Senior Technical Lead - ADAS In-Cabin Perception Data - F/M/X

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Job description

We are seeking a Senior Technical Lead to coordinate and drive the delivery of perception data annotation within an advanced ADAS in-cabin perception program.

This role acts as a bridge between annotation operations, data engineering teams, and perception system developers, while also owning key technical aspects of data pipelines, dataset readiness, and infrastructure orchestration.

It combines hands-on senior engineering work with technical delivery leadership and coordination responsibilities.

Required Skills & Experience

Must Have:

• 5+ years of experience in a data engineering or related technical role
• Strong Python development skills
• Solid SQL knowledge for metadata querying and validation
• Experience working with large-scale video or sensor datasets
• Strong experience with Docker and Kubernetes (AKS preferred)
• Experience with Databricks and Azure cloud environments
• Understanding of:
• Dataset versioning strategies
• Data lineage tracking
• Training dataset curation workflows

Nice to Have:

• Experience with large-scale automotive or embedded data platforms
• Exposure to data streaming systems
• Understanding of ROS2 ecosystem and bag file processing

Technical Environment

• Python
• SQL
• Docker
• Kubernetes
• Azure Cloud
• Databricks
• Big Data / Sensor Data pipelines
• ROS2 (optional)

Language Requirements

• English: Fluent (mandatory)

Profile

• Senior-level engineer with 7-10 years of experience
• Strong technical leadership and coordination ability
• Comfortable bridging engineering and delivery teams
• Experience in data-heavy, distributed, and complex systems
• Strong communication and stakeholder coordination skills

Key Responsibilities

• Design, implement, and maintain data ingestion and preprocessing pipelines for perception datasets
• Translate perception engineering requirements into clear annotation tasks and dataset specifications
• Build and support scalable dataset workflows using:
• Python-based processing services
• SQL-based metadata management
• Containerized workloads (Docker/Kubernetes)
• Deploy and maintain annotation support services and dataset tools using Docker & Kubernetes (AKS preferred)
• Process and prepare perception data from ROS2 data streams / bag files into usable training datasets
• Support dataset transformation and orchestration in Databricks and Azure environments
• Coordinate daily work of data annotation resources
• Plan annotation batches, dataset releases, and validation cycles
• Conduct review sessions and ensure dataset quality and acceptance criteria

What we offer

• An international community bringing together 110+ different nationalities
• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
• A robust training system with our internal Academy and 250+ available modules
• A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.)
• At Mantu, sustainability is part of everything we do. You'll have the opportunity to turn your ideas into action and make a tangible impact. Every day, our teams bring our ESG commitments to life, from reducing our footprint to driving positive change within our communities. Through our WeCare Together program, you'll be empowered to design and lead projects that create real social or environmental impact, with the company's full support.

Salary range: From 53,333 SEK to 66,667 SEK

The stated salary falls within the established salary range for the position and is determined based on experience, skills, and level of responsibility, in accordance with our policy of fair and non-discriminatory compensation.

Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
Who are we?
Amaris Consultingis an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

Interviews(the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!