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Modulai works with fish, trains, clothes, money, pets, office spaces, sound sensors and much more. If there is data, we do ML (Machine Learning) on it.

Our team consists of devoted ML engineers with strong track records from some of Sweden’s most successful startups. We work on project basis and take end-to-end responsibility. We love ML and we think that the best way for us to expand our knowledge is to be exposed to a diversified set of challenging and fun projects.

MACHINE LEARNING ENGINEER

As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. The projects could be external as well as internal – and in all cases – delivery is central.

You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data and then re-formulating it as a ML problem. It requires openness, creativity and an eagerness to learn new methodology and exploring new terrains.

We frequently attack these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us.

Our Stack

• Python / R – standard open-source libraries
• Scikit-learn and various specialized Python and R ML libraries
• Large Language Model (LLM) frameworks such as LangChain/LlamaIndex, LangGraph, CrewAI
• Cloud platforms such as AWS, GCP, and Azure
• CI/CD: DVC, Github Actions, Sagemaker/VertexAI/AzureML,
• Relational database management systems
• MLOps and LLMOps tools for model deployment and monitoring.
• Software engineering best practices, including testing, version control (Git), and containerization (Docker, Kubernetes)
• Orchestration: Airflow, AWS Step functions, etc Engineering/LLM/deployment: Kubernetes, docker, terraform

Responsibilities

• Analyzing and planning problems, solutions, and delivery with stakeholder managment, and communication with client
• Preprocessing, feature engineering, and dataset creation
• ML and LLM model development, fine-tuning, and evaluation
• Validation of results and model interpretability
• Building and optimizing data pipelines and ML/LLM infrastructure
• Developing APIs and integrating ML models into production systems
• Ensuring scalability, monitoring, and performance optimization of deployed models

Background & Skills

• MSc or Ph.D. in a quantitative field
• Excellent understanding of a broad set of ML and deep learning algorithms, including LLMs
• Strong software development skills in Python and experience with software engineering best practices
• Experience deploying ML and LLM models into production environments
• A passion for lean, clean, and maintainable code
• The desire to grow and to share insights with others

Helpful Knowledge

• Deep learning frameworks and transformer-based architectures
• LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)
• Data pipelining and ML/LLM infrastructure best practices
• DevOps experience, CI/CD, Kubernetes, and serverless architectures
• Experience with vector databases e.g (Pinecode, redis, and ElasticSearch) for LLM applications

About Team Modulai

At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well for large enterprises transforming ways of working.

Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it!

Apply here: https://modulai.teamtailor.com/

Modulai works with fish, trains, clothes, money, pets, office spaces, sound sensors and much more. If there is data, we do ML (Machine Learning) on it.

Our team consists of devoted ML engineers with strong track records from some of Sweden’s most successful startups. We work on project basis and take end-to-end responsibility. We love ML and we think that the best way for us to expand our knowledge is to be exposed to a diversified set of challenging and fun projects.

MACHINE LEARNING ENGINEER

As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. The projects could be external as well as internal – and in all cases – delivery is central.

You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data and then re-formulating it as a ML problem. It requires openness, creativity and an eagerness to learn new methodology and exploring new terrains.

We frequently attack these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us.

Our Stack

• Python / R – standard open-source libraries
• Scikit-learn and various specialized Python and R ML libraries
• Large Language Model (LLM) frameworks such as LangChain/LlamaIndex, LangGraph, CrewAI
• Cloud platforms such as AWS, GCP, and Azure
• CI/CD: DVC, Github Actions, Sagemaker/VertexAI/AzureML,
• Relational database management systems
• MLOps and LLMOps tools for model deployment and monitoring.
• Software engineering best practices, including testing, version control (Git), and containerization (Docker, Kubernetes)
• Orchestration: Airflow, AWS Step functions, etc Engineering/LLM/deployment: Kubernetes, docker, terraform

