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.

Robust 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.

📌 Software Delivery Manager, Automotive Software Manager, (Bengaluru)
🏢 ISCISTECH BUSINESS SOLUTIONS
📍 Bengaluru