Distinguished Engineer - Machine Learning (VP level)

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Requirements:

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields.
• 10+ years of post-PhD experience in AI/ML research and development, with a track record of leading large-scale projects and driving impactful innovations outside of academia.
• Deep expertise in AI/ML frameworks, deep learning algorithms, and hardware-optimized machine learning.
• Strong background in neuromorphic computing, hardware-efficient AI, or computational neuroscience is a plus.
• Experience managing and mentoring senior engineers, influencing company-wide technical direction, and driving engineering excellence.
• Exceptional communication skills with the ability to influence executives, engineers, and external stakeholders.
• A robust and continuous (incl. last 2 years) history of contributions to academic research, open-source projects, or industry consortiums is highly desirable.

Responsibilities:

• Own and deliver company-wide AI and ML initiatives with multi-year, multi-team impact, ensuring scalability and adaptability beyond current business needs.
• Provide thought leadership and influence Axelera AI’s strategic direction by engaging with senior leadership, external partners, and industry consortiums.
• Lead the research and development of next-generation AI and ML models, driving significant breakthroughs in efficiency, performance, and innovation.
• Spearhead engineering best practices, setting a high standard for system architecture, code quality, and team processes.
• Actively contribute to hiring, mentoring, and coaching senior engineers, fostering a high-performance culture that attracts top talent.
• Publish research findings, contribute to industry discussions, and represent Axelera AI at conferences and external engagements.
• Bridge the gap between technical capabilities and business needs by collaborating with product and business teams to define roadmaps and strategic opportunities.
• Lead large-scale, high-impact projects with exceptional execution, managing ambiguity, tight deadlines, and evolving requirements.
• Drive continuous improvement by leveraging industry best practices, customer insights, and cutting-edge research to enhance Axelera AI's AI/ML solutions.
• Foster a strong engineering community within Axelera AI by championing hybrid/remote-first collaboration practices, inclusion, and diversity initiatives.
• Partner with executive leadership to define a long-term vision for AI and ML at Axelera AI, ensuring alignment with both market demands and technical advancements.
• Develop scalable solutions and frameworks that empower multiple teams, enabling efficient ML deployment across Axelera AI’s product ecosystem.
• Take ownership of technical decision-making, ensuring optimal solutions for the broader organization while driving innovation and calculated risk-taking.
• Model a standard of excellence, accountability, and leadership that inspires teams and influences company-wide culture and strategy.