Responsibilities

• Analyzing and planning problems, solutions, and delivery with stakeholder managment, and communication with client
• Preprocessing, feature engineering, and dataset creation
• ML and LLM model development, fine-tuning, and evaluation
• Validation of results and model interpretability
• Building and optimizing data pipelines and ML/LLM infrastructure
• Developing APIs and integrating ML models into production systems
• Ensuring scalability, monitoring, and performance optimization of deployed models

Background & Skills

• MSc or Ph.D. in a quantitative field
• Excellent understanding of a broad set of ML and deep learning algorithms, including LLMs
• Strong software development skills in Python and experience with software engineering best practices
• Experience deploying ML and LLM models into production environments
• A passion for lean, clean, and maintainable code
• The desire to grow and to share insights with others

Helpful Knowledge

• Deep learning frameworks and transformer-based architectures
• LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)
• Data pipelining and ML/LLM infrastructure best practices
• DevOps experience, CI/CD, Kubernetes, and serverless architectures
• Experience with vector databases e.g (Pinecode, redis, and ElasticSearch) for LLM applications

About Team Modulai

At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well for large enterprises transforming ways of working.

Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it!

Apply here: https://modulai.teamtailor.com/

Modulai works with fish, trains, clothes, money, pets, office spaces, sound sensors and much more. If there is data, we do ML (Machine Learning) on it.

Our team consists of devoted ML engineers with strong track records from some of Sweden’s most successful startups. We work on project basis and take end-to-end responsibility. We love ML and we think that the best way for us to expand our knowledge is to be exposed to a diversified set of challenging and fun projects.

MACHINE LEARNING ENGINEER

As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. The projects could be external as well as internal – and in all cases – delivery is central.

You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data and then re-formulating it as a ML problem. It requires openness, creativity and an eagerness to learn new methodology and exploring new terrains.

We frequently attack these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us.

Our Stack

• Python / R – standard open-source libraries
• Scikit-learn and various specialized Python and R ML libraries
• Large Language Model (LLM) frameworks such as LangChain/LlamaIndex, LangGraph, CrewAI
• Cloud platforms such as AWS, GCP, and Azure
• CI/CD: DVC, Github Actions, Sagemaker/VertexAI/AzureML,
• Relational database management systems
• MLOps and LLMOps tools for model deployment and monitoring.
• Software engineering best practices, including testing, version control (Git), and containerization (Docker, Kubernetes)
• Orchestration: Airflow, AWS Step functions, etc Engineering/LLM/deployment: Kubernetes, docker, terraform

Responsibilities

• Analyzing and planning problems, solutions, and delivery with stakeholder managment, and communication with client
• Preprocessing, feature engineering, and dataset creation
• ML and LLM model development, fine-tuning, and evaluation
• Validation of results and model interpretability
• Building and optimizing data pipelines and ML/LLM infrastructure
• Developing APIs and integrating ML models into production systems
• Ensuring scalability, monitoring, and performance optimization of deployed models

Background & Skills

• MSc or Ph.D. in a quantitative field
• Excellent understanding of a broad set of ML and deep learning algorithms, including LLMs
• Strong software development skills in Python and experience with software engineering best practices
• Experience deploying ML and LLM models into production environments
• A passion for lean, clean, and maintainable code
• The desire to grow and to share insights with others

Helpful Knowledge

• Deep learning frameworks and transformer-based architectures
• LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)
• Data pipelining and ML/LLM infrastructure best practices
• DevOps experience, CI/CD, Kubernetes, and serverless architectures
• Experience with vector databases e.g (Pinecode, redis, and ElasticSearch) for LLM applications

About Team Modulai

At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well for large enterprises transforming ways of working.

Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it!

Apply here: https://modulai.teamtailor.com/

Modulai works with fish, trains, clothes, money, pets, office spaces, sound sensors and much more. If there is data, we do ML (Machine Learning) on it.

Our team consists of devoted ML engineers with strong track records from some of Sweden’s most successful startups. We work on project basis and take end-to-end responsibility. We love ML and we think that the best way for us to expand our knowledge is to be exposed to a diversified set of challenging and fun projects.

MACHINE LEARNING ENGINEER

As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. The projects could be external as well as internal – and in all cases – delivery is central.

