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Etched · San Jose, CA · posted 293 days ago
By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.
| Employer | Etched |
|---|---|
| Location | San Jose, California |
| Field | Technology › Software engineering |
| Level | not stated |
| Source category | Software, Software |
| Posted | 2026-01-20 (293 days ago) |
| Work arrangement | On-site at the location listed |
| Pay | Not published in the source listing |
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.
Job Summary
Building cutting-edge model-specific ASICs requires crafting custom infrastructure and toolchains to support ultra-fast, reliable, and scalable development across the stack - from simulation to silicon. We build this infrastructure as software - and we engineer it with the same best practices we apply to our products. We use the same rigor, design discipline, and quality standards and testing as we do to our ASIC, software, and platform.
You will lead the development and adoption of next-generation infrastructure tooling, enabling Etched ASIC, Software, and Platform engineers to iterate faster, build more reliably, and push the boundaries of AI performance. This includes building and scaling our hybrid high-performance compute (HPC) cluster, optimized for massively parallel CI, EDA workflows, Emulation, and hardware-aware job execution.
You’ll also architect and implement a state-of-the-art observability stack with LLM integration and a strong emphasis on streaming health and performance telemetry, log aggregation, distributed tracing, insight generation, synthetic testing, and smart alerting - across CI pipelines, simulation clusters, and service endpoints.
This role demands a strong software engineering mindset, quality instincts, and deep understanding of systems. It’s not just about writing scripts - it’s about writing code that builds and manages infrastructure with precision, repeatability, and intent.
Key responsibilities
Design and build the orchestration layers that drive our hybrid high-performance clusters—enabling simulation, synthesis, and continuous integration of AI ASICs at unprecedented scale.
Develop and maintain a fully programmable infrastructure control plane to ensure reproducibility, auditability, and rapid iteration across the entire stack.
Create tools and abstractions that empower engineers to harness massive parallelism without worrying about the underlying complexity..
Prototype and execute workload orchestration and migration strategies between on-premise and cloud environments, balancing performance, storage availability and replication, uptime, and cost across heterogeneous hardware and compute backends.
Implement real-time telemetry, tracing systems that surface insights from millions of metrics, enabling proactive debugging and system optimization.
Build a full observability stack that includes dashboards, alerting, automated responses, and a synthetic testing framework to proactively test infrastructure performance and reliability for various application and data flows, ensuring we remain proactive against issues impacting development and productivity workflows.
Representative projects
Design and deploy a fully automated, scalable hybrid HPC cluster, combining bare-metal servers and switches with cloud instances, provisioned through MaaS and orchestrated via SLURM and Kubernetes, optimized for mixed EDA workloads and parallel CI pipelines.
Develop a real-time observability system for ASIC toolchain jobs and distributed builds, integrating Prometheus, Grafana, and VictoriaMetrics with streaming telemetry, tracing, and alerting to detect performance regressions before they hit silicon.
Architect and implement a programmable infrastructure-as-code control plane, using Terraform, Ansible, and Puppet, to version, audit, and redeploy every layer of Etched's development stack with deterministic reproducibility.
Create a zero-downtime interactive development environment that provisions and connects Jupyter and VS Code sessions to GPUs and high-memory nodes via a secure zero-trust network, abstracting away cluster state and machine failures.
Prototype and evaluate dynamic workload migration strategies between on-premise and cloud environments to optimize for latency, reliability, and cost across simulation and synthesis pipelines.
Design a synthetic testing and fault injection framework to validate the behavior of infrastructure under high-load, degraded hardware, and intermittent network partitions - before they happen in production.
You may be a good fit if you
Are a systems-minded software engineer who loves building foundational platforms, working close to the metal and cloud, solving high-leverage problems at scale.
Are a deeply technical engineer who treats infrastructure as a software problem - prioritizing clean abstractions, version control,small change lists, easy roll backs, testing, and long-term maintainability over ad hoc configuration.
Have strong programming skills in languages such as Python, Go, Rust, and C++, and are comfortable building production-grade tooling.
Possess expert-level knowledge of Linux, virtualization, containerization, and CI/CD pipelines, with a deep understanding of how to debug, optimize, and scale complex systems.
Are familiar with Infrastructure as Code tools like OpenTofu, Ansible, or Puppet, and enjoy designing declarative, reproducible infrastructure systems.
Understand and use PromQL and other telemetry/query languages and have used LLM to extract insight from real-time metrics, and know how to architect and tune observability stacks.
Have a track record of debugging and resolving difficult hardware-software integration problems across bare-metal systems, networks, and distributed workloads.
Can lead and mentor technical teams, guiding design decisions and helping others develop sound engineering instincts.
Have 8+ years of experience in infrastructure engineering, systems programming, or backend software development - ideally in environments where performance, scale, or hardware interaction mattered.
