Internal Acceleration, Research Engineer (Production)

Etched
San Jose, CA
On-site

Who this role is best for

Strong fit for engineers who build reliable systems and have experience with agentic workflows, working in San Jose with a fully in-person team on hardware and AI infrastructure.

Best fit for

  • Candidates with experience in building agents for multi-step engineering tasks and a background in distributed systems or developer tooling
    — “Have built agents for complex, multi-step tasks that people depend on, beyond calling an API”
  • Individuals who thrive in ambiguity and can own problems end to end, with a focus on product sense and design
    — “engineers who thrive on ambiguity, have real product sense, and want to own problems end to end”
  • Software engineers with a track record of shipping end-to-end tools that are relied upon by teams daily
    — “own each one from first idea to a tool engineers rely on every day”

Things to consider

  • The role demands a high level of autonomy and problem ownership, with no fixed boundaries between engineering and research
    — “We do not have boundaries between engineering and research”
  • Candidates must be prepared for a non-traditional work arrangement with time-sensitive and business-critical responsibilities
    — “This role will not be a 9-5, and the ideal candidate is excited about that”

How to stand out

  • Highlight experience with building and shipping reliable systems in fast-moving environments
    — “Have at least 1-5+ years of experience building and shipping software end to end”
  • Showcase your ability to design and implement evaluation frameworks for AI tools
    — “Design evals and track adoption so we double down on the tools that matter”
  • Emphasize your background in long-context management and execution environments for agents
    — “Build execution environments where agents can verify their own work”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Company

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

What success looks like

  • embed with production team to find and own bottlenecks
  • build and deploy LLM agents
Typical background
1-5+ years of experience building and shipping software end to endbackground in building reliable systems

Skills & requirements

Required

Software EngineeringDistributed SystemsLLM AgentsExecution Environments

Preferred

Chip DevelopmentHardwareManufacturing

Stack & domain

Software EngineeringDistributed SystemsExperiment InfrastructureDeveloper ToolingLLM AgentsExecution EnvironmentsEvalsProblem-solvingProduct SenseAttention To DetailAIHardwareInference

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 production 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 production 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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