quadric.io

Recruitment

• Own the full recruiting lifecycle — from kickoff through sourcing, screening, interview coordination, offer, and close — for 8–12 active requisitions at a time across technical and non-technical functions.
• Build and maintain deep talent pipelines through proactive outbound sourcing via LinkedIn, GitHub, conference networks, employee referrals, and domain-specific communities, particularly within the semiconductor, AI/ML, and systems software ecosystems.
• Serve as a strategic partner to hiring managers and the Head of People: challenge job requirements when needed, advise on compensation positioning, and bring relevant market data into every search.
• Design and deliver an exceptional candidate experience from first contact through day one, reflecting Quadric’s values of integrity, humility, and care for people.
• Develop structured interview processes and scorecards in partnership with hiring teams to drive consistent, bias-reduced decision-making.
• Manage and optimize recruiting tooling (ATS, sourcing platforms, scheduling tools) and ensure data hygiene and pipeline visibility for leadership reporting.
• Contribute to employer branding efforts — helping tell Quadric’s story to candidates in ways that are accurate, compelling, and differentiated.
• Support global hiring across US, APAC, and other regions in partnership with local HR and legal, ensuring compliance with regional requirements (GDPR).
• Define and drive recruiting programs, mentor junior team members, and shape how the talent function scales as the company grows.

Principal Full Cycle Recruiter

Artificial Intelligence

• Develop AI/LLM kernels and operators on the Quadric platform for efficient inference.
• Optimize kernel performance for different hardware configurations and workloads.
• Profile and analyze kernel performance in terms of compute, data, and parallelism; identify micro-architecture and software bottlenecks and provide optimization solutions.
• Optimize kernel C/C++ code to maximize hardware utilization.
• Collaborate across related areas of the AI inference stack to support team and business priorities.
• Make improvements to the Quadric toolchain, compiler, and runtime.
• Provide technical support and documentation to customers and the developer community.

AI Kernel Engineer, New Grad

Application Engineer

• Work with Sales to position and sell the Quadric products
• Defend to customers the unique Quadric architecture and its advantages compared to all other edge AI IP solutions
• Work with customers during evaluations to install the SDK and algorithms and analyze customer systems to determine the best HW/SW solutions for their system
• Analyze technological problems brought in by customers and communicate with engineering for the best solution
• Set up regular technical discussions with customers to help them understand Quadric deliverables, and resolve customer issues with engineering support as well as conducting regular follow-up and monitoring
• Deliver periodic training sessions
• Coordinate with the Sales and Engineering teams in formulating the product specifications according to the customer's needs
• Conduct project feasibility studies
• Some travel required (Internationally to U.S. California headquarters occasionally for training, to company off sites as needed, and within the region as necessary)

Principal Full Cycle Recruiter

AI Kernel Engineer, New Grad

Field Application Engineer – Machine Learning