insurance as well as a 401(k) plan with great matching on contributions, above average Vacation/Personal time, and many more benefits and perks!


This job will be both challenging and extremely interesting for a person with an analytical mind. It will require intense usage of all your mathematical background and programming skills. Your main responsibilities will be:
• Analysis of the data and pattern identifications
• Building of correspondence matrices based on cross-analysis of data from various sources (such as GPS, diagnostics, driving context, customer surveys etc.)
• Development of mathematical models
• Development and maintenance of data analysis and optimization tools
• Development of data quality assessment instruments
• Analysis of technological and scientific publications
• Data visualization



• MATLAB Programming
• MATLAB scripting - Elementwise and vectorization
• Lint in MATLAB
• Data types in MATLAB
• Profiling in MATLAB
• Lua and/or Python will be an advantage
• Ability to analyze data from multiple sources

Experience in working with:
• Data from GPS (datum, API to external map supplier, etc) highly desired
• Large data sets (100's Gb) in an efficient coding style desired
• Video in MATLAB desired

Nice to have

• Experience in Statistics (Statistical Analysis)
• Machine Learning Algorithms
• Signal processing in MATLAB
• Knowledge of QNX would be an advantage
• Automotive industry upstream would be preferred


  • English: Advanced/Fluent
  • English: Native
  • English: Upper-intermediate

Relocation package

If needed, we can help you with relocation process. Click here for more details:

Farmington Hills
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