About The Position
As a member of the ML group, you will design, prototype, and ship agentic GenAI systems that help chip design engineers accelerate their day-to-day workflows. The role focuses on taking LLMs from promising demos to dependable tools by building agent loops, retrieval pipelines, and evaluation frameworks. You will join a growing team of ML and software engineers building GenAI solutions for chip design teams, and work with customer teams, researchers, and software engineers to shape and productionize solutions.
Requirements
- MSc or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong programming skills in Python.
- Experience with modern machine learning and deep learning frameworks, such as PyTorch.
- Hands-on experience with agentic frameworks, tool use, and data pipelines.
- Ability to design golden sets, metrics, and telemetry to drive evaluation and iteration.
- Excellent communication and collaboration skills, including the ability to work with subject-matter experts and translate domain knowledge into agent behavior.
Nice To Haves
- Hands-on experience with stateful, multi-turn agentic frameworks and complex execution flows.
- Experience with prompt engineering and optimization techniques.
- Experience with model adaptation, such as fine-tuning, distillation, or preference optimization.
- Publications at top-tier venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, or similar.
- Familiarity with chip design or EDA environments.
Responsibilities
- Design and build agentic systems featuring multi-agent coordination, long-horizon reasoning, tool use, and planning frameworks.
- Develop end-to-end solutions, including domain-specific agents and high-performance retrieval pipelines spanning diverse data sources.
- Partner with customer-team subject-matter experts to translate workflows and rules of thumb into agent assignments, prompts, tools, and guidelines.
- Build agent evaluation frameworks by defining success measures, curating offline golden sets, and instrumenting online telemetry to support feedback loops and safe iteration with cost and quality controls.
- Drive prompt engineering, model selection, and lightweight model adaptation as workloads demand.
- Collaborate with software engineers to productionize work, and with researchers and customers to shape future development.
- Stay current with developments in agentic AI and LLMs, and bring promising techniques into products using sound engineering judgment.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
