Senior Perception Software Engineer — Equity Eligible

NVIDIA AI

California

In loco

USD 150.000 - 190.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Equity
Benefits

Descrizione del lavoro

NVIDIA AI is seeking a senior software engineer to design, develop, and productize perception software for autonomous driving. You will work on embedded platforms, deploy DNN models, and ensure robustness in real-time environments.

Role emphasizes C++/Python proficiency, deep learning frameworks, and experience with embedded systems. Join a team advancing perception stacks for next-gen autonomous solutions.

Competenze

  • 12+ years of experience in embedded platforms for real-time applications.
  • Strong proficiency in C++ and Python.
  • Degree in Computer Science or a related field is required.
  • Experience in test-driven development and deep learning frameworks.

Mansioni

  • Design, develop, and productize autonomous driving perception software components.
  • Execute the full software development life cycle for embedded systems.
  • Integrate components into functional systems and deploy DNN models to embedded platforms.

Conoscenze

C++
Python
Deep learning
Embedded systems
Perception
Software development life cycle
Test-driven development
Robotics
Debugging
Software verification
Algorithm design

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

CUDA
TensorFlow
PyTorch
SIMD

Descrizione del lavoro

You will design, develop, and productize autonomous driving perception software components while ensuring robustness and efficiency. Responsibilities include executing the full software development life cycle, integrating components into functional systems, and deploying DNN models to embedded platforms.

Requirements: Candidates must have 12+ years of experience in embedded platforms for real-time applications and strong proficiency in C++ and Python. A degree in Computer Science or a related field is required, along with experience in test-driven development and deep learning frameworks.

Key Skills: C++, Python, Deep learning, Embedded systems, Perception, Software development life cycle, Test-driven development, CUDA, SIMD, TensorFlow, PyTorch, Robotics, Debugging, Software verification, Algorithm design

Benefits: Equity, Benefits

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