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Manager Nvidia Autonomous Driving Jobs in San Ramon, CA

Stay updated on the latest advancements in autonomous driving, LiDAR technologies, and edge AI ... Hands-on experience with NVIDIA Jetson or other edge AI hardware platforms preferred. What core ...

Software Engineer

Sunnyvale, CA · On-site

$100K - $200K/yr

Stay updated on the latest advancements in autonomous driving, LiDAR technologies, and edge AI ... Hands-on experience with NVIDIA Jetson or other edge AI hardware platforms preferred. What core ...

Software Engineer

Sunnyvale, CA · On-site

$100K - $200K/yr

Stay updated on the latest advancements in autonomous driving, LiDAR technologies, and edge AI ... Hands-on experience with NVIDIA Jetson or other edge AI hardware platforms preferred. What core ...

Be Seen First

... autonomous driving applications * Hands-on experience with 2D and 3D annotation tools and platforms * Strong understanding of data management principles and basic data analysis concepts

We are looking for a Staff Engineer who knows how to bring world-class system design to autonomous driving systems in structured, low-speed environments. In this role, you'll lead, manage and scale ...

We are looking for a Staff Engineer who knows how to bring world-class system design to autonomous driving systems in structured, low-speed environments. In this role, you'll lead, manage and scale ...

Hardware Engineer

Sunnyvale, CA · Hybrid

$185K - $247K/yr

Design and develop embedded electronics systems for autonomous driving applications * Architect and ... Familiarity with NVIDIA and Qualcomm SoC applications * Experience working with contract ...

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Manager Nvidia Autonomous Driving information

What is the difference between Manager Nvidia Autonomous Driving vs Software Engineer Nvidia Autonomous Driving?

AspectManager Nvidia Autonomous DrivingSoftware Engineer Nvidia Autonomous Driving
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Computer Science or related field
Work EnvironmentTeam leadership, project management, cross-functional collaborationSoftware development, coding, testing, debugging
Employer & Industry UsageAutomotive tech companies, Nvidia, autonomous vehicle industryTech companies, Nvidia, autonomous vehicle projects

The main difference is that the Manager Nvidia Autonomous Driving oversees teams and projects related to autonomous vehicle technology, focusing on leadership and coordination. In contrast, the Software Engineer Nvidia Autonomous Driving is primarily involved in coding and developing the software components. Both roles require technical expertise, but the manager role emphasizes project management and team oversight.

Who is the director of NVIDIA autonomous driving?

The director of NVIDIA autonomous driving is a senior executive responsible for overseeing the development and deployment of autonomous vehicle technologies. This role typically involves leading engineering teams, coordinating research efforts, and ensuring the integration of AI and sensor systems within NVIDIA's autonomous driving platform.

Is it difficult to get hired at NVIDIA?

Getting hired as a Manager in Nvidia Autonomous Driving can be competitive due to the company's high standards for technical expertise, leadership skills, and relevant experience in autonomous systems and AI. Candidates typically need a strong background in engineering, computer science, or related fields, along with proven project management abilities. The hiring process often involves multiple interviews and assessments to evaluate technical knowledge and cultural fit.

How much do NVIDIA managers make?

NVIDIA managers typically earn between $120,000 and $200,000 annually, depending on experience, location, and specific managerial level. Compensation may also include bonuses, stock options, and other benefits, especially for senior roles overseeing autonomous driving projects or teams with specialized skills in AI and automotive technology.

How much do NVIDIA autonomous vehicle operators make?

NVIDIA autonomous vehicle operators typically earn between $50,000 and $80,000 annually, depending on experience, location, and specific responsibilities. The role often requires familiarity with autonomous driving systems, safety protocols, and operating testing vehicles in controlled environments.
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Autonomous Driving Systems Project Manager

Deeproute.ai

Fremont, CA

$130K/yr

Other

Posted yesterday


Job description

    Lead end-to-end project management for the development of autonomous vehicle planning modules, working closely with cross-functional teams, and testing to ensure timely and quality-driven execution of project deliverables.

    Define and oversee the technical roadmap and execution plans for key planning functionalities, including rare-scenario handling, constraint-aware motion planning, and overall system robustness, leveraging deep technical understanding of autonomous driving software systems.

    Manage the full project lifecycle, including requirements definition, milestone planning, resource coordination, risk identification and mitigation, technical documentation, and regular status reporting to stakeholders and senior leadership.

    Contribute to platform architecture and integration strategy, coordinating the deployment of planning algorithms into both simulation platforms and real-world driving environments, ensuring alignment with system-level goals and performance KPIs.

Requirements

  1. Master's degree in Mechanical Engineering, or a related field;
    At least 2 years' experience in algorithms planning and software systems within the autonomous driving industry including:
    1) Develop and test planning systems;
    2) Execute software development lifecycles;
    3) Integrate in real-time systems;
    4) Optimize motion-planning performance and robustness; and proficiency in C++, Python, Machine Learning, Git, simulation tooling.
  2. Annual salary is $130,000.
    Send resumes to HR, Deeproute.AI Ltd., 3125 Skyway Court, Fremont, CA 94539, or email to usoperations@deeproute.ai.