Master Thesis: Optimizing AI generated code's energy efficiency
Ericsson ABNy
Sammanfattning
This opportunity involves a thesis project focused on integrating GenAI-based coding assistants with energy analysis tools to enhance software development efficiency and sustainability. The role is based in Stockholm, Sweden, and aims to produce a prototype for an energy-aware software-development workflow, including methodologies and techniques for optimizing energy consumption in applications.Det här erbjuder vi
Opportunity to work on innovative solutions to complex problems.Collaborative environment with diverse team members.Encouragement of a diverse and inclusive workplace.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-10-02
Beskrivning
Join our Team
About this opportunity:
GenAI-based coding assistants and autonomous coding agents, such as Codex- and Claude Code-like systems, are increasingly used for code generation, completion, refactoring, testing, debugging, and optimization. While these tools can improve software-development productivity, the energy efficiency of the software they create is becoming increasingly important for sustainable production systems.
What you will do:
This thesis will investigate how coding agents can be integrated with energy analysis, profiling, etc. tools in its pipeline, including design, implementing, and evaluation. The expected result is a prototype and experimental evaluation of an energy-aware GenAI-assisted software-development workflow. The outcome may include:
The skills you bring:
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 791023
About this opportunity:
GenAI-based coding assistants and autonomous coding agents, such as Codex- and Claude Code-like systems, are increasingly used for code generation, completion, refactoring, testing, debugging, and optimization. While these tools can improve software-development productivity, the energy efficiency of the software they create is becoming increasingly important for sustainable production systems.
What you will do:
This thesis will investigate how coding agents can be integrated with energy analysis, profiling, etc. tools in its pipeline, including design, implementing, and evaluation. The expected result is a prototype and experimental evaluation of an energy-aware GenAI-assisted software-development workflow. The outcome may include:
- a methodology for evaluating the greenness of GenAI-generated applications;
- an architecture for integrating energy feedback with coding agents;
- techniques for whole-application optimization;
- a benchmark and experimental results; and
- recommendations for energy-aware agentic software development.
The skills you bring:
- background in computer science, software engineering, or a related field.
- Good programming skills in Python or another modern programming language.
- Familiarity with Linux-based development environments and command-line tools.
- Interest and experience in generative AI, large language models, and AI-assisted software development.
- Ability to conduct technical literature reviews, design experiments, analyze results, and document findings.
- Strong analytical and problem-solving skills.
- Ability to work independently while communicating effectively in an international working environment.
- Good written and spoken English.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 791023
Ansök till tjänsten
Master Thesis: Optimizing AI generated code's energy efficiency
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Ericsson AB
