Role Description - Author tasks to test AI reasoning over technical documentation. - Evaluate AI models on professional document understanding. - Develop complex, multi-step requests with real-world workspace files. - Ensure tasks follow precise instructions and produce accurate outputs. - Use objective evaluation rubrics for task assessment. - Work independently and asynchronously to meet deadlines. Qualifications - 3+ years of experience in software engineering or data science & analytics. Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

• Develop • debug • and test T-SQL code to address a wide range of technical and analytical problems • Determine and implement effective strategies to explore • analyze • interpret • standardize • and conform complex datasets • Collaborate with team members to determine the sufficiency of data and ensure alignment in requirements • Assist Solutions Architects in the development of data processing plans that address the custom needs of each project • Interface with business stakeholders to identify new and/or clarify existing requirements • Manage and prioritize assigned tasks • ensuring deadlines are achieved • communicating appropriately about progress and obstacles

Role Description Support and accelerate product development of industry leading products involving: - Behavioral modeling of analog circuits - Spice and mixed-signal verification - Full-chip verification - Digital circuit verification Establish and promote the adoption of metric driven verification best practices. Apply verification methodologies to reach verification goals, including: - Creating System Verilog simulation environments and infrastructure to verify functionality, accuracy, and performance - Integrating models into full-chip simulations - Correlating results with multidisciplinary teams involved in the design - Supporting design teams in identifying, debugging, and resolving issues - Assisting in developing project verification strategies, planning, resource tracking, and results analysis to ensure on-schedule product delivery Position is a telecommuting role and can be performed from anywhere in the U.S. Position reports to the headquarters. Qualifications - Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Electronic Engineering, or closely related technical field (willing to accept foreign education equivalent) and two (2) years of experience as a Design Verification Engineer or related occupation performing IC design or validation. - Alternatively, a Bachelor’s degree in the same fields and four (4) years of experience as a Design Verification Engineer or related occupation performing IC design or validation. Requirements - Demonstrated Expertise (“DE”) in Perl or Python scripting for data processing, data design creation, data collection, analysis, design automation tools controls, and input/output data formatting. - DE executing the full lifecycle of design/verification, including verification planning, test bench and test case development, architecting coverage and performing system debugging utilizing Cadence Xcelium simulator suite, Synopsys VCS or equivalent. - DE driving metric-driven verification, including specifying, developing, and leveraging advanced verification capabilities using System Verilog, UVM, and coverage analysis. - Demonstrated understanding of analog and digital circuits through prior work experience and coursework. - DE eliciting and communicating complex technical details before key stakeholders. Benefits - Medical, vision, and dental coverage - 401k - Paid vacation - Holidays and sick time - Discretionary performance-based bonus based on personal and company factors

• Obter o entendimento das necessidades negociais e dos requisitos e arquiteturas de software • Construir e manter o projeto técnico (ex.: diagramas, fluxos e interfaces), o código-fonte do software, soluções de dados (ex.: painéis gerenciais ou de monitoramento, relatórios, bases de dados analíticas, dados mestres) • Orientar os membros da equipe quanto ao entendimento do software e das soluções de dados implementados • Compor o time de desenvolvimento, assumindo, planejando, estimando e atendendo os itens de trabalho do backlog a cada sprint