1,314 Results for

Program Manager Jobs in Merced, CA

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

If you're passionate about autonomous vehicles, we would love to hear from you!

NVIDIA logo

Us, California30+ days ago

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Familiarity with data ecosystems (ex: ETL/ELT pipelines, data lakes/warehouses, etc) and technologies like Spark, Kafka, Airflow, Snowflake, or similar ecosystems.

  • Familiarity with FinOps principles and cloud cost optimization strategies, including resource tagging, rightsizing, and cost allocation frameworks to drive infrastructure efficiency at scale.

  • NVIDIA logo

    Us, California30+ days ago

    The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

    You will also be eligible for equity and benefits.

    • Collaborate across product and engineering teams, spanning the entire stack, to ensure release readiness and successful delivery of enterprise software while being viewed as a leader across all Business Units.

    NVIDIA logo

    Us, California30+ days ago

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    We are looking for a technically adept and motivated Principal Carline Program Manager to coordinate the complete implementation of self-driving features for one of our vehicle models.

    You will also be eligible for equity and benefits.

    Stanislaus, CA30+ days ago
    Remote
    • $80,000–$90,000

    As an ECM Program Manager, you’ll lead our Enhanced Care Management program, making sure vulnerable populations get the care, support, and advocacy they need to live healthier, more stable lives. You’ll guide regional teams to deliver compassionate, person-centered care that improves outcomes and supports our mission to close health equity gaps across California.

    NVIDIA logo

    Us, California9 days ago

    The base salary range is 200,000 USD - 322,000 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.

    You will also be eligible for equity and benefits.

    • Work closely with software and firmware development managers, engineers, and other logistical personnel to understand, define and implement processes to support as well as NVIDIA GPUs HPC and AI platforms to cloud service provider customers and OEMs.

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