Internal Acceleration, Research Engineer (Hardware)

Etched
San Jose, CA
On-site

Who this role is best for

Best suited to engineers with startup experience and a strong grasp of agent systems working in AI-native hardware development.

Best fit for

  • Engineers with a background in distributed systems or developer tooling
    — “Are a strong software engineer who has built reliable systems others depend on, such as distributed systems, experiment infrastructure, or developer tooling”
  • People who thrive in ambiguity and can drive problem-solving in unfamiliar domains
    — “Have high agency in unfamiliar domains. You find the real problem and drive it forward.”

Things to consider

  • The role requires a full-time commitment in San Jose with no remote flexibility implied
    — “We are a fully in-person team in San Jose (Santana Row)”
  • Candidates must be prepared to work on highly time-sensitive and business-critical projects
    — “The problems we solve are time-sensitive and business-critical”

How to stand out

  • Highlight experience in building end-to-end tools used by engineering teams daily
    — “Ship full-stack internal products from zero to one”
  • Emphasize your ability to design and implement execution environments for agents
    — “Build execution environments where agents can verify their own work”
  • Showcase your background in agent orchestration and failure analysis
    — “Have built agents for complex, multi-step tasks that people depend on, beyond calling an API”
  • Demonstrate your experience in measuring impact and driving product decisions based on data
    — “Measure what works. Design evals and track adoption so we double down on the tools that matter”
  • Position yourself as someone who can take on special projects directly with leadership
    — “Take on special projects directly with the founders”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Embedded with hardware team to find bottlenecks
  • Built and deployed LLM agents
Typical background
1-5+ years of experience building and shipping software

Skills & requirements

Required

Building And Shipping SoftwareLLM AgentsExecution EnvironmentsInternal Product DevelopmentEvaluation And Measurement

Preferred

Chip DevelopmentInfrastructureData EngineeringDevOpsStartup Experience

Stack & domain

Software EngineeringDistributed SystemsExperiment InfrastructureDeveloper ToolingLLM AgentsExecution EnvironmentsInternal ProductsData PipelinesInfrastructureDevOpsChip DevelopmentKernelsHardwareManufacturingFine-tuningRAGMulti-agent OrchestrationAmbiguity HandlingProduct SenseDesign TasteAttention To DetailProblem-solvingTeamworkLeadershipInnovationAI Native Hardware

About the role

Original posting from Etched via Ashby

JOB SUMMARY

Our Internal Acceleration team’s mandate is to build agents to accelerate the production of frontier tokens.

You’ll work directly with our founders and embed with our hardware team to build new agentic harnesses and operating systems to transform the way hardware is built in an AI native world. You’ll work on harnesses, tool use, context, and memory, execution environments, and evals that let agents conduct long-running engineering work that is useful.

This role is for engineers who thrive on ambiguity, have real product sense, and want to own problems end to end. It’s a whiteboard for future founders. The problems we solve are time-sensitive and business-critical. This role will not be a 9-5, and the ideal candidate is excited about that.

YOU MAY BE A GOOD FIT IF YOU

  • Have at least 1-5+ years of experience building and shipping software end to end, ideally at a fast-moving startup
  • Have built agents for complex, multi-step tasks that people depend on, beyond calling an API: tool design, long-context management, evals, and failure analysis.
  • Are a strong software engineer who has built reliable systems others depend on, such as distributed systems, experiment infrastructure, or developer tooling.
  • Use coding agents heavily, read their transcripts closely, and change the system when an agent is confidently wrong.
  • Have high agency in unfamiliar domains. You find the real problem and drive it forward.
  • Have product sense, design taste, and extreme attention to detail

KEY RESPONSIBILITIES

  • Embed with our hardware team to find the highest-leverage bottlenecks, and own each one from first idea to a tool engineers rely on every day.
  • Build and deploy LLM agents wired into our engineering workflows via tool-calling and MCP.
  • Build execution environments where agents can verify their own work, with sandboxed access to simulators, EDA flows, compilers, profilers, and real hardware.
  • Ship full-stack internal products from zero to one: the interfaces, data pipelines, and infrastructure that define how Etched builds.
  • Measure what works. Design evals and track adoption so we double down on the tools that matter and kill the ones that don’t.
  • Take on special projects directly with the founders, surfacing problems across the company and doing whatever it takes to hit critical milestones.

STRONG CANDIDATES MAY ALSO HAVE

  • Exposure to chip development, kernels, hardware, or manufacturing.
  • Infrastructure, data engineering, or DevOps experience
  • Fine-tuning, RAG over proprietary technical data, or multi-agent orchestration
  • Startup experience, especially through hypergrowth

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 those living within walking distance of the office
  • Relocation support for those moving to San Jose (Santana Row)
  • Various wellness benefits covering fitness, mental health, and more
  • Daily lunch and dinner in our office
  • Unlimited compute budget subject to ROI justification

BASE COMPENSATION RANGE

  • $150K – $400K+
  • Plus Significant Equity

HOW WE’RE DIFFERENT

Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.

We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

ABOUT ETCHED

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

Source: Etched careers (Ashby)

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