General Motors is seeking a highly skilled and experienced professional to join our team as a Staff Software Engineer, Vehicle Software Systems. As a global leader in the automotive industry, General Motors is committed to delivering high-quality vehicles that exceed customer expectations. Our team delivers software solutions built with new technology with highly complex features, and bring significant enhancements to current, and new generations vehicle programs. This role is responsible to design, develop, and maintain software systems for SDV solutions, including drivers, operating systems, application and services software stack.
Specific job responsibilities include:
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Design, develop, and debug complex in-vehicle software for current and future vehicle architectures in an agile environment, providing technical leadership to execution teams for development of resilient, high-performance solutions at scale.
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Facilitate cross function collaboration with design, product, program, safety, systems and other groups within and outside the company to implement/sustain in-vehicle software features.
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Collaborate with colleagues across multiple teams to drive in-vehicle software development strategies.
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Act as liaison, helping align goals, technical standards, architecture decisions, and roadmaps across teams, reducing conflicts, creating unified technical strategy, share knowledge, and improve communication between teams, preventing misunderstandings, reducing duplicate work, and streamlining project timelines to ensure a cohesive product.
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Spearhead innovation projects, from exploring new technologies to optimizing development processes, enable faster identification of opportunities and inefficiencies, leading to cost savings and better product performance. Handle high-pressure situations, such as system outages or high-priority projects, and implement effective solutions faster.
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Drive a culture of continuous learning across engineering teams, mentor, coach and develop engineers, share technical insights, and promote common diagnostic approaches within Engineering Standard Work.
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Lead efficient and timely discussions of issues, by bringing several cross disciplinary teams together to analyze test data, review code, and create stories to address issues proactively.
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Exhibit proactive learning and knowledge sharing with team members on new and advanced topics crucial in creating robust technical specifications and requirements while contemplating scenarios and corner cases.
