Company

Technology

SeniorSoftwareProgramManager

₹25–45L ~AI est. India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Program Manager. Skills: Program management, Automotive software, Autonomous driving, AI/ML concepts. Lead end-to-end delivery. Manage lifecycle of automotive software programs”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis; Prioritization

What They're Looking For.

Must Have

6+ years automotive software development, 6+ years program management, Understanding autonomous driving architectures, Understanding sensor systems, Understanding embedded software, Understanding vehicle communication protocols, Experience with C/C++, Experience with Python, Experience with Linux, Experience with QNX, Understanding CI/CD pipelines, Understanding build systems, Understanding repositories, Understanding containerized development workflows, Proven experience managing automotive programs, Program management skills, Planning skills, Risk management skills, Agile methodologies skills, Stakeholder coordination skills, Excellent communication abilities, Excellent organizational abilities, Excellent prioritization abilities

Nice to Have

Master's in Computer Science, Master's in Engineering, PhD in Computer Science, PhD in Engineering, Familiarity with AI concepts, Familiarity with machine learning, Familiarity with deep learning, Familiarity with transformers, Familiarity with GPU/CPU architectures, Exposure to ISO 26262, Exposure to Automotive SPICE

What You'll Do.

Lead end-to-end delivery

Manage lifecycle of automotive software programs

Track technical issues

Manage technical issues

Prioritize technical issues

Prioritize field returns

Track engineering escalations

Manage engineering escalations

Prioritize engineering escalations

Coordinate root cause analysis

Ensure timely resolution of software issues

Oversee planning of bug fixes

Track planning of bug fixes

Oversee tracking of bug fixes

Oversee release management of bug fixes

Plan feature enhancements

Track feature enhancements

Manage feature enhancements

Oversee safety updates

Manage safety updates

Oversee security patches

Manage security patches

Ensure compliance with safety certification

Deliver technical documentation

Define long-term roadmaps

Maintain long-term roadmaps

Coordinate cross-functional execution

Act as escalation point

Provide clear communication

Provide regular updates

Support customer onboarding

Support planning for new software releases

How You'll Work.

Team & Collaboration

Global teams; Engineering teams; Product management teams; Cross-functional execution

Communication Scope

Clear communication; Regular updates

Process & Methodology

Planning, Risk management, Agile methodologies, Stakeholder coordination, Release management, Roadmap planning

Full Job Description

## Accountabilities Lead end-to-end delivery and lifecycle management of automotive software programs, including DRIVE OS, AVOS, and NDAS in long-term support and production phases. Track, manage, and prioritize technical issues (bugs), field returns, and engineering escalations across multiple customer programs. Coordinate root cause analysis efforts and ensure timely resolution of critical software issues in collaboration with engineering teams. Oversee planning, tracking, and release management of bug fixes, feature enhancements, safety updates, and security patches. Ensure compliance with safety certification requirements and delivery of all associated technical documentation. Define and maintain long-term (12+ month) release and feature roadmaps in alignment with product management teams. Coordinate cross-functional execution across global teams in India, Europe, the United States, and South Korea. Act as the primary escalation point for customer programs, providing clear communication and regular updates to senior leadership. Support customer onboarding and planning for new software releases in production environments. Requirements: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related technical field from a recognized institution. 6+ years of experience in automotive software development or program management, ideally within ADAS or autonomous vehicle systems. Strong understanding of autonomous driving architectures, sensor systems, embedded software, and vehicle communication protocols. Familiarity with AI concepts such as machine learning, deep learning, transformers, or GPU/CPU architectures. Experience with software development environments including C/C++, Python, Linux, and/or QNX. Understanding of CI/CD pipelines, build systems, repositories, and containerized development workflows. Proven experience managing complex automotive programs through production release. Strong program management skills including planning, risk managemen

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