Sr. Staff Software Engineer, AI Infrastructure
Description For Sr. Staff Software Engineer, AI Infrastructure
LinkedIn, the world's largest professional network, is seeking a Sr. Staff Software Engineer to join their AI Infrastructure team. This is a unique opportunity to work at the intersection of AI and hardware optimization, focusing on scaling LinkedIn's AI model training and serving capabilities.
The role involves implementing and deploying AI models on FPGA hardware, working with cutting-edge technology to handle models with hundreds of billions of parameters. You'll be responsible for integrating FPGAs with the existing CPU and GPU infrastructure, developing high-performance and power-efficient solutions for large-scale AI models including recommendation systems, large language models, and computer vision applications.
As a Sr. Staff Engineer, you'll lead technical initiatives, mentor team members, and shape the technical culture of the organization. The position requires expertise in hardware design, software development, and AI frameworks, making it ideal for someone who enjoys working across the full stack of AI infrastructure.
The hybrid work environment offers flexibility while maintaining strong team collaboration. You'll work with various teams including AI practitioners, AI Infrastructure, Compute Infrastructure, and Data Center Infrastructure teams, providing opportunities for broad impact and learning.
LinkedIn offers competitive compensation ($180,000 - $300,000) and comprehensive benefits. The company's mission to create economic opportunity for every member of the global workforce provides a meaningful context for your work. If you're passionate about scaling AI systems and have experience with FPGA development, this role offers an exciting chance to shape the future of AI infrastructure at scale.
Responsibilities For Sr. Staff Software Engineer, AI Infrastructure
- Design, implement, and optimize the performance of large-scale AI models on FPGA for personalized recommendation, large language models, and video models
- Improve the observability and understandability of the FPGA fleet with a focus on improving developer productivity and system sustenance
- Provide architectural guidance on modern FPGA platforms, tools, and workflows
- Mentor other engineers, define technical culture, and help build a fast-growing team
- Function as the tech-lead for key initiatives in AI Infrastructure
- Implement and deploy AI models on Field Programmable Field Array (FPGA) hardware
- Integrate FPGAs in current CPU and GPU fleet
- Develop high-performance and power-efficient FPGA solutions for large scale AI models
Requirements For Sr. Staff Software Engineer, AI Infrastructure
- BS/BA in Computer Science or related technical field or equivalent technical experience
- 5+ years of industry experience in hardware design, software design, and algorithm related solutions
- 5+ years of experience programming in HLS or HDL languages such as C++, SystemC, Verilog, VHDL; and software languages such as Python
- 5+ years of experience with FPGA development software such as AMD Vitis and Vivado, Intel Quartus
- 2+ years of experience as an architect, or technical leadership position
- Hands-on experience developing FPGA hardware solutions and deployment at scale
- Familiarity with deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX
Benefits For Sr. Staff Software Engineer, AI Infrastructure
- Competitive compensation package
- Hybrid work environment
- Career growth opportunities
