Top Tech Jobs & Startup Jobs in Seattle, WA

Optimize GPU kernels using CUDA and profiling tools to improve computational throughput across modern hardware. Refactor C++ and CUDA code, implement GLSL and WebGPU shader workflows, analyze performance bottlenecks, document optimization findings, and collaborate with stakeholders on GPU-based approaches and metrics.

Design, simulate, verify, and validate analog, digital, power, mixed-signal, or RF circuits for an AI training project. Translate requirements into schematics, netlists, HDL, models, and simulation inputs; automate workflows with Python; analyze electrical results; perform corner and Monte Carlo analyses; compare simulations with physical measurements; troubleshoot hardware and review AI-generated circuit solutions. Requires real fabricated or shipped circuit-design experience and command-line or programmatic EDA expertise.

Create reproducible data science and machine learning tasks with verified reference solutions, robust tests, and evaluation criteria. Investigate coding-agent failures, identify implementation errors and data leakage, refine task designs, and document requirements and verification steps. The role requires competitive data science experience, mathematical reasoning, programming ability, and practical expertise in implementing and validating solutions.

Remote contract CAD expert role supporting AI training for manufacturing workflows. Responsibilities include reviewing and refining AI-generated manufacturing content, providing CAD, CAM, and CNC process feedback, and developing evaluation rubrics. Candidates need hands-on CAD experience, strong communication skills, and coding-agent experience with Python. Work is flexible at 15–20 hours per week, with output-based compensation and immediate availability preferred.

Create realistic business scenarios and complex Excel, PowerPoint, and Word deliverables; interact with language models; evaluate AI-generated responses; and document detailed, actionable feedback. The role applies Fortune 500 business experience across financial modeling, executive presentations, strategic proposals, reporting, and data analysis while collaborating asynchronously with project coordinators.

Provide expert feedback on CAD, CAM, CNC, and manufacturing workflows to train and evaluate AI systems. Review and refine AI-generated manufacturing recommendations, develop process-accuracy and efficiency rubrics, and validate outputs. The role requires hands-on CAD expertise, strong communication, and coding-agent experience with Python. Work is fully remote, contract-based, flexible at 15–20 hours per week, and paid per completed task.

Design realistic, multi-step business operations benchmark tasks from real workflows. Create supporting materials such as spreadsheets, system exports, process documents, and operational reports. Define objective grading criteria, identify ambiguous or ungradable tasks, and deliver approved work on schedule. Requires hands-on operations, reporting, process design, or workflow management experience, plus strong Excel and English skills.

Reconstruct executive sales, revenue, and go-to-market presentations in Microsoft PowerPoint. Improve visual storytelling, message hierarchy, data visualization, content clarity, and executive-ready aesthetics while preserving effective elements. Document the rationale for every change and omission, assess slide effectiveness, and complete project-based sprint assignments. The role requires strong sales and GTM expertise, presentation design ability, critical thinking, attention to detail, and written communication.

Uses Bloomberg Terminal and related tools to complete, analyze, and document realistic financial-market workflows. Researches companies, securities, markets, and portfolios; interprets financial data; identifies inaccuracies; creates realistic finance scenarios; explains workflow steps; and provides clear written feedback independently and asynchronously.

Create challenging coding tasks for AI systems, implement deterministic solution verifiers, and contribute backend expertise across feature development, bug fixing, refactoring, performance optimization, testing, and security reviews. The role requires strong programming and software engineering skills, with cybersecurity experience in secure coding, application security, penetration testing, vulnerability assessment, or security-focused code reviews preferred.