Senior Software Engineering Manager, Geo Software Development Acceleration Team

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short‑Term Disability + Baby Bonding): 28‑30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Minimum qualifications

• Bachelor's degree or equivalent practical experience
• 8 years of experience in software development
• 7 years of experience building and developing large‑scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture
• 5 years of experience in a people management or team leadership role
• Experience with Machine Learning (ML), Generative AI, Reinforcement Learning, or Large Language Models (LLMs)

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field
• Experience in the automotive sector building infrastructure, developer tools, or platforms for OEMs, ADAS, or autonomous driving ecosystems
• Experience applying AI and machine learning to solve software development challenges (e.g., AI‑powered testing, debugging, validation, or developer tooling)
• Experience with simulation environments, A/B testing frameworks, or infrastructure for large‑scale data processing
• Experience working in a complex, matrixed organization and collaborating with partner teams to co‑develop solutions

About the role

Software Engineering Managers at Google provide technical leadership on major projects while managing a team of engineers. They set project goals, contribute to product strategy, and develop their team. The role spans areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large‑scale system design, networking, security, data compression, and user interface design. Managers guide engineers across multiple teams and locations, oversee large product budgets, and drive deployment of large‑scale projects internationally. In this position, you will define the strategic technical outlook for infrastructure, tools, and platforms serving the global automotive industry and OEM partners, ensuring safety, freshness, and accuracy for ADAS and autonomous driving features.

Responsibilities

• Lead, manage, and scale a global engineering organization of approximately 15 software engineers, serving as a technical leader who manages overall team strategy and execution.
• Refine and elevate engineering infrastructure for OEMs and the broader auto industry, ensuring tools and platforms meet rigorous safety, freshness, and accuracy standards for ADAS and Autonomous Driving features.
• Drive the team's technical strategy for enhancing developer velocity across Geo Auto, overseeing critical validation pillars such as Drive Simulation for drive‑focused capabilities.
• Advocate the integration and development of Generative AI and Large Language Models into developer workflows to advance testing, automation, and debugging for complex auto ecosystems.
• Partner with Geo Auto product leaders, GSDA global leadership, and external OEM partners to co‑develop solutions, align multi‑ecosystem initiatives, and advocate for technical capabilities.

Pay

US: $262,000 – $364,000 (USD) plus a 25% bonus target, equity, and benefits.