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Senior Data Scientist for AD Verification & Validation

Is a data-driven approach your preferred way to solve complex engineering problems? Let's quantify the world around the vehicle to make self-driving cars a reality. But first, we need you!
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What will you do?

One of the key challenges for autonomous cars is verification and validation of the developed features and ensuring that the AD feature is safe.  How would you know what kind of scenarios the vehicle will be exposed to within its operational design domain and how do you ensure that the software can handle statistically relevant scenarios? In this role you will be part of a team taking a data-driven approach to this challenge, trying to quantify the world around the vehicle through scenarios. Within the team you will be able to work with data, advanced statistical modelling, machine learning techniques and closed loop simulations to obtain one of the keys in achieving a safe AD feature. Together with the team, you will have the great opportunity to do something that has never been done before.

 This could include:

  • Develop statistical methods (mostly in Python) to explore the high-dimensional scenario space.
  • Ensure the completeness and representability of the collected data - work with and/or build large databases.
  • Explore the use of machine learning and artificial intelligence to characterize and generate scenarios that can be challenging for an autonomous vehicle.

We see that you have:

  • High academic background, preferably a PhD relevant to Signal Processing, Mathematics/Statistics or equivalent knowledge in statistical learning
  • Strong programming skills in Python and Matlab
  • Familiar with functional safety
  • You appreciate collaboration methods like pair- or mob programming and have experience with the typical agile software development toolset (e.g. TDD)
  • Being creative and innovative with a combined ability to bring tasks to completion Fostering continuous improvement, embrace an open feedback culture and dare to fail fast
  • Good to be familiar with rare event estimation and reliability analysis, but not a must

 The rest, you tell us


Flexible-remote way of working: Zenseact has a flexible and modern approach, thus is happy to offer to its employees the possibility for a combination of work at the office and from home. This doesn't include fully remote work from outside Sweden/China.

More about Zenseact

Zenseact’s purpose is to make safe and intelligent mobility real, for everyone, everywhere. We develop the complete software stack for ADAS and AD, from sensing to actuation. Our focus is to build a single cutting-edge software platform in order to serve various levels of autonomy and offer unequaled scalability at the same time. We operate out of Gothenburg, Sweden and Shanghai, China. Zenseact’s first self-driving deployment will be launched on the next-generation vehicle platform from Volvo Cars.


Self-driving cars, when real, is estimated to reduce fatal car accidents with more than 85%, saving more than 50,000 persons from dying in car accidents caused by human errors each year. We feel that is a goal worth pursuing.


But technology, software, tools and datasets would not mean much without the best people behind the wheel to drive them. At Zenseact, some five hundred of the best engineering minds globally, stationed across two continents, are collaborating with the same passion: to bring autonomous driving to the streets for real and create a safer journey for everyone. This is part of our culture and how we work, develop and grow together.

Zenseact works proactively to create a culture of diversity and inclusion, where individual differences are appreciated and respected. To drive innovation we see diversity as an asset, which means we value and respect differences in gender, race, ethnicity, religion or other belief, disability, sexual orientation or age etc.

 

Interviews are held on a continuous basis, so we highly recommend that you submit your application at your earliest convenience.

 

Additional information

  • Remote status

    Flexible remote

Or, know someone who would be a perfect fit? Let them know!

Gothenburg, Sweden

Lindholmspiren 2
417 56 Gothenburg, Sweden Directions View page

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