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Deep Learning / HPC Infrastructure Engineer

Do you want to be responsible for upkeep and future expansion of the full Deep Learning platform for Zenuity? We are looking for a specialist that will help us push the AD boundaries. 

Your opportunity: A broad role with several interfaces to a global organization, combined with a specialist touch. Do you want to be responsible for upkeep and future expansion of the full Deep Learning platform for Zenuity? We are looking for an infrastructure specialist that will help us push the AD boundaries. 

Main responsibilities

Zenuity is a company developing software for Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) features for the automotive market. In this role you will be working in a team tasked with developing and improving the hardware and software stack for the Zenuity Deep Learning teams. You will be working with the full infrastructure, from hardware platform up to the development toolchain. Your team is tightly connected to the Deep Learning teams to ensure that your solutions will the best combination of their needs and your expertise.

The platform is fully based on Linux and containers, which is very open source oriented. You prefer Linux as your primary platform and this is where you have the most experience. You are fully comfortable working in the terminal and prefer configuration files and scripts over GUIs.

As a person, you are used to taking responsibility for tasks and see them through from initial request to full implementation. You need to be comfortable doing hands on work and should be a doer. And you must be comfortable with the environment being built from the ground up and changing at a rapid phase. 

As a Deep Learning Infrastructure specialist at Zenuity, you will be creating a new platform for Deep Learning and be a leader in an area of technology where there are no rules and no one to copy from. This challenge must excite you and you must feel comfortable that you have the experience to take this task on.

The platform is based on GPU equipped computation systems with an extreme core density per node. The team is responsible for delivering a toolchain that will push this hardware to the limit of its performance and make the most out of every single component.

Tasks

You will work with both hardware and software related to our Deep Learning Infrastructure. This includes everything from adapting and expanding the hardware platform all the way up to the development toolchain used by our teams.

Your responsibility comprises

o Build worldclass Deep Learning infrastructure

o Develop the Deep Learning toolchain and training platform (GPU compute cluster)

o  Collaborate with Deep Learning teams to develop the training environment using DevOps     principles and tools

o  Develop and maintain existing hardware and software platforms 

o  Cross collaboration with other Zenuity IT teams to build large scale data platform

Qualifications

To be successful in this role you should have a solid understanding of software development, Linux and Open Source. In addition, we believe you meet the following requirements:

o  Minimum 5 years of experience from Linux and Open Source

o  Minimum 2 years of experience as a DevOps or HPC role

o  Have good understanding of containerized environments in general and Docker in particular

o  Experienced in GPU based computational cluster, Kubernetes and Slurm is an advantage

o  Developer background with good understanding from software development

o  Experience with management tools and automation (for example Ansible and Docker  Compose)

o  Enjoy working in an international organization with people from different Cultures

o  Share our Zenuity values; I dare to, I am curious, I engage, I trust and I share… with the highest integrity

Nice to have

o  Be comfortable in one or more of the common scripting languages available in the Linux environment

o  Experience from Artifactory and GIT/Gerrit

o  Knowledge about running VMware Environments

o  Coding experience in Python, Go, Java etc

o  Agile way of working experience


About Zenuity

ZENUITY is a pure software company with the mission of elevating people’s lives by making self driving cars real. Being a joint venture between Volvo Cars and Veoneer from April 2017 we are a truly modern start-up with high energy, dedication and passion. Zenuity uses a disruptive, never-been-seen before, business model to produce world-leading competence in key technology areas. Delivering leading advanced driver assistance, highly automated driving, and cloud based Automotive software, we are dedicated to transforming the automotive industry and catapulting into the future of transportation. With over 600 employees worldwide and with a unique growth rate we are recruiting top talent to our sites in Gothenburg, Detroit, Munich, Santa Clara, Shanghai and Linköping. 

Zenuity work 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.

 

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

Gothenburg, Sweden

Lindholmspiren 2
417 56 Gothenburg, Sweden Directions recruitment@zenuity.com

Making safe and intelligent mobility real.

At Zenuity, we lead the global movement of crafting tomorrow's mobility with the software platform of choice. Our mission is to “Make safe and intelligent mobility real, for everyone, everywhere”. This statement marks our conviction and dedication to bring autonomous driving out on the streets for real and is at the center of everything we do.  

We could not dream of achieving this without our great teams of very talented people. We are on this journey together and our agile way of working is reflected throughout our entire organization; it is part of our culture and how we work, develop and grow together. 

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