Internal Acceleration, Research Engineer (Hardware)
- Salary
- $150K - $400K
- Level
- Junior
- Work type
- On-site · San Jose
- Visa
- Not stated
Open. First seen 15 October 2026.
The team: Software HIRES STEADILY
This role is one of 34 open in Software. 11 were posted in the last 30 days and the oldest in November: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Linux (16 of 34), Python (15 of 34), Embedded Systems (13 of 34), C++ (12 of 34), Rust (12 of 34), LLM (10 of 34), C (9 of 34)
OTHER ROLES ON THIS TEAM
- Internal Acceleration, Research Engineer (Production) posted Oct 15
- Internal Acceleration, Research Engineer (ASIC) posted Oct 15
- Internal Acceleration, Engineer (Production) posted Oct 15
- Internal Acceleration, Engineer (Hardware) posted Oct 15
- Internal Acceleration, Engineer (ASIC) posted Oct 15
- Internal Acceleration, Research Engineer (Kernels) posted Oct 15
- Internal Acceleration, Engineer (Kernels) posted Oct 15
- Applied Engineer, Hardware posted Oct 7
- Fleet Software Lead posted Oct 7
- Node Systems Lead posted Oct 7
- Network Security Engineer posted Jun 25
- Data Center Engineer posted Jun 25
- Security Engineer (Remote) posted Jun 22
- Emulation Engineer, Hardware Prototyping (HAPS) posted Jun 1
- Chip Simulation Software Intern posted May 19
- Embedded Software Engineer posted May 19
- Firmware Engineer posted May 12
- Technical Program Manager, Infrastructure posted Apr 17
- IT Engineer posted Feb 19
- Developer Experience Engineer posted Feb 19
- Security Engineer posted Feb 18
- Firmware Intern posted Feb 7
- Infrastructure Software Engineer posted Jan 20
- Kernel Driver Software Engineer posted Jan 14
- Firmware Engineer (Taiwan) posted Oct 29
- Supercomputing Software Engineer (Taiwan) posted Oct 29
- Supercomputing Test Software Engineer (Taiwan) posted Oct 29
- Supercomputing Engineer, Fleet Software posted Jun 18
- Emulation Software Engineer posted Jan 31
- Inference Software Engineer posted Jan 16
- Senior Firmware Engineer posted Dec 4
- Firmware Engineer posted Dec 4
- Machine Learning Research Engineer posted Nov 13
From the team and dates on Etched's own job board.
About the role
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.
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