Easy Apply
Easy Apply
Lead the design and optimization of software for autonomous driving silicon, focusing on performance and collaboration across teams.
Do you want to be part of AI revolution? Do you want to think out of box with thriving on challenges in AI industry and desire to solve them? Do you want to work with a world-class team to explore the fast-growing AI hardware opportunities and impact on AI industry? We’re looking forward to your joining us to collaborate and contribute and revolutionize AI silicon and system.
Description
As a System Software Engineer Lead, you will
- Lead the team in designing and architecting the software stack, including but not limited to boot, security, safety, driver, os, middleware, OTA, applications, etc, for autonomous driving silicon and system.
- Optimize the system performance and work closely with algorithm team to tackle challenges in optimization from bottom to up.
- Communicate readily with your peers across organizations and collaborate effectively.
Qualifications
- 7+ years of significant software and product experience in SoC system software design and optimization, with expertise in both OS kernel optimization and real time development.
- Deep understanding in QNX/Linux OS kernel and proficiency in C/C++.
- Extensive experience in sophisticated automotive or embedded systems on BSP and drivers (e.g. Ethernet, Camera, SerDes, Display, PCIe, eMMC, UFS, Lidar/Radar, etc).
- Solid background of CPU architecture, and extensive experience in software development in the areas of ARM/RISC-V/MIPS processors, ISA, Memory subsystem, coherency, AI/ML architecture, security, etc.
- Ability to debug at board or silicon level and appropriate probing hardware.
- Experience in both performance and power optimization from hardware to software.
- Proof of leadership and passion for innovation.
- Experience in autonomous driving or AUTOSAR / ISO 26262 is a plus.
- Team player with great communication skills in both English and Mandarin.
- BS, MS or PhD in computer science, electrical engineering, or equivalent experience.
Culture Fit:
- Mission alignment: If you want to be part of a team to accomplish this great mission, we will provide you the best possible platform to do that.
- Self-directed: We work best with people that are driven, motivated, and aspire to greatness.
- Hungry to learn: We are eager to see you learn new skills and grow.
- Team orientation: We work in small, fast-moving teams. We watch out for each other and go after big goals together as a team.
#LI-DNI
Top Skills
Arm
C
C++
Linux
Mips
Qnx
Risc-V
Soc
Baidu Sunnyvale, California, USA Office
1195 Bordeaux Drive, Sunnyvale, CA, United States
Similar Jobs
Artificial Intelligence • Robotics
Lead ownership of Dapster's robotic system, writing code for sensors and interfaces, integrating devices, and contributing to foundational technology.
Top Skills:
BluetoothC/C++LinuxPythonWifi
Cloud • Software
Lead and develop a talented SRE team while ensuring compliance with FedRAMP regulations and collaborating across teams for security and operations.
Top Skills:
AIAutomationCloudDistributed SystemsFedrampSecurity
Fintech • Financial Services
As a Teller, you will support customer transactions, engage with clients, process operations, and ensure compliance with bank policies while building community relationships.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


