5 days ago
San Jose, CA, USASenior / Staff+
H1B sponsor
Base Salary
$123k - $200k/yr
Responsibilities
- Own the end-to-end architecture and development of AI-native products and platforms, including data pipelines and scalable production services.
- Implement generative AI systems using frontier LLMs, RAG pipelines, and multi-agent workflows.
- Lead rapid prototypes, proof-of-concepts, evaluation harnesses, and production hardening in partnership with product teams.
- Design and implement MLOps infrastructure covering model serving, automated testing, and observability.
- Research AI use cases such as threat-hunting copilots, developer productivity tools, and automated workflow optimization.
- Collaborate with product, design, and business stakeholders; mentor junior engineers; and promote responsible AI and experimentation.
- Present technical strategy, roadmaps, trade-offs, demonstrations, visualizations, and business impact to executives and engineering teams.
Requirements
- At least 10 years of professional experience in software engineering, machine learning engineering, or related fields, including at least 7 years of hands-on software or machine learning engineering and 3 years in technical leadership.
- Deep hands-on expertise with generative AI and LLM systems, including RAG, fine-tuning, agentic frameworks, prompt engineering, vector databases, and model evaluation.
- Strong backend engineering and distributed-systems fundamentals with mastery of Python.
- Hands-on experience with at least one major cloud AI platform, including GCP Vertex AI, AWS SageMaker, or Azure ML.
- Experience with containerized workflows using Docker and Kubernetes.
- Ability to translate ambiguous business problems into technical blueprints and phased execution plans.
- Exceptional written, verbal, communication, and presentation skills for engineering and senior-management audiences.
- B.S. or higher in Computer Science, Engineering, Mathematics, or a related technical field.
- Experience deploying AI into developer tooling, such as IDE plug-ins or CI/CD pipelines, is preferred.
- Active open-source AI/ML contributions, top-tier academic publications, and knowledge of combinatorial optimization or operations research are preferred.
Benefits
- Hybrid work schedule requiring four days in the office.
- Comprehensive benefits, allowances, bonuses, and market-competitive total compensation package.
- Extensive employee development opportunities and programs.
Tech Stack
Categories
About TSMC
TSMC (Taiwan Semiconductor Manufacturing Company) is a pure-play semiconductor foundry that manufactures integrated circuits for fabless and systems companies on a contract basis. Founded in 1987 and headquartered in Hsinchu, Taiwan, it is the world’s largest chip foundry, with advanced process nodes and fabs in Taiwan and new facilities in Arizona and Japan. Its shares trade on the Taiwan Stock Exchange (2330) with ADRs on the NYSE (TSM).