You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data and then re-formulating it as a ML problem. It requires openness, creativity and an eagerness to learn new methodology and exploring new terrains.

We frequently attack these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us.

Our Stack

• Python / R – standard open-source libraries
• Scikit-learn and various specialized Python and R ML libraries
• Large Language Model (LLM) frameworks such as LangChain/LlamaIndex, LangGraph, CrewAI
• Cloud platforms such as AWS, GCP, and Azure
• CI/CD: DVC, Github Actions, Sagemaker/VertexAI/AzureML,
• Relational database management systems
• MLOps and LLMOps tools for model deployment and monitoring.
• Software engineering best practices, including testing, version control (Git), and containerization (Docker, Kubernetes)
• Orchestration: Airflow, AWS Step functions, etc Engineering/LLM/deployment: Kubernetes, docker, terraform

Responsibilities

• Analyzing and planning problems, solutions, and delivery with stakeholder managment, and communication with client
• Preprocessing, feature engineering, and dataset creation
• ML and LLM model development, fine-tuning, and evaluation
• Validation of results and model interpretability
• Building and optimizing data pipelines and ML/LLM infrastructure
• Developing APIs and integrating ML models into production systems
• Ensuring scalability, monitoring, and performance optimization of deployed models

Background & Skills

• MSc or Ph.D. in a quantitative field
• Excellent understanding of a broad set of ML and deep learning algorithms, including LLMs
• Strong software development skills in Python and experience with software engineering best practices
• Experience deploying ML and LLM models into production environments
• A passion for lean, clean, and maintainable code
• The desire to grow and to share insights with others

Helpful Knowledge

• Deep learning frameworks and transformer-based architectures
• LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)
• Data pipelining and ML/LLM infrastructure best practices
• DevOps experience, CI/CD, Kubernetes, and serverless architectures
• Experience with vector databases e.g (Pinecode, redis, and ElasticSearch) for LLM applications

About Team Modulai

At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well for large enterprises transforming ways of working.

Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it!

Apply here: https://modulai.teamtailor.com/

Modulai works with fish, trains, clothes, money, pets, office spaces, sound sensors and much more. If there is data, we do ML (Machine Learning) on it.

Our team consists of devoted ML engineers with strong track records from some of Sweden’s most successful startups. We work on project basis and take end-to-end responsibility. We love ML and we think that the best way for us to expand our knowledge is to be exposed to a diversified set of challenging and fun projects.

MACHINE LEARNING ENGINEER

As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. The projects could be external as well as internal – and in all cases – delivery is central.

You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data and then re-formulating it as a ML problem. It requires openness, creativity and an eagerness to learn new methodology and exploring new terrains.

We frequently attack these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us.

Our Stack

• Python / R – standard open-source libraries
• Scikit-learn and various specialized Python and R ML libraries
• Large Language Model (LLM) frameworks such as LangChain/LlamaIndex, LangGraph, CrewAI
• Cloud platforms such as AWS, GCP, and Azure
• CI/CD: DVC, Github Actions, Sagemaker/VertexAI/AzureML,
• Relational database management systems
• MLOps and LLMOps tools for model deployment and monitoring.
• Software engineering best practices, including testing, version control (Git), and containerization (Docker, Kubernetes)
• Orchestration: Airflow, AWS Step functions, etc Engineering/LLM/deployment: Kubernetes, docker, terraform

Responsibilities

• Analyzing and planning problems, solutions, and delivery with stakeholder managment, and communication with client
• Preprocessing, feature engineering, and dataset creation
• ML and LLM model development, fine-tuning, and evaluation
• Validation of results and model interpretability
• Building and optimizing data pipelines and ML/LLM infrastructure
• Developing APIs and integrating ML models into production systems
• Ensuring scalability, monitoring, and performance optimization of deployed models

Background & Skills

• MSc or Ph.D. in a quantitative field
• Excellent understanding of a broad set of ML and deep learning algorithms, including LLMs
• Strong software development skills in Python and experience with software engineering best practices
• Experience deploying ML and LLM models into production environments
• A passion for lean, clean, and maintainable code
• The desire to grow and to share insights with others

Helpful Knowledge

• Deep learning frameworks and transformer-based architectures
• LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)
• Data pipelining and ML/LLM infrastructure best practices
• DevOps experience, CI/CD, Kubernetes, and serverless architectures
• Experience with vector databases e.g (Pinecode, redis, and ElasticSearch) for LLM applications

About Team Modulai

At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well for large enterprises transforming ways of working.

Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it!

Apply here: https://modulai.teamtailor.com/

Ready to take ownership of real hardware systems and see your designs come to life? We’re looking for a hands-on System Engineer who thrives in bridging design, testing, and integration.

About the role

In this role, you will work broadly with system engineering focused on hardware and electronics, playing a key part in designing and developing low-voltage cabinets used across our drivetrain and overall solutions. You will be responsible for everything from requirements gathering and system design to component selection, integration, and testing.

A significant part of the role is hands-on, including building and preparing test setups for EMC testing and monitoring systems. You will create electrical schematics and circuit diagrams, validate functionality through testing, and ensure proper documentation of requirements, acceptance criteria, and test results. The role also involves supporting certification processes and collaborating closely with project managers and other teams, particularly around cable interfaces.

You will have a high level of ownership and responsibility, with the freedom to plan your work independently. Clear communication and reliability in delivering tasks are key to succeeding in this position.

We believe you have experience with:

• System engineering within hardware and/or electronics

• Designing electrical systems and selecting suitable components

• Creating electrical schematics and circuit diagrams

• Hands-on work such as building and testing setups (e.g. EMC testing)

• Requirements analysis and system design

• Testing, validation, and documentation of results

• Working with low-voltage systems, cabinets, or similar hardware environments

• Collaborating cross-functionally and managing interfaces between teams

• Taking ownership of your work and communicating progress clearly

About Astek:

Astek has always been driven by a strong sense of curiosity and a desire to explore the possibilities of technology. This mindset forms the foundation of everything we do – from our work with innovation and continuous development to the long-term client relationships we build and the value we deliver in every assignment. With us, you will have the opportunity to grow and develop alongside some of the industry’s most experienced engineers and technical specialists.

We are a company where innovation, collaboration, and development are at the core. At Astek, you will have the opportunity to work on exciting and challenging projects in an environment where your expertise and ideas are truly valued. We offer:

• An inspiring workplace where technology and creativity come together

• Opportunities to collaborate with leading players within the industry

• Continuous competence development and clear career opportunities

• A strong company culture where we enjoy working together and support one another

• Competitive benefits, including a wellness allowance of SEK 5,000

Other information:

As part of our recruitment process, identity verification and background checks may occasionally be conducted. Valid work permit for Sweden is required.

We recruit on an ongoing basis, so do not hesitate to submit your application

Talent Acqusition

Jannica Niklasson Roos

Ready to take ownership of real hardware systems and see your designs come to life? We’re looking for a hands-on System Engineer who thrives in bridging design, testing, and integration.

About the role

In this role, you will work broadly with system engineering focused on hardware and electronics, playing a key part in designing and developing low-voltage cabinets used across our drivetrain and overall solutions. You will be responsible for everything from requirements gathering and system design to component selection, integration, and testing.

A significant part of the role is hands-on, including building and preparing test setups for EMC testing and monitoring systems. You will create electrical schematics and circuit diagrams, validate functionality through testing, and ensure proper documentation of requirements, acceptance criteria, and test results. The role also involves supporting certification processes and collaborating closely with project managers and other teams, particularly around cable interfaces.

You will have a high level of ownership and responsibility, with the freedom to plan your work independently. Clear communication and reliability in delivering tasks are key to succeeding in this position.

