Job Title: Software Delivery Manager - Embedded / Model-Based Development (AI Focus) 

Role Summary:  

We are looking for an experienced and dynamic Software Delivery Manager to 

lead our embedded and model-based development teams, with a strategic focus on integrating Artificial Intelligence (AI) into our automotive software products and processes. You will be responsible for overseeing the end-to-end software delivery lifecycle, ensuring high-quality, safety-compliant, and timely delivery of complex embedded systems, including those powered by AI. This role requires a blend of technical acumen, strong leadership, and excellent project management skills. 

Key Responsibilities: 

• Lead and mentor embedded software development teams, fostering a culture of technical 

excellence and continuous improvement. 

• Define and optimize software development processes, ensuring adherence to industry 

best practices and standards (e.g., ISO26262). 

• Oversee the implementation of static code analysis, code validation, and verification 

strategies across projects. 

• Manage the integration of C, Embedded C, and C++ development efforts, ensuring robust 

and efficient codebases. 

• Drive the adoption and effective utilization of model-based development methodologies, 

including the integration of AI/ML models into the development workflow. 

• Strategize and manage the development and integration of AUTOSAR components and 

non-AUTOSAR/legacy software. 

• Establish and maintain effective CI/CD pipelines and release management processes to 

ensure efficient and predictable software deliveries. 

• Collaborate with cross-functional teams, stakeholders, and external partners to define 

requirements, manage dependencies, and ensure alignment. 

• Lead the strategic integration of AI into embedded software development, overseeing 

projects that involve AI/ML model development, deployment, and validation in 

automotive contexts. 

• Manage the delivery of AI-driven features, ensuring technical feasibility, resource 

allocation, and adherence to safety and quality standards. 

• Ensure compliance with ISO26262 for software quality, criticality, and tool qualification 

across all projects. 

• Report on project status, risks, and resource utilization to senior management. 

Mandatory Requirements: 

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related 

field. 

• Extensive experience (e.g., 7+ years) in embedded software development, with a 

significant portion in a leadership or management role. 

• Proven track record of successfully delivering complex embedded software projects in 

the automotive industry. 

• Strong understanding of C, Embedded C, and C++ programming principles and best practices. 

• In-depth knowledge and practical experience with ISO26262 for functional safety, 

including software qualification and tool qualification. 

• Experience with static code analysis tools (e.g., ASTREE, POLYSPACE, Coverity) and their 

integration into development workflows. 

• Familiarity with Python for automation and scripting. 

• Solid understanding of AUTOSAR architecture and its components, as well as experience 

managing projects involving non-AUTOSAR and legacy software. 

• Expertise in software development lifecycle, testing methodologies, CI/CD, and release 

management. 

• Demonstrated experience in managing projects involving AI/ML development and 

integration into embedded systems. 

• Strategic understanding of AI's role in automotive software, including challenges and 

opportunities in AI model delivery and deployment. 

• Experience leading teams of AI engineers and embedded developers. 

• Excellent leadership, communication, and interpersonal skills. 

Preferred Skills (Good to Have): 

• Experience with MATLAB/Simulink for model-based design. 

• PMP, Agile, or Scrum Master certification. 

• Experience with cloud-based AI/ML platforms and MLOps practices. 

• Deep understanding of automotive ECU architectures and vehicle networks. 

• A proactive and innovative approach to problem-solving and process improvement.