Embedded Software Architecture, SI ICE Control

Integro Consulting AB; Göteborgs kommun; On-site; SEK 1,100,000 - 1,600,000; Full time

Job summary

Integro Consulting in Sweden is seeking a Senior Expert in Embedded Software Architecture and Spark-Ignited Internal Combustion Engine (SI ICE) Control for a Volvo Trucks assignment. You will shape next-generation powertrain control, focusing on hydrogen engines and advanced AI-driven diagnostics.

You will lead model-based development, software integration, and automated workflows, contributing across disciplines to deliver robust, scalable systems and value-driven engineering leadership.

Qualifications

• Extensive experience in powertrain software and embedded systems.
• Strong background in model-based control for SI engines, including hydrogen.
• Experience with AUTOSAR Classic and automotive diagnostics.
• Proven ability to lead complex engineering projects in cross-functional teams.

Responsibilities

• Define scalable embedded software architectures for SI ICE with hydrogen.
• Develop ECU functions for air-path management and torque modelling.
• Translate requirements into verified control models and software.
• Lead design reviews and coordinate activities across disciplines.
• Improve automation of development, testing, and calibration workflows.
• Drive SIL/HIL testing, data analysis, and validation.
• Contribute to technical roadmaps and documentation.

Skills

Model-based control

Embedded software architecture

MATLAB/Simulink

Python

Technical leadership

English communication

Education

M.Sc./PhD in control engineering or related

Tools

ETAS INCA

ETAS ASCMO

TargetLink

C/C++

ATI Vision

AVL Concerto

Job description

Embedded Software Architecture, SI ICE Control – Expert

Integro Consulting | Automotive & Powertrain Development | Sweden

Help shape the future of sustainable powertrain technology

Integro Consulting is seeking a highly experienced Senior Expert in Embedded Software Architecture and Spark-Ignited Internal Combustion Engine (SI ICE) Control for a consulting assignment with our client, Volvo Trucks.

This is an opportunity to contribute to next-generation powertrain technologies, particularly hydrogen-powered combustion engines and alternative fuels for heavy-duty applications.

Combining expertise in embedded software, model-based control, and engine management with technical leadership, you will help develop advanced control systems, automate engineering workflows, and explore the potential of physics-inspired AI and machine learning.

About The Assignment

You will contribute to early-phase development and concept engineering within a multidisciplinary powertrain organisation. Your primary focus will be embedded software architecture and model-based control systems for spark-ignited engines, particularly hydrogen internal combustion engines (H2 ICE).

You will work across engineering disciplines to develop robust, scalable control solutions while improving software development, testing, verification, and calibration through automation. You will also investigate how physics-inspired AI/ML can enhance modelling, diagnostics, control strategies, and engineering optimisation.

Key responsibilities

• Embedded software architecture: Define scalable architectures and control concepts for SI ICE applications, particularly hydrogen engines.
• Engine control: Develop and integrate ECU functions for air-path management, torque modelling, combustion control, knock detection, and knock control.
• Model-based development: Translate system requirements into control models, software implementations, and verified solutions.
• Software integration: Integrate ECU functions with sensors, actuators, diagnostics, communication interfaces, and powertrain platforms.
• Automation: Improve software development, code generation, continuous integration, testing, and verification workflows.
• Calibration optimisation: Automate calibration processes, measurement-data analysis, test planning, and optimisation.
• Physics-inspired AI/ML: Explore physics-based and data-driven methods for modelling, control, diagnostics, and optimisation.
• Testing and verification: Support SIL/HIL testing, engine test-bench activities, calibration, and release-readiness assessments.
• Technical leadership: Lead design reviews, coordinate engineering activities, provide technical recommendations, and share knowledge.

Required Qualifications And Experience

We are looking for a senior technical expert who can take ownership of complex engineering challenges and deliver high-quality solutions.

You should have:

• An M.Sc., PhD, or equivalent expertise in control engineering, mechatronics, electronics, automation, applied physics, mechanical engineering, or a related field.
• Typically 12+ years of relevant experience in powertrain development, embedded systems, or automotive product development.
• Extensive experience in model-based control for spark-ignited combustion engines, including requirements, modelling, implementation, integration, verification, and calibration.
• Deep knowledge of ECU function development, air-path control, torque modelling, combustion control, and knock detection and control.
• Strong experience in embedded software architecture, AUTOSAR Classic, software integration, diagnostics, and automotive communication protocols.
• Knowledge of functional safety and cybersecurity, including ISO 26262 and SAE J21434.
• Experience with SIL/HIL testing, engine test benches, data analysis, and technical documentation.
• Practical experience in automated software development, code generation, scripting, continuous integration, and automated testing.
• Experience in ECU calibration and optimisation, including test planning and measurement-data processing.
• Advanced working knowledge of MATLAB/Simulink and Python.
• Experience with ATI Vision and/or AVL Concerto. Knowledge of ETAS INCA, ETAS ASCMO, TargetLink, and C/C++ is also relevant.
• Strong technical leadership, analytical skills, and the ability to communicate complex topics clearly in English.

You are proactive, structured, and results-oriented, with the ability to challenge established approaches constructively and collaborate across engineering disciplines.

Meritorious experience

• Development or calibration of hydrogen, natural gas, or other alternative-fuel SI engines, especially for heavy-duty applications.
• Experience with physics-inspired AI/ML, physics-informed learning, hybrid modelling, virtual sensing, anomaly detection, or data-driven control.
• Applying AI/ML to improve engineering workflows, software development, testing, or calibration.
• Knowledge of software-defined vehicle architectures, AUTOSAR Adaptive, or RTOS-based solutions.
• Experience in heavy-duty powertrain development, calibration, verification tools, or engineering methods.
• Contributions to technical roadmaps, patents, scientific publications, or engineering competence development.