Senior Software Engineer, Perception - Autonomous Vehicles
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Software Development @ 4 Python @ 7 Algorithms @ 7 Machine Learning @ 4 TensorFlow @ 4 Communication @ 4 PyTorch @ 4 CUDA @ 4 GPU @ 4Details
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. 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 looking for a passionate software engineer to design, develop, and productize NVIDIA's autonomous driving solutions. As a member of the perception team, you will build world-class perception solutions. You will design and implement perception software components and be challenged to improve robustness, efficiency, and reusability of the software component, working closely with world-class perception engineers and researchers.
Responsibilities
- Execute full software development life cycle (SDLC).
- Write well-designed, testable code.
- Integrate perception (but not limited to) 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.
Requirements
- 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; ability to work as a tightly-knit team.
Ways to stand out
- 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 frameworks (e.g., TensorFlow, PyTorch, etc.).
- Experience with integration and testing on real hardware / robotic platforms.
Compensation & Benefits
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Other details
- Location: Santa Clara, CA, United States.
- Time type: Full time.
- Applications for this job will be accepted at least until October 10, 2025.
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.