Gate-level SigEM/SEB/FIT CAD Engineer
Apple · Austin, TX · Mid Level · Manufacturing and hardware engineering · posted yesterday
Apple · Seattle, WA · posted 19 days ago
By AtiveSite · Published 07/11/2026 · Updated 08/11/2026 · Every figure is linked to its source below.
| Employer | Apple |
|---|---|
| Location | Seattle, Washington |
| Field | Technology › Data, analytics and AI |
| Level | Mid Level |
| Source category | Data and Analytics |
| Posted | 2026-10-20 (19 days ago) |
| Work arrangement | On-site at the location listed |
| Pay | Not published in the source listing |
The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple's hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products.
The On-device ML Performance team has the responsibility to analyze latency, memory, power and numerical correctness of the latest machine learning models running on Apple SoC's, and to make Apple's ML software stack take full advantage of the capabilities in Apple's ML accelerators. The work from this cross functional team enables model developers' decisions to optimize performance via advanced techniques such as quantization, sparsity, performance and accuracy tradeoffs. The work of this team impacts all new Apple HW and ML Inference on them.
Our group is looking for an On-device ML Performance Engineer, with technical expertise in computer architecture, performance, memory, power, ML model architectures and on-device ML inference. The role entails deep analysis of ML inference from the SW stack and low level drivers to HW debug involving CPU, GPU, Apple Neural Engine, system memory and power.
Description
As an engineer in this role, you will be primarily focused on analyzing and optimizing the performance of the latest ML models on the latest iPhones and Mac's. You will work with models created by the most popular ML frameworks (PyTorch, MLX, etc) and will analyze the inference of those models on device to ensure the stack achieves full machine performance on Apple Silicon. The role also includes scripting, coding, and generation of utilities and debug tools to extract, analyze, and report performance and power related metrics for Apple HW. The ideal candidate will have a passion for ML model architectures and ML inference, deep knowledge of GPU and CPU, computer architecture and memory, compilers and HW drivers.
Responsibilities:
Driving the on-device performance analysis of Apple SoC's and ML SW stack across a wide range of Apple internal or open-source ML models
Optimize model conversion, compilation and on-device inference for Apple SoC's, achieving objectives such as performance, memory, and energy efficiency
Developing tools and scripts to generate and analyze ML performance data
Work across multiple teams and organizations to support the design and delivery of best in class on-device ML hardware and software stack
Generate and present ML performance data to internal and external teams and stakeholders
Preferred Qualifications
Masters or PhDs in Computer Science or relevant disciplines.
Experience with Apple's CoreML, MPS Graph, Metal Performance Shader's or MLX frameworks
Experience with any on-device ML stack, such as TFLite, ONNX, ExecuTorch, etc.
Experience with any ML authoring framework (PyTorch, TensorFlow, JAX, etc.).
Experience with Apple's App development framework such as Xcode, Swift, Objective-C
Experience with any compiler stack (MLIR/LLVM/TVM etc.)
Minimum Qualifications
Experience with ML inference, quantization, performance and accuracy
Familiarity and experience with the most popular ML architectures (e.g. LLM's, Diffusion models, CNN's)
A passion to explore and learn about the latest advances in ML model design and architecture, particularly as related to model implementation on HW and on-device inference
Familiarity with Operating Systems, embedded systems, and CPU/GPU HW architectures
Highly proficient in Python/C++ and shell scripting
Familiarity with Linux or macOS
Exceptional clarity in verbal and written communication, including the ability to present and lead discussions in larger groups
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Field: Technology Sub-niche: Data, analytics and AI All jobs at Apple Jobs in Washington Jobs in Seattle, WA Seattle city guide Washington state guide King County economy
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This is a Mid Level role in the Technology field (Data, analytics and AI) at Apple. Mid-level roles usually expect some years of relevant experience and the ability to work with limited supervision.
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.
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The job is in Seattle, WA. Below is what the official statistics say about living and working there.
How Seattle compares. Among the 80 largest places in Washington, Seattle is #1 by population, #76 for homeownership (#1 = highest), #8 for college degrees (#1 = most), #8 for remote work (#1 = most). Its county, King County, is #1 of 39 counties for average pay ($132,279).
