Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.
We are now looking for a passionate Software Engineer to design, develop, and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will build world-class perception solutions. You will design and implement perception SW component and be challenged to improve robustness, efficiency, reusability of the software component working closely with the world class perception engineers and researchers.
What you'll be doing:
Execute full software development life cycle (SDLC).
Write well-designed, testable code.
Integrate perception (but not limited) software components into a fully functional software system.
Develop software verification plans and quality assurance procedures.
Document and maintain software functionality.
Solve, debug and upgrade existing systems.
Stay in sync with project plans and industry standards
Deploy state-of-the art perception DNN models to embedded platforms.
Analyze and improve the system using both real and synthetic benchmark data.
What we need to see:
BS, MS or PhD in Computer Science or related fields (or equivalent experience).
Proven work experience (8+ years) on embedded platforms for real-time applications as a Software Engineer or Software Developer
Strong programming skills in C++ and Python.
Experience with test-driven development.
Experience with disciplined, design based approach to software development.
Proficiency in software engineering tools.
Ability to document requirements and specifications.
Outstanding communication and collaboration skills as we work as a tightly-knit team, always discussing and learning from each other.
Ways to stand out from the crowd:
Experience with CUDA / SIMD
Hands on background in deploying DNN models to embedded platforms for real-time applications.
Hands-on experience in using simulated / synthetic data to improve accuracy of machine learning models.
Background with deep learning framework (e.g., TensorFlow, PyTorch, etc).
Experience with integration and testing on real hardware / robotic platforms
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
You will also be eligible for equity and benefits.
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