Thesis Worker - Towards Trustworthy Agentic Software Development for Automotive C++ Systems
Scania GroupRekommenderat
Sammanfattning
This thesis opportunity focuses on enhancing trust in software developed through AI workflows in the automotive sector. The student will engage in research and development activities, including literature reviews and prototype creation, to assess the trustworthiness of AI-generated software. The position is based in Södertälje, Sweden, and is suitable for M.Sc. students in relevant fields such as Computer Science or Software Engineering. This role offers a chance to build connections with TRATONJobbet i korthet
Arbetstid
deltid
Det här erbjuder vi
Opportunity to build relationships with TRATON/Scania.Gain practical experience in a cutting-edge field.Potential for future employment opportunities.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-11-04
Beskrivning
30 hp - Towards Trustworthy Agentic Software Development for Automotive C++ Systems
Introduction
Thesis work is an excellent way to get closer to TRATON/Scania and build relationships for the future. Many of today's employees began their career with their degree project.
Background
Recent advances in Agentic AI have enabled software development workflows where AI-based agents can decompose requirements, implement software, generate tests, perform reviews, and deliver complete code changes. While these capabilities demonstrate significant potential for improving engineering productivity, the automotive industry faces a fundamental challenge: how trust can be established in software produced by such systems. For safety-critical and quality-critical software, organizations must be able to assess whether generated software meets expectations regarding quality, maintainability, robustness, safety, security, traceability, and compliance with engineering standards and processes.
Objective
Investigate methods for assessing and increasing confidence in software developed through agentic AI workflows and develop or evaluate a methodology, framework, or prototype that contributes evidence towards assessing the trustworthiness of generated software in an automotive software context.
Job description
The student will conduct a literature review, analyze factors influencing trust in AI-generated software, investigate suitable assurance mechanisms, quality gates or confidence metrics, develop a prototype or proof-of-concept, and evaluate the approach using representative automotive software development tasks. The exact scope will be defined together with the supervisor and may focus on topics such as software quality, verification and validation, safety, cybersecurity, traceability, explainability, trust metrics, or assurance frameworks.
Education/program/focus
M.Sc. students in Computer Science, Software Engineering, Artificial Intelligence, Embedded Systems, Cybersecurity, Functional Safety, or related fields.
Number of students: 1-2
Start date for the thesis work: According to agreement
Estimated time required: 20 weeks (30 hp)
Contact persons and supervisors
Alexander Axelsson, Associate Senior Engineer, Traton
Alexander.x.axelsson@scania.com
Application:
Your application must include a CV, personal letter and transcript of grades.
A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified.
Requisition ID: 34831
Number of Openings: 2.0
Part-time / Full-time: Full-time
Permanent / Temporary: Temporary
Country / Region: SE
Location(s):
Södertälje, SE, 151 38
Required Travel: 0%
Workplace: Hybrid
Introduction
Thesis work is an excellent way to get closer to TRATON/Scania and build relationships for the future. Many of today's employees began their career with their degree project.
Background
Recent advances in Agentic AI have enabled software development workflows where AI-based agents can decompose requirements, implement software, generate tests, perform reviews, and deliver complete code changes. While these capabilities demonstrate significant potential for improving engineering productivity, the automotive industry faces a fundamental challenge: how trust can be established in software produced by such systems. For safety-critical and quality-critical software, organizations must be able to assess whether generated software meets expectations regarding quality, maintainability, robustness, safety, security, traceability, and compliance with engineering standards and processes.
Objective
Investigate methods for assessing and increasing confidence in software developed through agentic AI workflows and develop or evaluate a methodology, framework, or prototype that contributes evidence towards assessing the trustworthiness of generated software in an automotive software context.
Job description
The student will conduct a literature review, analyze factors influencing trust in AI-generated software, investigate suitable assurance mechanisms, quality gates or confidence metrics, develop a prototype or proof-of-concept, and evaluate the approach using representative automotive software development tasks. The exact scope will be defined together with the supervisor and may focus on topics such as software quality, verification and validation, safety, cybersecurity, traceability, explainability, trust metrics, or assurance frameworks.
Education/program/focus
M.Sc. students in Computer Science, Software Engineering, Artificial Intelligence, Embedded Systems, Cybersecurity, Functional Safety, or related fields.
Number of students: 1-2
Start date for the thesis work: According to agreement
Estimated time required: 20 weeks (30 hp)
Contact persons and supervisors
Alexander Axelsson, Associate Senior Engineer, Traton
Alexander.x.axelsson@scania.com
Application:
Your application must include a CV, personal letter and transcript of grades.
A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified.
Requisition ID: 34831
Number of Openings: 2.0
Part-time / Full-time: Full-time
Permanent / Temporary: Temporary
Country / Region: SE
Location(s):
Södertälje, SE, 151 38
Required Travel: 0%
Workplace: Hybrid
Ansök till tjänsten
Thesis Worker - Towards Trustworthy Agentic Software Development for Automotive C++ Systems
Rekommenderat
OM FÖRETAGET
Scania Group
