System Software Engineer, DRIVEOS System Software Team
NVIDIA
Date: 5 days ago
City: Pune, Maharashtra
Contract type: Full time
We are looking for an Embedded System Software Engineer with a good understanding of System Software development, bringup of new platforms, knowledge of networking, experience in working on Linux or any RTOS software development and low level programming/debugging knowledge. As a System Software Engineer in the Automotive team, you will get an opportunity to work on NVIDIA's latest Platforms and SOCs, help solve complex and meaningful problems, and work alongside industry experts in teams with wide-ranging strengths and projects.
What You'll Be Doing
JR1983469
What You'll Be Doing
- Port DRIVE OS Linux and QNX on new in-house hardware platforms
- Develop platform system software for external devices connected on-board
- Design and develop safety compliant (ISO26262) system software for NVIDIA DRIVEOS operating system for autonomous vehicles
- Develop QNX and Linux Drivers and system applications for Hypervisor based systems on NVIDIA Tegra SOC
- Establish & bring-up system software on next generation NVIDIA Tegra SOC
- Architect and implement solutions to complex issues & defects involving interactions between components partitioned across the large software stack
- Use Formal Methods to design and develop high integrity software
- BS/MS in electrical engineering, computer science, or computer engineering or equivalent experience
- Excellent embedded C programming skills
- Good knowledge of debugging methodologies
- Good understanding of computer architecture, operating system fundamentals
- Hands-on experience in BSP porting.
- A strong teammate; self-motivated with a positive approach!
- 1-5 years experience in relevant field.
- Background with networking, network switches and time synchronization mechanisms
- Experience developing drivers on QNX, LK or other RTOS on 32/64-bit ARM SoC.
- Hands-on experience with Debugging Tools like JTAG, DSTREAM
- Having knowledge of Ada/SPARK programming and TLA+ formal verification modeling.
JR1983469
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