About Groq
Groq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. Headquartered in Silicon Valley, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
Principal Inference Stack Engineer
Mission: lead technical efforts focused on mapping ML workloads onto Groq’s LPU through deep and first hand working knowledge of Groq’s state-of-the-art spatial compiler and ML inference stack.
Responsibilities & outcomes:
- Analyze latest ML workloads from Groq partners or Cloud and develop optimization roadmap and strategies to improve inference performance and operating efficiency of workload
- Design, develop, and maintain optimizing compiler for Groq's LPU
- Expand Groq runtime API to simplify execution model of Groq LPUs
- Benchmark and analyze output produced by optimizing compiler and runtime, and drive enhancements to improve its quality-of-results when measured on the Groq LPU hardware.
- Manage large multi-person and multi-geo projects and interface with various leads across the company
- Mentor junior compiler engineers and collaborate with other senior compiler engineers on the team.
- Review and accept code updates to compiler passes and IR definitions.
- Work with HW teams and architects to drive improvements in architecture and SW compiler
- Publish novel compilation techniques to Groq's TSP at top-tier ML, Applications, Compiler, and Computer Architecture conferences.
Ideal candidates have/are:
- 10+ years of experience in the area of computer science/engineering or related
- 5+ years of direct experience with C/C++ and runtime frameworks
- Knowledge of LLVM and compiler architecture
- Experience with mapping HPC, ML, or Deep Learning workloads to accelerators
- Knowledge of spatial architectures such as FPGA or CGRAs an asset
- Knowledge with distributed systems and disaggregated compute desired
- Knowledge of functional programming an assert
- Experience with ML frameworks such as TensorFlow or PyTorch desired
- Knowledge of ML IR representations such as ONNX and Deep Learning
Attributes of a Groqster:
- Humility - Egos are checked at the door
- Collaborative & Team Savvy - We make up the smartest person in the room, together
- Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
- Curious & Innovative - Take a creative approach to projects, problems, and design
- Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
If this sounds like you, we’d love to hear from you!
Compensation: At Groq, a competitive base salary is part of our comprehensive compensation package, which includes equity and benefits. For this role, the base salary range is $248,710 to $407,100, determined by your skills, qualifications, experience and internal benchmarks.
Location: Some roles may require being located near or on our primary sites, as indicated in the job description.
At Groq: Our goal is to hire and promote an exceptional workforce as diverse as the global populations we serve. Groq is an equal opportunity employer committed to diversity, inclusion, and belonging in all aspects of our organization. We value and celebrate diversity in thought, beliefs, talent, expression, and backgrounds. We know that our individual differences make us better.
Groq is an Equal Opportunity Employer that is committed to inclusion and diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, disability or protected veteran status. We also take affirmative action to offer employment opportunities to minorities, women, individuals with disabilities, and protected veterans.
Groq is committed to working with qualified individuals with physical or mental disabilities. Applicants who would like to contact us regarding the accessibility of our website or who need special assistance or a reasonable accommodation for any part of the application or hiring process may contact us at: talent@groq.com. This contact information is for accommodation requests only. Evaluation of requests for reasonable accommodations will be determined on a case-by-case basis.
