# Senior Perception Engineer - Autonomous Vehicles

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Parking-Perception-DNN-Engineer_JR2014623?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_da4bcc6a-b56

## Description

We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will work on building world-class 3D obstacle perception solutions based on multi-sensor fusion, including cameras, ultrasonic sensors, and radar, to estimate high-resolution reconstruction of the world. The primary approach will be deep learning.

Your key responsibilities will include:

- Developing deep learning and multi-sensor fusion algorithms to improve output accuracy of 3D obstacle perception solutions under challenging and diverse scenarios.

- Identifying and analyzing the strength and weakness of the developed 3D obstacle perception solutions using large-scale benchmark data (both real and synthetic) and improving them iteratively through KPI building and optimization.

- Productizing the developed 3D obstacle perception solutions by meeting product requirements for safety, latency, and software robustness, with a strong emphasis on production deep learning model development.

- Driving and prioritizing data-driven development by working with large data collection and labeling teams to bring in high-value data to improve perception system accuracy.

To succeed in this role, you will need:

- 10+ years of hands-on work experience in developing deep learning and algorithms to solve sophisticated real-world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).

- Experience in multi-sensor fusion (cameras, ultrasonic sensors, radar) for perception tasks, particularly in high-resolution world reconstruction.

- Proven experience in production deep learning model development, including careful data verification, model architecture design, loss function engineering, and debugging ML models.

- Experience in data-driven development and collaboration with data and ground truth teams.

- Strong programming skills in Python and/or C++.

- Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.

If you have experience on end-to-end deep learning model development, proven expertise in developing perception solutions for autonomous driving or robotics using deep learning with multi-sensor input, or hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real-time applications, you will stand out from the crowd.

## Skills

### Required
- deep learning
- multi-sensor fusion
- PyTorch
- Python
- C++
- data-driven development
- production deep learning model development

### Nice to have
- end-to-end deep learning model development
- perception solutions for autonomous driving or robotics
- DNN-based solutions to embedded platforms

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Parking-Perception-DNN-Engineer_JR2014623?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)