Are driven by curiosity, take initiative, and have an innate sense of ownership — you thrive in uncharted territory, design for edge cases, and love making systems more powerful, reliable, and elegant.
Strong candidates may also have experience with
Familiarity with Bazel build system
Deep understanding of ASIC development flows, especially those involving Synopsys, Cadence, and Verilator, including how EDA tools interact with infrastructure for simulation, synthesis, and verification.
Hands-on experience architecting systems with AWS, GCP, or Azure, including hybrid on-prem/cloud deployments, workload migration strategies, and cloud-native orchestration tooling.
Experience monitoring, provisioning, and debugging bare-metal servers, network hardware, and high-performance storage systems in rack-scale environments.
Comfortable in profiling and optimizing compute environments for single-threaded latency, memory-bound workloads, or I/O throughput, especially in the context of simulation or CI performance.
Proficiency building or operating telemetry systems at scale using Prometheus, Grafana, Loki, VictoriaMetrics, and tools for distributed tracing, log aggregation, and real-time alerting across heterogeneous mediums (SMS, email, push alerts, etc.)
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 + 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.
Field: Technology Sub-niche: Software engineering All jobs at Etched Jobs in California Jobs in San Jose, CA San Jose city guide California state guide Santa Clara County economy
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This is a — role in the Technology field (Software engineering) at Etched.
We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.
Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
This is editorial guidance, not information from the employer.
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The job is in San Jose, CA. Below is what the official statistics say about living and working there.
How San Jose compares. Among the 145 largest places in California, San Jose is #3 by population, #30 for household income (#1 = highest), #110 for rent (#1 = cheapest), #48 for college degrees (#1 = most). Its county, Santa Clara County, is #1 of 58 counties for average pay ($197,043).
San Jose has 990,138 residents (ACS 2020–2024), about 2.5% of the population of California. It covers 178 square miles of land, which works out to roughly 5,564 people per square mile. The median age is 38.2, about the same as the state median (38.2 against 37.9).
The median gross rent is $2,669 a month (rent plus utilities), 31% above the state median ($2,669 against $2,036). Over a year that is 21.9% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $1,233,200, which is 8.4 times the median household income ($146,427); a ratio above 5 usually means buying is out of reach without savings or a second income. 55.8% of households own their home, about the same as the state average (55.8% against 55.9%).
The San Jose-Sunnyvale-Santa Clara, CA metropolitan area has 1,134,970 jobs in the BLS wage survey, and the median pay across all occupations is $84,050 a year, 65% above the national median ($84,050 against $50,980). The biggest occupation groups are computer and mathematical (149,970 jobs, median $186,320); management (115,110 jobs, median $210,750); business and financial operations (94,210 jobs, median $125,240). The area is most specialised in computer and mathematical (3.9 times) and architecture and engineering (2.5 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($210,750) and legal ($195,190). In 2026M09 the unemployment rate of Santa Clara County was 4.2%. 67.6% of residents aged 16 and over are in the labour force. The city lies in Santa Clara County; its jobs, pay by industry and GDP are on the county page.
Among workers, 62.9% drive alone, 2.4% use public transit, 1.8% walk, 20.3% work from home. 15.3% of workers commute 45 minutes or more, 21% below the state average (15.3% against 19.4%).
47.3% of adults aged 25 and over hold a bachelor's degree or higher, 28% above the state share (47.3% against 37.1%). 42.0% of residents were born outside the United States, 56% above the state share (42.0% against 27.0%). The poverty rate is 8.1%, 32% below the state rate (8.1% against 12.0%).
The warmest month is Aug, averaging 68°F (19.8°C), and the coolest is Jan at 47°F (8.3°C). About 510 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (114 mm) and Jul the driest (0 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Closest cities in this guide: Campbell (8 miles, similar rent); Los Gatos (9 miles, rent 22% higher); Santa Clara (10 miles, rent 13% higher); Milpitas (10 miles, rent 17% higher). Rent differences are against San Jose; use the Compare tab to put any two cities side by side.
Full guide to San Jose →California guideAll jobs in San Jose
These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.
Places within 50 miles (straight line) of San Jose, CA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.