We believe you have experience with:

• System engineering within hardware and/or electronics

• Designing electrical systems and selecting suitable components

• Creating electrical schematics and circuit diagrams

• Hands-on work such as building and testing setups (e.g. EMC testing)

• Requirements analysis and system design

• Testing, validation, and documentation of results

• Working with low-voltage systems, cabinets, or similar hardware environments

• Collaborating cross-functionally and managing interfaces between teams

• Taking ownership of your work and communicating progress clearly

About Astek:

Astek has always been driven by a strong sense of curiosity and a desire to explore the possibilities of technology. This mindset forms the foundation of everything we do – from our work with innovation and continuous development to the long-term client relationships we build and the value we deliver in every assignment. With us, you will have the opportunity to grow and develop alongside some of the industry’s most experienced engineers and technical specialists.

We are a company where innovation, collaboration, and development are at the core. At Astek, you will have the opportunity to work on exciting and challenging projects in an environment where your expertise and ideas are truly valued. We offer:

• An inspiring workplace where technology and creativity come together

• Opportunities to collaborate with leading players within the industry

• Continuous competence development and clear career opportunities

• A strong company culture where we enjoy working together and support one another

• Competitive benefits, including a wellness allowance of SEK 5,000

Other information:

As part of our recruitment process, identity verification and background checks may occasionally be conducted. Valid work permit for Sweden is required.

We recruit on an ongoing basis, so do not hesitate to submit your application

Talent Acqusition

Jannica Niklasson Roos

Ready to take ownership of real hardware systems and see your designs come to life? We’re looking for a hands-on System Engineer who thrives in bridging design, testing, and integration.

About the role

In this role, you will work broadly with system engineering focused on hardware and electronics, playing a key part in designing and developing low-voltage cabinets used across our drivetrain and overall solutions. You will be responsible for everything from requirements gathering and system design to component selection, integration, and testing.

A significant part of the role is hands-on, including building and preparing test setups for EMC testing and monitoring systems. You will create electrical schematics and circuit diagrams, validate functionality through testing, and ensure proper documentation of requirements, acceptance criteria, and test results. The role also involves supporting certification processes and collaborating closely with project managers and other teams, particularly around cable interfaces.

You will have a high level of ownership and responsibility, with the freedom to plan your work independently. Clear communication and reliability in delivering tasks are key to succeeding in this position.

We believe you have experience with:

• System engineering within hardware and/or electronics

• Designing electrical systems and selecting suitable components

• Creating electrical schematics and circuit diagrams

• Hands-on work such as building and testing setups (e.g. EMC testing)

• Requirements analysis and system design

• Testing, validation, and documentation of results

• Working with low-voltage systems, cabinets, or similar hardware environments

• Collaborating cross-functionally and managing interfaces between teams

• Taking ownership of your work and communicating progress clearly

About Astek:

Astek has always been driven by a strong sense of curiosity and a desire to explore the possibilities of technology. This mindset forms the foundation of everything we do – from our work with innovation and continuous development to the long-term client relationships we build and the value we deliver in every assignment. With us, you will have the opportunity to grow and develop alongside some of the industry’s most experienced engineers and technical specialists.

We are a company where innovation, collaboration, and development are at the core. At Astek, you will have the opportunity to work on exciting and challenging projects in an environment where your expertise and ideas are truly valued. We offer:

• An inspiring workplace where technology and creativity come together

• Opportunities to collaborate with leading players within the industry

• Continuous competence development and clear career opportunities

• A strong company culture where we enjoy working together and support one another

• Competitive benefits, including a wellness allowance of SEK 5,000

Other information:

As part of our recruitment process, identity verification and background checks may occasionally be conducted. Valid work permit for Sweden is required.

We recruit on an ongoing basis, so do not hesitate to submit your application

Talent Acqusition

Jannica Niklasson Roos

Ready to take ownership of real hardware systems and see your designs come to life? We’re looking for a hands-on System Engineer who thrives in bridging design, testing, and integration.

About the role

In this role, you will work broadly with system engineering focused on hardware and electronics, playing a key part in designing and developing low-voltage cabinets used across our drivetrain and overall solutions. You will be responsible for everything from requirements gathering and system design to component selection, integration, and testing.

A significant part of the role is hands-on, including building and preparing test setups for EMC testing and monitoring systems. You will create electrical schematics and circuit diagrams, validate functionality through testing, and ensure proper documentation of requirements, acceptance criteria, and test results. The role also involves supporting certification processes and collaborating closely with project managers and other teams, particularly around cable interfaces.

