Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Communication @ 6
Debugging @ 4
Linux @ 4
Prioritization @ 6
Python @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
The Autonomous Vehicles Platform Team is looking for Senior Software Engineers and Architects to develop and bring NVIDIA's automotive platform out to the world. You will participate in a focused effort define productive ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding NVIDIA and automotive standards & guidelines.
Responsibilities
- Software design, development and bring-up of next generation autonomous vehicle hardware platforms and sensors such as cameras, radars, lidars, etc.
- Collaborate with software, hardware and systems engineering teams to support bring up of new hardware, debug and resolve in-vehicle system issues, ensuring NVIDIA HW and SW solutions are correctly integrated and working on autonomous development vehicles.
- Regularly engage with customer teams directly to customize, integrate and productize DRIVE platforms.
- Drive the reliability of the software platform which includes RADAR, LiDAR, Camera sensor processing and fusion.
- Analyze complex technical issues across software and hardware domains and independently drive issue analysis and resolution across multiple teams.
- Work in an environment which involves Hypervisor, Linux, QNX RTOS.
Requirements
- BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or relevant field (or equivalent experience).
- 5+ years of relevant experience working on software design and development.
- Excellent communication and organization skills, with a logical approach to problem solving, good time-management and task-prioritization.
- Excellent C/C++/Python programming skills.
- Experience with embedded system involving Linux/RTOS with exposure to bring-up and debugging of ARM-based SoC target hardware boards.
- Strong debugging skills from application to kernel level and comfortable working across SW/HW domains.
- Device driver knowledge is a major plus.
- Master of software debugging tools: software debuggers, analyzers, trace loggers.
Benefits
- You will also be eligible for equity and benefits.