| Place ⇅ | Distance from the job city ⇅ | Median rent ⇅ | Median home value ⇅ | Median household income ⇅ | Commute 45+ min ⇅ | Rent as % of occupation pay ⇅ | Open jobs there ⇅ |
|---|---|---|---|---|---|---|---|
| San Jose, CA | 0 mi | $2,669 | $1,233,200 | $146,427 | 15.3% | n/a | Jobs |
| Campbell, CA | 8 mi | $2,737 | $1,617,000 | $145,268 | 10.4% | n/a | Jobs |
| Los Gatos, CA | 9 mi | $3,247 | $2,000,001 | $217,554 | 17.6% | n/a | — |
| Santa Clara, CA | 10 mi | $3,016 | $1,582,600 | $178,958 | 8.9% | n/a | Jobs |
| Milpitas, CA | 10 mi | $3,120 | $1,251,700 | $178,798 | 15.2% | n/a | Jobs |
| Saratoga, CA | 12 mi | $3,501 | $2,000,001 | $250,001 | 8.3% | n/a | — |
| Cupertino, CA | 13 mi | $3,501 | $2,000,001 | $234,707 | 9.1% | n/a | Jobs |
| Sunnyvale, CA | 13 mi | $3,039 | $1,801,800 | $186,170 | 9.0% | n/a | Jobs |
| Morgan Hill, CA | 15 mi | $2,474 | $1,210,200 | $163,920 | 32.9% | n/a | — |
| Fremont, CA | 15 mi | $2,933 | $1,403,800 | $181,506 | 23.6% | n/a | Jobs |
| Mountain View, CA | 16 mi | $3,062 | $1,927,000 | $189,917 | 9.3% | n/a | Jobs |
| Los Altos, CA | 16 mi | $3,501 | $2,000,001 | $250,001 | 8.3% | n/a | — |
| Los Altos Hills, CA | 18 mi | $3,501 | $2,000,001 | $250,001 | 18.0% | n/a | — |
| Newark, CA | 19 mi | $2,776 | $1,142,800 | $169,064 | 22.2% | n/a | Jobs |
| Palo Alto, CA | 19 mi | $3,484 | $2,000,001 | $231,101 | 8.2% | n/a | Jobs |
| East Palo Alto, CA | 21 mi | $2,244 | $1,102,600 | $113,493 | 9.7% | n/a | — |
| Menlo Park, CA | 22 mi | $3,239 | $2,000,001 | $210,025 | 11.5% | n/a | Jobs |
| Gilroy, CA | 24 mi | $2,301 | $1,027,400 | $133,107 | 32.4% | n/a | — |
| Atherton, CA | 24 mi | $3,501 | $2,000,001 | $250,001 | 7.0% | n/a | — |
| Union City, CA | 24 mi | $2,713 | $1,104,900 | $133,715 | 24.0% | n/a | — |
We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:
Cybersecurity (762) Data, analytics and AI (3719) Cloud, IT and infrastructure (1147) Product management (927)
How far San Jose, CA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.
| From ⇅ | Straight-line distance (miles) ⇅ | Population of that city ⇅ |
|---|---|---|
| San Jose, CA | 0 mi | 990,138 |
| San Francisco, CA | 73 mi | 830,235 |
| Los Angeles, CA | 296 mi | 3,857,263 |
| San Diego, CA | 407 mi | 1,389,526 |
| Phoenix, AZ | 604 mi | 1,642,323 |
| Seattle, WA | 714 mi | 754,195 |
| Denver, CO | 930 mi | 718,877 |
| Oklahoma City, OK | 1,354 mi | 697,125 |
| Fort Worth, TX | 1,414 mi | 963,194 |
| San Antonio, TX | 1,444 mi | 1,479,835 |
| Dallas, TX | 1,446 mi | 1,307,930 |
| Austin, TX | 1,459 mi | 979,539 |
| Houston, TX | 1,602 mi | 2,328,253 |
| Chicago, IL | 1,832 mi | 2,711,226 |
| Indianapolis, IN | 1,923 mi | 885,860 |
| Columbus, OH | 2,087 mi | 914,802 |
| Charlotte, NC | 2,270 mi | 903,844 |
| Jacksonville, FL | 2,337 mi | 977,670 |
| Philadelphia, PA | 2,497 mi | 1,579,706 |
| New York, NY | 2,550 mi | 8,483,844 |
| City ⇅ | Straight-line distance ⇅ | Open jobs ⇅ |
|---|---|---|
| Campbell, CA | 8 mi | 7 |
| Milpitas, CA | 10 mi | 15 |
| Sunnyvale, CA | 13 mi | 185 |
| Fremont, CA | 15 mi | 9 |
| Palo Alto, CA | 19 mi | 332 |
| Capitola, CA | 23 mi | 1 |
| Pleasanton, CA | 26 mi | 6 |
| Redwood City, CA | 27 mi | 48 |
| Belmont, CA | 30 mi | 2 |
| Alameda, CA | 39 mi | 38 |
| San Francisco, CA | 73 mi | 3,359 |
| Sacramento, CA | 90 mi | 56 |
Etched is the employer in this listing. See all its open jobs here →
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A private-sector role in technology (software engineering) listed 293 days ago. The full description is on this page and on the employer's page.
San Jose, CA.
Use the "View this job and apply on the employer's page" button. AtiveSite does not receive applications.
The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in San Jose is $2,669 a month and median household income $146,427 (ACS 2020–2024).
It was posted on 2026-01-20 (293 days ago). Jobs older than 90 days are not shown.
Yes: browse software engineering jobs in California.
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