AGI Inference Software Manager, AGI Inference

The Inference team at AGI is a group of innovative developers working on groundbreaking multi-modal inference solutions that revolutionize how AI systems perceive and interact with the world. We push the limits of inference performance to provide the best possible experience for our users across a wide range of applications and devices. As a Manager of Software Development in AGI Inference, you will be responsible for leading a team of engineers to build innovative, mission-critical, high-volume production systems that will shape the future of AI. You will have an enormous opportunity to make an impact on in building large, complex software systems, and preferably with machine learning and/or systems software development. This role offers the exciting chance to work in a highly technical domain at the boundary between fundamental AI research and production engineering such as Quantization, Speculative Decoding, and Long Context for inference efficiency.

Key job responsibilities
• Responsible for the over-all systems development life cycle
• Management and execution against project plans and delivery commitments; Manage the day-to-day activities of the engineering team within an Agile/Scrum environment
• Management of departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering team
• Work closely with the engineers to architect and develop the best technical design and approach
• Responsible for status of development, quality, operations, and system performance
• Responsible for development of high-performance inference software for a diverse set of neural models, typically in C/C++
• Responsible for design, prototype, and evaluate new inference engines and optimization techniques
• Responsible for team’s participate in deep-dive analysis and profiling of production code
• Responsible for optimization of inference performance across various platforms (on-device, cloud-based CPU, GPU, proprietary ASICs)
• Lead the team in close collaboration with research scientists to bring next-generation neural models to life
• Partner with internal and external hardware teams to maximize platform utilization
• Work in an Agile environment to deliver high-quality software against aggressive schedules
• Hold a high bar for technical excellence within the team and across the organization


About the team
The AGI Inference team builds groundbreaking multi-modal inference software that revolutionize how AI systems perceive and interact with the world. We push the limits of inference performance to provide the best possible experience for our users across a wide range of applications and devices. As a Manager of Software Development in AGI Inference, you will be responsible for leading a team of engineers to build innovative, mission-critical, high-volume production systems that will shape the future of AI. You will have an enormous opportunity to build large production software systems. This role offers the exciting chance to work in a highly technical domain at the boundary between fundamental AI research and production engineering such as Quantization, Speculative Decoding, and Long Context for inference efficiency.

Basic Qualifications

- Bachelor's Degree in Computer Science
- 3+ years experience managing software development teams
- Experience working with machine learning, speech recognition, computer vision, natural language processing, or related technologies
- Experience designing and developing software systems
- Experience using the tools of the trade, including a variety of modern programming languages C, C++ or Java
- Experience communicating with executives and non-technical leaders • Experience hiring, growing and developing software developers

Preferred Qualifications

- MS or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Math etc.
- Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences
- Hands-on architectural or systems programming experience
- Experience with inference frameworks such as PyTorch, TensorFlow, ONNXRuntime, TensorRT, LLaMA.cpp, etc.
- Proficiency in performance optimization for CPU, GPU, or AI hardware
- Proficiency in kernel programming for accelerated hardware using programming models such as (but not limited to) CUDA, OpenMP, OpenCL, Vulkan, and Metal
- Experience with latency-sensitive optimizations and real-time inference
- Understanding of resource constraints on mobile/edge hardware
- Knowledge of model compression techniques (quantization, pruning, distillation, etc.)
- Experience with LLM efficiency techniques like speculative decoding and long context
- Passion for solving complex problems and driving innovation in AI technology

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