Groq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, 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 Performance Modeling Engineer

Mission:

Performance modeling of Groq systems on state-of-the-art AI/ML workloads, identify bottlenecks early and guide future hardware development of the most advanced AI accelerator on the market.

Responsibilities & opportunities in this role:

Develop and maintain performance models for multiple generations of Groq hardware on the latest AI/ML workloads (LLMs, CNNs, LSTMs, etc.)
Analyze AI/ML algorithms to understand their compute, networking and memory requirements, and map them effectively onto the underlying hardware architecture
Lead a matrixed team to enable SW/HW co-optimization across chip, system and software teams
Identify performance bottlenecks and help drive next generation chip architecture through a solid understanding of Groq's software and hardware
Work with silicon and system integration engineers to evaluate the costs & benefits of new technologies on Groq systems
Provide what-if scenarios / continuous guidance directly to CEO & senior leadership
Develop the Design Space Exploration (DSE) tool for performance analysis and exploration of both chip and system across various workloads
Define custom hardware solutions for high profile customers

Ideal candidates have/are:

Computer science, mathematics, ECE or equivalent background and/or experience in this domain
Strong fundamentals in computer architecture, with deep knowledge and experience of working on domain specific AI architectures, is highly preferred
In-depth understanding of latest AI/ML algorithms and their hardware implications
Ability to analyze and simplify complex hardware designs into simple abstracted timing models
Past experience on modeling AI/ML workloads, and creating necessary tools for performance optimization. Experience with modeling LLM performance is beneficial, but not required
Proficient in programming languages such as C/C++ and Python
Experience with cycle-accurate simulators for benchmarking analysis
Experience with developing ASIC microarchitecture design is a plus
Experience with understanding and simulating RTL (systemVerilog) designs is a 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

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 $205,000 to $248,000, determined by your location, skills, qualifications, experience and internal benchmarks. This range is specific to roles in the United States, compensation for candidates outside the USA will be dependent on the local market.

Groq is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex (including gender identity, sexual orientation, and pregnancy), age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.

Groq complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We do not tolerate discrimination or harassment based on any protected characteristic.

Groq is committed to working with and providing reasonable accommodations to qualified individuals with physical or mental disabilities. If you require a reasonable accommodation to complete an application or to participate in the hiring process, please contact us at talent@groq.com. This contact is for accommodation requests only, which will be considered on a case-by-case basis.

All offers of employment are contingent upon verification of the applicant’s identity and employment authorization in accordance with federal law.

Groq encourages people with criminal record histories to apply for employment, and values diverse experiences, including prior contact with the criminal legal system. To that end, Groq welcomes such applicants in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: https://www.phila.gov/documents/fair-chance-hiring-law-poster.

Req ID: 519

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