
Senior Autonomous Vehicles Engineer - Mapping and Localization
Are you a highly skilled engineer with a passion for cutting-edge technology? Do you have experience in autonomous vehicles and a deep understanding of mapping and localization? NVIDIA is looking for a talented Senior Autonomous Vehicles Engineer to join our dynamic team and help shape the future of self-driving cars. As a key member of our mapping and localization team, you will have the opportunity to work with state-of-the-art technologies and collaborate with some of the brightest minds in the industry. If you are driven, innovative, and ready to take on new challenges, we want to hear from you!
- Design and develop cutting-edge technology for autonomous vehicles, specifically focused on mapping and localization.
- Collaborate with team members to create and implement innovative solutions for self-driving cars.
- Utilize your deep understanding of mapping and localization to improve and optimize existing systems.
- Stay up-to-date on the latest advancements and trends in the field of autonomous vehicles.
- Conduct research and experiments to further enhance mapping and localization capabilities.
- Work closely with cross-functional teams to integrate mapping and localization technologies into overall self-driving car systems.
- Troubleshoot and debug issues related to mapping and localization.
- Mentor and guide junior engineers in the team.
- Contribute to technical documentation and provide training to other team members.
- Coordinate with external partners and vendors to leverage their technologies and expertise.
- Take ownership of projects and ensure timely and successful delivery.
- Continuously improve processes and methodologies to increase efficiency and productivity.
- Participate in industry events and conferences to showcase NVIDIA's advancements in mapping and localization for autonomous vehicles.
- Collaborate with product management and business teams to understand market needs and incorporate them into product development.
- Proactively identify and propose new ideas and solutions to drive innovation and improve the capabilities of self-driving cars.
Extensive Knowledge And Experience In Mapping And Localization Algorithms For Autonomous Vehicles, Including Slam, Visual Odometry, And Sensor Fusion Techniques.
Proficiency In Programming Languages Commonly Used In Autonomous Vehicle Development, Such As C++, Python, And Matlab.
Proven Track Record Of Successfully Designing And Implementing Mapping And Localization Solutions For Autonomous Vehicles In A Production Environment.
Strong Understanding Of Machine Learning And Deep Learning Techniques For Perception And Sensor Fusion In Autonomous Vehicles.
Excellent Communication And Collaboration Skills, With The Ability To Work In A Team Environment And Effectively Communicate Technical Concepts To Non-Technical Stakeholders.
Machine Learning
Deep Learning
Computer Vision
Sensor fusion
Sensor Integration
Path Planning
Sensor Calibration
Mapping Techniques
Simultaneous Localization And Mapping (Slam)
Localization Algorithms
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Autonomous Vehicles Engineer - Mapping and Localization in Pune, Maharashtra, India is approximately ₹2,000,000 - ₹3,000,000 per year. This may vary based on factors such as experience, skills, and the specific company or organization the engineer is working for.
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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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