Technical Program Manager, Post-Training (Hardware/ML)

Google LLC; Mountain View (CA); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Equity

Benefits

Bonus target

Job summary

Google LLC is seeking a Technical Program Manager to lead complex, multi-disciplinary engineering projects across post-training data, evaluation, and simulation environments within Gemini Post-Training (Physical Engineering).

You will work with researchers, engineers, and product managers to define scope, goals, and timelines, turning research priorities into concrete training data flywheels and milestone deliverables.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 8 years of experience in program management.

Responsibilities

• Organize and optimize post-training initiatives across hardware, physical systems, and infrastructure into clear goals, milestones, and release plans.
• Scope and execute domain-expert data acquisition, design ingestion pipelines, synthetic task generation, and RL environments.
• Partner with modeling leads to build customer-centric benchmarks and simulation/rule verifiers grading executability, physical well-formedness, and spec satisfaction.
• Manage project planning using lightweight methodologies to improve research velocity, release predictability, and align cross-functional dependencies.
• Evaluate technical trade-offs between geometric plausibility versus true functional engineering correctness, manufacturability constraints, and reward hacking risks.

Skills

Program management experience

Education

Bachelor's degree in technical field

Job description

Google LLC is seeking a Technical Program Manager to lead complex, multi-disciplinary engineering projects across post-training data, evaluation, and simulation environments within Gemini Post-Training (Physical Engineering).

You will work with researchers, engineers, and product managers to define scope, goals, and timelines, turning research priorities into concrete training data flywheels and milestone deliverables.