Senior Deep Learning Platform Engineer Engineering Roles · Gothenburg, Sweden ·

2 days ago


Göteborg, Sweden Zenseact Full time

Are you a Senior Deep Learning Platform Engineer? Do you want to work with cutting-edge technology in a warm inclusive culture, with highly skilled people - and help save millions of lives in the process? Apply today - no CV needed, all we need is your name, email and phone number We'll cover the rest later.

Insights from the team

Our team is responsible for the design, setup, operations, and continuous development of a large-scale compute and storage environment for Deep Learning and Machine Learning. This infrastructure supports the development of Zenseact's autonomous driving technology.

In the team, we prioritise sharing knowledge and learning from one another every day. We aim to make data-informed decisions while remaining pragmatic, accepting that today’s best decision may be improved tomorrow. By addressing both operational issues and long-term design goals, we continuously refine the system architecture for Deep Learning based on user feedback. As a central hub for software and data flow, we work closely with numerous groups, users, and stakeholders daily.

Your mission and day-to-day tasks

You will collaborate in an agile team with IT colleagues in Sweden and interact with external partners. Your decisions will influence the outcomes, and you will be trusted and empowered to solve problems to deliver the IT services and solutions the business needs. You’ll work to standardize and automate processes, ensuring a Deep Learning Infrastructure environment that is easy to monitor and maintain.

Your tasks will include:

- Collaborating with Deep Learning and Machine Learning developers to improve methods, workflows, application optimisation, and automation, enhancing user experience and efficiency.
- Acting as a Subject Matter Expert in internal and external IT projects for Deep Learning and Machine Learning.
- Partnering with external service providers to implement standards, troubleshoot advanced issues, and review/sign off Root Cause Analysis reports.

What’s in it for you

- Work at the forefront of tech in one of Sweden’s biggest and most interesting, challenging and dynamic AI/ML companies.
- Collaborate with highly skilled, innovative, creative and smart people.
- Work with people from all over the world, close to what science just came up with.
- Enjoy a flexible work approach and a genuinely good work/life balance.

Qualifications & experience

You are motivated to learn and grow, with experience administering Deep Learning and Machine Learning Infrastructure in enterprise environments using modern DevOps tools. You are skilled at collaborating with customers, suppliers, and colleagues to reach shared goals.

To excel in this role, we value:

- 3+ years of experience providing solutions for large IT environments, especially those focused on Deep Learning and Machine Learning.
- Advanced Linux experience, such as working as a system engineer.
- A broad understanding of system-level solutions, with proficiency in the technical implementation of large-scale data centers, including storage, backup, and compute.
- Solid experience in enabling and optimising infrastructure platforms to meet diverse needs (e.g., fast, flexible, cost-efficient systems).
- The ability to gather and translate requirements into actionable solutions for Deep Learning and Machine Learning environments.

Ideal, but not a must have:

- Experience with large-scale data processing, including networks, servers, clients, and storage.
- Familiarity with tools and technologies such as:
- Hierarchical and parallel file systems (e.g., Lustre, GPFS).
- Batch systems (e.g., PBS, SLURM, SGE).
- Identity management systems (e.g., Active Directory, SAML, OAuth).

More about Zenseact

Our software makes a difference.
Using AI-based technology to create the ultimate driver support, we’re fighting to end car accidents and make roads safe for everyone. Every year, around 1.4 million people die in traffic while approximately 50 million people get injured. Many get disabled as a result of their injury. We can do better.

One purpose, one product.
We’re a software company dedicated to revolutionizing car safety. By designing the complete software stack for autonomous driving and advanced driver-assistance systems, we’re fighting to end car accidents and make roads safe for everyone. Zenseact was founded by Volvo Cars, and the teams are based in Gothenburg and Lund, Sweden, Munich in Germany and Shanghai, China. When we aim for zero accidents faster, we strive to speed up the transition to safe automation. This is essentially achieved by making cars updatable – like a computer or a phone. With regular software updates, a vehicle can be made safer long after its production. By accelerating improvement loops, shortening development cycles, and deploying high-capacity software quickly, we can make cars safer, and faster.

Culture with people at heart
To achieve our mission of saving lives and ending traffic accidents we must go where nobody has before. It requires us to venture into the unknown, pioneering new technology and pushing the frontier of autonomous driving. While there’s no denying our determination and expertise, we must stand united to succeed. By fostering a culture of support and enablement – a place of psychological safety where all of us can thrive – everything else will follow. We call this a people-at-heart culture. This culture means caring. It means the company cares about me, and we care about one another. It means sharing, so we give each other energy and have fun together. Our culture is also about belonging. It’s important to feel at home and that we can be ourselves at work. Finally, a people-at-heart culture means well-being. So, we enjoy the flexibility needed to be and do our best – at work and in life.

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 continuously, so we highly recommend that you submit your application at your earliest convenience.

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