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Etched

Inference Software Engineer

San JoseOnsite · United States
FullTime · Architecture
POSTED 17 JUN 2025VERIFIED 1H AGO
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Role
515 days opentrue age
Past the 122d median close
Posted 17 Jun 2025 · n=18
Payats field
$150k–400k▼ 4.3% since first seen
▲ +38% vs market median $200k
$150k$400k
Market p25–p75
$161k–$240k
Etched p25–p75
$250k–$265kn=32
H-1B median · Software engineering
$196k
SF Bay Area · n=2174 · 365d to 12 Nov
CompanyEtched →
115open roles
Opened · 30d
+8
Closed · 30d
−9
Signal
● Steady−1 net
14d of snapshots · 30d window
Market
37,459open · Software engineering
Opened · 7d
+3,90910% of open
All software engineering
74,642open
All tracked boards · live 15 Nov · n=37,459
Visa
5H-1B LCAs · FY26
Median wage
$174k
LCAs FY26 · n=5 · to 2026-06-29
Node.jsRustC++PyTorchDistributed systems

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.

Key responsibilities

Support porting state-of-the-art models to our architecture. Help build programming abstractions and testing capabilities to rapidly iterate on model porting.

Build, enhance, and scale our runtime, including multi-node inference, intra-node execution, state management, and robust error handling.

Optimize routing and communication layers using our collectives.

Utilize performance profiling and debugging tools to identify bottlenecks and correctness issues.

You may be a good fit if you have

Proficiency in C++ or Rust.

Understanding of performance-sensitive or complex distributed software systems like Linux internals, accelerator architectures (e.g. GPUs, TPUs), Compilers, or high-speed interconnects (e.g. NVLink, InfiniBand).

Familiarity with PyTorch or JAX.

Ported applications to non-standard accelerator hardware or hardware platforms.

Strong candidates may also have experience with (Nice-to-have qualifications)

Developed low-latency, high-performance applications using both kernel-level and user-space networking stacks.

Deep understanding of distributed systems concepts, algorithms, and challenges, including consensus protocols, consistency models, and communication patterns.

Solid grasp of Transformer architectures, particularly Mixture-of-Experts (MoE).

Built applications with extensive SIMD (Single Instruction, Multiple Data) optimizations for performance-critical paths.

Benefits

Medical, dental, and vision packages with generous premium coverage

$500 per month credit for waiving medical benefits

Housing subsidy of $2.5k 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 + dinner in our office

Unlimited compute budget subject to ROI justification

How we’re different

Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. 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.

Source · EtchedFirst seen 2 Nov1 editsOriginal ↗