You will have a high level of ownership and responsibility, with the freedom to plan your work independently. Clear communication and reliability in delivering tasks are key to succeeding in this position.

We believe you have experience with:

• System engineering within hardware and/or electronics

• Designing electrical systems and selecting suitable components

• Creating electrical schematics and circuit diagrams

• Hands-on work such as building and testing setups (e.g. EMC testing)

• Requirements analysis and system design

• Testing, validation, and documentation of results

• Working with low-voltage systems, cabinets, or similar hardware environments

• Collaborating cross-functionally and managing interfaces between teams

• Taking ownership of your work and communicating progress clearly

About Astek:

Astek has always been driven by a strong sense of curiosity and a desire to explore the possibilities of technology. This mindset forms the foundation of everything we do – from our work with innovation and continuous development to the long-term client relationships we build and the value we deliver in every assignment. With us, you will have the opportunity to grow and develop alongside some of the industry’s most experienced engineers and technical specialists.

We are a company where innovation, collaboration, and development are at the core. At Astek, you will have the opportunity to work on exciting and challenging projects in an environment where your expertise and ideas are truly valued. We offer:

• An inspiring workplace where technology and creativity come together

• Opportunities to collaborate with leading players within the industry

• Continuous competence development and clear career opportunities

• A strong company culture where we enjoy working together and support one another

• Competitive benefits, including a wellness allowance of SEK 5,000

Other information:

As part of our recruitment process, identity verification and background checks may occasionally be conducted. Valid work permit for Sweden is required.

We recruit on an ongoing basis, so do not hesitate to submit your application

Talent Acqusition

Jannica Niklasson Roos

Ready to take ownership of real hardware systems and see your designs come to life? We’re looking for a hands-on System Engineer who thrives in bridging design, testing, and integration.

About the role

In this role, you will work broadly with system engineering focused on hardware and electronics, playing a key part in designing and developing low-voltage cabinets used across our drivetrain and overall solutions. You will be responsible for everything from requirements gathering and system design to component selection, integration, and testing.

A significant part of the role is hands-on, including building and preparing test setups for EMC testing and monitoring systems. You will create electrical schematics and circuit diagrams, validate functionality through testing, and ensure proper documentation of requirements, acceptance criteria, and test results. The role also involves supporting certification processes and collaborating closely with project managers and other teams, particularly around cable interfaces.

You will have a high level of ownership and responsibility, with the freedom to plan your work independently. Clear communication and reliability in delivering tasks are key to succeeding in this position.

We believe you have experience with:

• System engineering within hardware and/or electronics

• Designing electrical systems and selecting suitable components

• Creating electrical schematics and circuit diagrams

• Hands-on work such as building and testing setups (e.g. EMC testing)

• Requirements analysis and system design

• Testing, validation, and documentation of results

• Working with low-voltage systems, cabinets, or similar hardware environments

• Collaborating cross-functionally and managing interfaces between teams

• Taking ownership of your work and communicating progress clearly

About Astek:

Astek has always been driven by a strong sense of curiosity and a desire to explore the possibilities of technology. This mindset forms the foundation of everything we do – from our work with innovation and continuous development to the long-term client relationships we build and the value we deliver in every assignment. With us, you will have the opportunity to grow and develop alongside some of the industry’s most experienced engineers and technical specialists.

We are a company where innovation, collaboration, and development are at the core. At Astek, you will have the opportunity to work on exciting and challenging projects in an environment where your expertise and ideas are truly valued. We offer:

• An inspiring workplace where technology and creativity come together

• Opportunities to collaborate with leading players within the industry

• Continuous competence development and clear career opportunities

• A strong company culture where we enjoy working together and support one another

• Competitive benefits, including a wellness allowance of SEK 5,000

Other information:

As part of our recruitment process, identity verification and background checks may occasionally be conducted. Valid work permit for Sweden is required.

We recruit on an ongoing basis, so do not hesitate to submit your application

Talent Acqusition

Jannica Niklasson Roos