MTS Agent Research
Etched is an AI-hardware company building rack-scale frontier inference clusters.
Maintainer signals as of 9/25/2026
Funding history
About Etched
Etched co-designs chips, racks, software, and manufacturing systems for efficient inference of frontier AI models, targeting throughput, latency, cost, and power efficiency across prefill and decode workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will set research direction for agentic systems and turn engineering workflow failures into measurable research questions. You will build long-running agent systems with memory, context, tools, planning, and coordination; create production-relevant evaluations; train specialized models with SFT, RL, and distillation; and scale reproducible experiments while managing compute costs.
Requirements
- Research experience turning ambiguous problems into hypotheses, experiments, and useful systems.
- Engineering ability across research exploration, agent experimentation, debugging, and production execution.
- Experience building agents for complex multi-step tasks using context, memory, tools, evaluation, and failure recovery.
- Hands-on experience with LLM post-training, including SFT and RL.
- Experience making progress under compute and data constraints.
- Ability to set technical direction and work with domain experts to produce trusted systems.
Responsibilities
- Own the research agenda for agentic systems and prioritize promising approaches.
- Work with domain engineers to understand workflows, diagnose agent failures, and create concrete evaluations.
- Develop systems for long-running tasks using memory, context management, tool use, planning, and agent coordination.
- Build evaluations for correctness, reliability, efficiency, and production transfer.
- Train custom models using SFT, RL, and distillation with the agent harness in the training loop.
- Use execution trajectories and failure analysis to guide training data and reward design.
- Scale experiments to hundreds or thousands of concurrent agents while maintaining reproducibility, observability, and compute-cost control.
Benefits
- Medical, dental, and vision packages with generous premium coverage.
- $500 per month credit for waiving medical benefits.
- Housing subsidy of $2,500 per month for employees living within walking distance of the office.
- Relocation support for employees moving to San Jose.
- Wellness benefits covering fitness and mental health.
- Daily lunch and dinner in the office.
- Unlimited compute budget subject to ROI justification.
- Significant equity.