Search the 20 jobs at Groq

The Physical Design Engineer is responsible for block level synthesis and implementation, including timing and physical signoff, collaboration with design teams, and optimization of methodologies for high-performance processor design. The role also involves leveraging EDA tools and scripting for automation along with power optimization and verification tasks.

The Contracts Manager will oversee the contract lifecycle from negotiation to execution, ensuring compliance with policies and procedures. Responsibilities include managing contracts with customers and vendors, developing contract templates, collaborating with legal and procurement teams, handling renewals, and providing training on contract processes.

Design, develop and deliver scalable and maintainable software systems for provisioning and managing Groq hardware at scale. Responsibilities include API design, automated testing, and collaborating effectively across teams.

The Site Manager will oversee data center operations, ensuring scalability and reliability of infrastructure, manage onsite teams, and support maintenance of hardware systems. Responsibilities include leading commissioning activities, maintaining mechanical and electrical systems, developing standard operating procedures, and preparing the data center for operational challenges.

The SLT Test Engineer will own the system-level testing to enhance the quality and reliability of GroqCloud by designing and validating tests, collaborating with other teams, and automating SLT tests for improved manufacturing processes.

The Office Manager at Groq is responsible for ensuring smooth operations at the Toronto location, managing administrative tasks, facilities coordination, vendor relationships, and providing support for employees and office events. This role involves maintaining safety policies, workspace planning, office upkeep, and supporting the company's operational needs in a fast-paced environment.

The Site Manager at Groq is responsible for overseeing data center operations, ensuring scalability and reliability, managing maintenance on hardware systems, leading a team of technicians, and developing safe operating procedures. The role involves collaborating with the VP of Data Center Operations and supporting the company's mission through effective communication and project management.

The Engineering Lead: Growth & Monetization is responsible for building and scaling the engineering team to focus on growth initiatives. This role includes coding, collaboration with marketing and sales, managing growth experimentation, and ensuring robust user onboarding and payment processes. The candidate will lead by example in delivering high-quality solutions while driving developer engagement towards paid conversions.

Joining Groq means becoming part of a team passionate about making AI accessible while contributing to the development of advanced processing power. The company seeks talented individuals who demonstrate humility, collaboration, innovative thinking, and a commitment to diversity. They encourage applications from those interested in various software engineering opportunities, promising a chance to influence the future of AI.

Groq is seeking talent passionate about AI and human agency. As a geo-agnostic company, they focus on asynchronous and remote collaboration. This job opportunity is open to various skills and backgrounds, inviting applicants to submit their information for any suitable roles.

Groq seeks talents for hardware engineering opportunities to work on AI technologies, specifically focusing on improving processing power for AI applications. Candidates will engage in innovative and collaborative projects aimed at enhancing the capabilities of AI through the company's specialized Language Processing Unit.

As an AI Solutions Architect at Groq, you will drive the adoption of AI technology by understanding customer needs, architecting solutions, and ensuring successful deployment. You'll engage in technical sales leadership, build relationships with customers, and provide ongoing technical support while influencing product development based on market insights.

Lead and manage hardware silicon and systems programs at Groq, collaborating with cross-functional teams to drive projects involving silicon design, post-silicon validation, and performance testing. Provide technical guidance on AI chip architectures and foster a culture of execution within teams while managing risks and alignment with corporate goals.

The Principal Technical Program Manager will lead and execute hardware and software programs at Groq, focusing on AI solutions. This role involves overseeing project management, coordinating cross-functional teams, providing technical guidance on AI chip architectures, and managing the product lifecycle from concept to delivery while ensuring alignment with company goals.

The Devices Software Engineer at Groq will design and develop software and firmware for machine learning accelerators. Responsibilities include working on various architectures, debugging and validating functionality, implementing communication protocols, and new hardware bring-up.

The DFT Engineer Lead at Groq is responsible for developing and implementing DFT architecture for their AI architecture, including creating test plans, advanced DFT techniques, and collaborating on post-silicon testing. The role requires significant hands-on experience in ASIC DFT design and testing.

The Engineering Lead for the MultiModal Team at Groq will design and optimize multimodal machine learning models to enhance AI capabilities. Responsibilities include data processing, collaboration with cross-functional teams, performance optimization, prototyping, and staying updated with the latest AI developments.

The Manager, RMA / FA Engineering will lead the debug and root-cause analysis for Groq's AI/ML products, managing a team and collaborating with product, hardware, and test engineers to optimize RMA testing strategies and oversee failure analysis operations.

Conduct test, debug, and root-cause analysis for field RMAs of Groq AI/ML products. Collaborate with engineers to create reports, drive resolution plans for quality alerts, and monitor hardware quality performance.

The Principal Inference Stack Engineer at Groq will lead efforts to optimize ML workloads on Groq's LPU, develop and maintain an optimizing compiler, expand Groq's runtime API, benchmark compiler outputs, manage collaborative projects, mentor junior engineers, and publish compilation techniques.