Linux Kernel Engineer, AI Embedded Operating Systems, Self-Driving
at Tesla
Palo Alto, California, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 25 Oct, 2024 | USD 348000 Annual | 28 Jul, 2024 | 3 year(s) or above | Documentation,Device Drivers,Csi,Pcie,Code Review,Ufs,Performance Analysis,Ethernet | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Responsibilities:
- Pre/Post-silicon Linux bring up to mass production of the next generation AI chip
- Develop and maintain Linux device drivers for AI inference hardware accelerators, camera capture, ISP (Image Signal Processors), GPU, Ethernet, UFS, and PCIE
- Port and maintain Linux Kernel for the custom AI system-on-chip and apply preempt RT patches.
- Define the hardware, software interactions for our next generation fully autonomous car platform, Humanoid Robot and the expanding AI inference use-cases
- Develop and bring-up the system software stack that runs on the AI platform and interacts with various sensors in the car, robot
- Develop features, system software tools in enhancing the functionality, performance and power of the AI platforms
- Write well-structured, testable, efficient, and maintainable code
- Integrate software components into a fully functional software syste
REQUIREMENT SUMMARY
Min:3.0Max:8.0 year(s)
Information Technology/IT
IT Software - System Programming
Software Engineering
Graduate
Proficient
1
Palo Alto, CA, USA