Jobs at Etched

Own the full employee lifecycle, including onboarding, transfers, leaves, offboarding, benefits, payroll inputs, compliance, and HRIS administration. Advise employees and managers on policies, pay, performance, and organizational changes. Lead performance, engagement, recognition, and learning programs while partnering with Finance, Legal, brokers, and vendors. Improve People systems, automate processes, maintain accurate records, and support compensation, equity, relocation, and housing programs.

Build and deploy production-level solutions for Etched’s critical engineering challenges. Projects may include internal hardware tools, manufacturing execution systems, or agentic AI systems for R&D. The intern will own a project from scoping through production, working across full-stack engineering, infrastructure, and product development in a fast-paced, ambiguous environment.

Deploy, validate, and debug accelerator-based systems in large-scale datacenters. Diagnose issues across hardware, firmware, drivers, Linux, and networking; coordinate updates; perform root-cause analysis; build diagnostics and monitoring; create deployment documentation; and improve scalable deployment processes with customers and cross-functional engineering teams.

Own end-to-end test strategy and systems for AI hardware, covering silicon, firmware, boards, servers, racks, validation, and production. Design scalable test frameworks, regression gates, diagnostics, and pass/fail criteria; review domain test plans; lead cross-functional failure triage and root-cause analysis; improve screening and production tests. Partner with test infrastructure and manufacturing teams, including international travel to Taiwan.

Lead deployment, installation, bring-up, validation, and customer acceptance of accelerator-based datacenter systems. Diagnose hardware, firmware, Linux, driver, and networking issues; perform root-cause analysis; develop deployment tooling and diagnostics; and coordinate firmware updates and hotfixes. Collaborate with engineering and sustaining teams to improve reliability and minimize downtime. The role requires up to 30% domestic and international travel.

Designs and executes automated supercomputing test suites for inference server hardware and software. Responsibilities include testing boot, system management, workloads, performance, and fault scenarios; analyzing metrics and hardware logs; debugging failures; collaborating with engineering and ODM teams; maintaining portable testing infrastructure; documenting test results; and improving test processes.

Build software-defined infrastructure for hybrid HPC clusters supporting ASIC simulation, synthesis, emulation, and CI. Design orchestration layers, infrastructure control planes, workload migration systems, and large-scale observability platforms with telemetry, tracing, alerting, synthetic testing, and fault injection. The role requires production-grade systems programming, infrastructure as code, cloud and bare-metal expertise, and the ability to debug complex hardware-software environments while mentoring engineers.

Lead PCBA design-for-manufacturing reviews from early design through production release. Identify and close manufacturability risks, establish DFM rules and documentation, support prototype and NPI builds, improve yield and cost, and enhance testability and inspection coverage. Collaborate with electrical, mechanical, test, manufacturing, and contract manufacturing teams. Apply AI and automation to technical reporting, issue tracking, documentation, and engineering data analysis.

Train and post-train frontier models for engineering tasks, owning the post-training stack end to end. Build reinforcement-learning environments and verifiable reward systems with ASIC, kernel, and supercomputing engineers; develop custom data mixes, benchmarks, and specialized production models. Optimize RL systems for speed and cost while validating rollouts and performance metrics. The role is fully in person in San Jose.

Design, develop, maintain, and test simulations for custom AI inference hardware. Collaborate on hardware-software co-design, influence architecture, validate hardware documentation, build debugging tools, and support software development on simulated chips. Work includes integrating simulated chips and hosts, enabling kernel driver testing, validating multi-chip scaling, and debugging early software deliverables.

Designs and develops high-power data center chassis and enclosures from concept through production. Responsibilities include mechanical design, collaboration with internal teams and JDM partners, tooling development, manufacturability optimization, shock and vibration compliance, cooling requirements, and production readiness. The role requires translating industrial design concepts into durable, cost-effective mechanical solutions.

Build agentic systems that accelerate hardware and software engineering across kernels, ASIC, hardware, and production teams. Develop LLM agents, tool-calling workflows, MCP integrations, sandboxed execution environments, evaluation systems, and internal products. Own projects end to end, from identifying bottlenecks through deployment and adoption measurement. Work closely with founders and cross-functional engineering teams on high-impact special projects involving infrastructure, data pipelines, simulators, compilers, profilers, and real hardware.

Build agentic harnesses, LLM agents, and full-stack internal products that accelerate hardware and software production. Embed with kernels, ASIC, hardware, and production teams to identify bottlenecks, deliver tools from concept through deployment, design evaluations, measure adoption, and support critical founder-led projects. The role requires strong product judgment, end-to-end ownership, comfort with ambiguity, and practical experience shipping AI tooling used by real users.

Build and deploy LLM agents, agentic harnesses, evaluation systems, and execution environments that accelerate hardware engineering. Partner with kernels, ASIC, hardware, production, and founder teams to identify bottlenecks and deliver reliable internal tools. Own full-stack products, infrastructure, data pipelines, tool integrations, and adoption measurement from concept through deployment. Work across ambiguous, high-priority projects in a fully in-person, fast-paced AI hardware environment.

Build agentic tools and internal software that accelerate hardware, ASIC, kernel, production, and engineering workflows. Responsibilities include developing LLM agents with tool-calling and MCP, shipping full-stack products, creating data pipelines and infrastructure, designing evaluations, measuring adoption, and tackling high-impact special projects with founders. The role requires strong product judgment, end-to-end ownership, comfort with ambiguity, and a willingness to work fully in person and across disciplines.

Build agentic harnesses, execution environments, and internal tools that accelerate ASIC, hardware, kernel, production, and engineering workflows. Develop LLM agents using tool-calling and MCP, integrate sandboxed simulators, EDA flows, compilers, profilers, and hardware, and ship full-stack products with supporting infrastructure and data pipelines. Design evaluations, measure adoption, analyze failures, and partner directly with founders on high-impact technical projects.

Build agentic systems that accelerate hardware engineering and production workflows. Responsibilities include developing LLM agents with tool-calling and MCP, creating sandboxed execution environments connected to simulators, EDA flows, compilers, profilers, and hardware, shipping internal products and infrastructure, designing evaluations, measuring adoption, and partnering with kernels, ASIC, hardware, production, and founding teams on high-impact projects.

Build agentic tools and internal products that accelerate hardware development. Embed with kernels, ASIC, hardware, and production teams to identify bottlenecks, develop LLM agents using tool-calling and MCP, ship full-stack interfaces and data pipelines, design evaluations, measure adoption, and execute special projects with company founders. The role requires end-to-end ownership, product judgment, strong software skills, and comfort working across ambiguous, time-sensitive problems.

Build agentic harnesses, LLM-powered tools, and full-stack internal products that accelerate hardware and software development. Embed with kernels, ASIC, hardware, production, and special-project teams to identify bottlenecks, own solutions end to end, integrate agents through tool-calling and MCP, build data pipelines and infrastructure, and measure adoption through evaluations. The role involves founder-led special projects, rapid work across disciplines, and fully in-person collaboration in San Jose.

Own payroll and benefits accounting close processes, including accruals, reconciliations, journal entries, reporting, tax compliance, internal controls, documentation, and payroll system configuration. Partner with People Operations and Finance to resolve discrepancies across HRIS, payroll, benefits, and ERP systems. Support state registrations, tax filings, year-end W-2 processes, audits, and system scaling across entities and jurisdictions.