Systems Engineer - Behavior Requirements and Verification
WaabiSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, Autonomous DrivingIndustries
Requirements
- Master's degree or higher in Computer Science, Software Engineering, or a related field
- 3+ years of embedded, robotic, or automotive software development work experience
- Excellent C and C++ skills
- Experience in at least one of the following technical domains: camera capture, ISP processing, image 2D, rendering, display, encoding
- Good English language skills to work effectively with global development and support team
- Ways to stand out (Preferred)
- Knowledge of modern autonomous driving operation system scheduling policy, threading, synchronization, and parallel computing to build highly scalable and stable applications
- Self-managing and ability to break down complex problems into manageable tasks
- Experience in developing system software mostly in user space but also comfortable digging into kernel space and low-level drivers
Responsibilities
- Work directly with customers to provide deep technical assistance in integrating NVIDIA DRIVE products into customer platforms
- Understand customer requirements, develop NVIDIA DRIVE SDK, solve customer technical issues, and optimize stability and performance
- Work independently and drive issues with little or no supervision
- Closely communicate and work with NVIDIA DRIVE customers to technically satisfy their requirements
- Perform software development on NVIDIA DRIVE SDKs with deep knowledge of SDK functionalities and performance
- Deeply understand various vehicle sensors including Camera, Lidar, Radar, GPS, and others
- Work with internal global teams to align customer's requirements and SDK development status
Skills
C
C++
Embedded Software
Automotive Software
NVIDIA DRIVE SDK
Camera Capture
ISP Processing
Image Rendering
Display
Video Encoding
LiDAR
Radar
GPS
Multithreading
Synchronization
Parallel Computing
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees