
Lidar Integration System Engineer
At NVIDIA, we are constantly pushing the boundaries of technology to create groundbreaking solutions for the world's most complex challenges. As a Lidar Integration System Engineer, you will play a crucial role in our efforts to revolutionize the automotive industry by developing cutting-edge lidar systems. We are seeking a highly skilled and motivated individual who is passionate about pushing the limits of what is possible. If you have a strong background in engineering and a deep understanding of lidar technology, we want to hear from you. Join us in shaping the future of autonomous vehicles and make a lasting impact on the world.
- Develop and implement lidar system integration strategies to support the advancement of autonomous vehicle technology.
- Collaborate with cross-functional teams to design, test, and optimize lidar systems for automotive applications.
- Conduct research and analysis to stay current with industry advancements and identify opportunities for innovation and improvement.
- Create and maintain detailed documentation of lidar system designs, processes, and test results.
- Troubleshoot and resolve technical issues related to lidar system integration.
- Ensure compliance with industry and company standards for safety, reliability, and performance.
- Utilize engineering principles and tools to evaluate and improve lidar system performance and functionality.
- Collaboratively work with suppliers and partners to source and evaluate components and materials for lidar systems.
- Continuously evaluate and improve lidar system integration processes to increase efficiency and quality.
- Communicate with internal and external stakeholders to provide updates on project progress and address any concerns or issues.
- Mentor and support junior engineers and team members to promote professional growth and development.
- Stay updated on industry trends and advancements in lidar technology to inform decision-making and drive innovation.
- Represent the company at industry events and conferences to showcase lidar system capabilities and build relationships with potential partners and clients.
Proficiency In Programming Languages Such As C++, Python, And Cuda.
Bachelor's Degree In Electrical Engineering, Computer Engineering, Or A Related Field.
Minimum Of 3 Years Of Experience In Developing And Integrating Lidar Systems For Autonomous Vehicles.
Knowledge Of Lidar Sensor Technologies, Including Point Cloud Processing And Object Detection Algorithms.
Strong Understanding Of Hardware And Software Integration, Including System Architecture And Interface Design.
Software Development
Machine Learning
Computer Vision
Signal processing
Sensor fusion
Data Processing
System integration
Autonomous Vehicles
Lidar Technology
Sensor Calibration
3D Mapping
Communication
Conflict Resolution
Leadership
Time management
creativity
Networking
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Lidar Integration System Engineer in Santa Clara, CA, USA is $110,000 to $140,000 per year. However, this can vary depending on the specific company, experience level, and other factors.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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