Senior Perception & Sensor Fusion Software Engineer

NVIDIA Corporation

Santa Clara (CA)

Presencial

USD 152.000 - 288.000

Jornada completa

14 días+

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Descripción de la vacante

NVIDIA is seeking a Solutions Engineer to design and deploy scalable autonomous vehicle software architectures, focusing on perception and sensor fusion across multiple vehicle platforms. The role partners with architecture, software, and global teams to advance drivability and integration challenges.

You will bring deep learning and robotics expertise, mature data-driven workflows, and hands-on experience with C/C++, Python, and CUDA.

Formación

  • 5+ years of work experience in software development related to deep learning and/or autonomous driving technologies.
  • Experience deploying deep learning-based perception solutions across cameras, lidars, ultrasonics, radar.
  • Data flywheel for scaling DL-based perception solutions.
  • Solid grasp on sensor processing pipelines and lifecycle.
  • BS/MS in CS/ robotics/ EE or related field (or equivalent).

Responsabilidades

  • Shape the application architecture with a focus on perception & sensor fusion, collaborating with architecture and software teams.
  • Integrate NVIDIA solutions in target vehicles, tuning perception and sensor fusion for driving performance.
  • Lead bring-up activities and provide tech support for functional and perception issues.
  • Perform in-vehicle and simulation test drives for functional and performance analysis.
  • Collaborate with global teams to deploy solutions to customers.

Conocimientos

C/C++
Python
Deep learning
Sensor fusion
Robotics

Educación

BS/MS in CS/EE/Robotics

Herramientas

CUDA
QNX RTOS
RTOS

Descripción del empleo

NVIDIA is seeking a Solutions Engineer to design and deploy scalable autonomous vehicle software architectures, focusing on perception and sensor fusion across multiple vehicle platforms. The role partners with architecture, software, and global teams to advance drivability and integration challenges.

You will bring deep learning and robotics expertise, mature data-driven workflows, and hands-on experience with C/C++, Python, and CUDA.

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