Groq
Software Engineer, Model Evaluation SystemsPalo Alto, CA
Groq, Palo Alto, California, United States, 94306
Software Engineer, Model Evaluation Systems
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. Build and optimize model evaluation systems to ensure that AI models deployed on Groq's platform achieve best-in-class quality, throughput, and efficiency. Develop benchmarking frameworks, optimize model performance, and drive improvements that push the boundaries of evaluation systems. Responsibilities & opportunities in this role: Write simple, concise, high-performance code in Python and Golang to support evaluation pipelines and tooling. Develop and implement benchmarking tools to assess the performance of models hosted on Groq, ensuring Groq's AI infrastructure remains at the cutting edge of efficiency and performance. Build automated evaluation systems and testing infrastructure to streamline model deployment and validation processes. Work closely with cross-functional teams to integrate models into Groq's infrastructure, ensuring seamless operation and accurate evaluation across various system configurations. Collect and analyze performance data, providing actionable insights and recommendations for improving model performance, scalability, and reliability. Ideal candidates have/are: Proven experience building or working with evaluation systems or working on novel applied AI projects. Proficiency in Python and Golang, with strong software engineering fundamentals and best practices. Ability to see projects through end-to-end independently, taking initiative to optimize systems proactively. Deep problem-solving skills candidates should be able to tackle non-trivial challenges with minimal guidance. Ability to work across unconventional AI problems, iterate quickly, and ship impactful solutions. Contributions to open-source projects or prior startup experience is a big plus. 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! A competitive base salary is part of our comprehensive compensation package, which includes equity and benefits. For this role, the base salary range is $154,445 to $208,955, determined by your skills, qualifications, experience and internal benchmarks.
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. Build and optimize model evaluation systems to ensure that AI models deployed on Groq's platform achieve best-in-class quality, throughput, and efficiency. Develop benchmarking frameworks, optimize model performance, and drive improvements that push the boundaries of evaluation systems. Responsibilities & opportunities in this role: Write simple, concise, high-performance code in Python and Golang to support evaluation pipelines and tooling. Develop and implement benchmarking tools to assess the performance of models hosted on Groq, ensuring Groq's AI infrastructure remains at the cutting edge of efficiency and performance. Build automated evaluation systems and testing infrastructure to streamline model deployment and validation processes. Work closely with cross-functional teams to integrate models into Groq's infrastructure, ensuring seamless operation and accurate evaluation across various system configurations. Collect and analyze performance data, providing actionable insights and recommendations for improving model performance, scalability, and reliability. Ideal candidates have/are: Proven experience building or working with evaluation systems or working on novel applied AI projects. Proficiency in Python and Golang, with strong software engineering fundamentals and best practices. Ability to see projects through end-to-end independently, taking initiative to optimize systems proactively. Deep problem-solving skills candidates should be able to tackle non-trivial challenges with minimal guidance. Ability to work across unconventional AI problems, iterate quickly, and ship impactful solutions. Contributions to open-source projects or prior startup experience is a big plus. 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! A competitive base salary is part of our comprehensive compensation package, which includes equity and benefits. For this role, the base salary range is $154,445 to $208,955, determined by your skills, qualifications, experience and internal benchmarks.