Stateside Spec Engineering jobs in the United States

Etched

Inference Software Engineer

San Jose, CA · On-site · Unspecified

Discipline
Software
Industry
Semiconductor

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Inference software engineer role focused on software/runtime for AI inference; closely aligned with hardware/software interface but primarily software responsibilities in US-based San Jose office.

Relocation offered

Required

  • C++
  • Rust
  • distributed systems
  • Linux internals
  • accelerator architectures
  • PyTorch or JAX
  • non-standard accelerator hardware
  • performance profiling

Preferred

  • MoE transformers
  • kernel/user-space networking stacks
  • SIMD optimizations
  • MoE architectures
  • distributed systems concepts

Benefits

  • medical
  • dental
  • vision
  • pension/retirement not specified
  • wellness benefits
  • lunch in office

Employer description

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.

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