Seattle has 754,195 residents (ACS 2020–2024), about 9.6% of the population of Washington. It covers 84 square miles of land, which works out to roughly 8,979 people per square mile. The median age is 35.6, 7% younger than the state median (35.6 against 38.3).
The median gross rent is $2,030 a month (rent plus utilities), 15% above the state median ($2,030 against $1,760). Over a year that is 19.7% 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 $938,600, which is 7.6 times the median household income ($123,860); a ratio above 5 usually means buying is out of reach without savings or a second income. 43.7% of households own their home, 31% below the state average (43.7% against 63.8%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.
The Seattle-Tacoma-Bellevue, WA metropolitan area has 2,086,210 jobs in the BLS wage survey, and the median pay across all occupations is $72,610 a year, 42% above the national median ($72,610 against $50,980). The biggest occupation groups are office and administrative support (212,900 jobs, median $59,660); business and financial operations (201,160 jobs, median $101,950); computer and mathematical (194,970 jobs, median $156,000). The area is most specialised in computer and mathematical (2.8 times) and architecture and engineering (1.4 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($168,110) and computer and mathematical ($156,000). In 2026M09 the unemployment rate of King County was 4.8%. 74.0% of residents aged 16 and over are in the labour force. The city lies in King County; its jobs, pay by industry and GDP are on the county page.
Among workers, 36.6% drive alone, 11.9% use public transit, 8.1% walk, 34.8% work from home. 13.9% of workers commute 45 minutes or more, 18% below the state average (13.9% against 16.9%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.
68.5% of adults aged 25 and over hold a bachelor's degree or higher, 73% above the state share (68.5% against 39.6%). 20.1% of residents were born outside the United States, 31% above the state share (20.1% against 15.4%). The poverty rate is 9.9%, about the same as the state rate (9.9% against 9.9%).
The warmest month is Aug, averaging 65°F (18.3°C), and the coolest is Dec at 39°F (3.8°C). About 1,230 mm (48 inches) of precipitation falls in a year; Nov is the wettest month (188 mm) and Jul the driest (19 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: Mercer Island (7 miles, rent 23% higher); Bainbridge Island (7 miles, rent 8% higher); Kirkland (9 miles, rent 18% higher); Bellevue (9 miles, rent 27% higher). Rent differences are against Seattle; use the Compare tab to put any two cities side by side.
Full guide to Seattle →Washington guideAll jobs in Seattle
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 Seattle, WA 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 ⇅ |
|---|---|---|---|---|---|---|---|
| Seattle, WA | 0 mi | $2,030 | $938,600 | $123,860 | 13.9% | n/a | Jobs |
| Mercer Island, WA | 7 mi | $2,502 | $2,000,001 | $219,069 | 8.7% | n/a | — |
| Bainbridge Island, WA | 7 mi | $2,194 | $1,155,900 | $172,188 | 37.2% | n/a | — |
| Kirkland, WA | 9 mi | $2,401 | $1,115,400 | $150,414 | 10.8% | n/a | — |
| Bellevue, WA | 9 mi | $2,572 | $1,340,300 | $165,576 | 11.1% | n/a | Jobs |
| Shoreline, WA | 10 mi | $1,985 | $811,100 | $112,751 | 17.1% | n/a | — |
| Burien, WA | 10 mi | $1,782 | $638,800 | $91,318 | 15.5% | n/a | — |
| Kenmore, WA | 10 mi | $1,949 | $920,800 | $139,764 | 19.3% | n/a | — |
| Tukwila, WA | 10 mi | $1,898 | $489,000 | $78,381 | 14.6% | n/a | — |
| Redmond, WA | 12 mi | $2,409 | $1,167,800 | $162,560 | 9.8% | n/a | Jobs |
| Renton, WA | 12 mi | $1,998 | $672,600 | $100,432 | 22.0% | n/a | Jobs |
| Mountlake Terrace, WA | 12 mi | $2,004 | $667,300 | $107,687 | 17.8% | n/a | — |
| SeaTac, WA | 12 mi | $1,660 | $519,700 | $81,104 | 14.7% | n/a | — |
| Bothell, WA | 13 mi | $2,346 | $925,100 | $140,427 | 16.6% | n/a | — |
| Edmonds, WA | 13 mi | $1,903 | $890,100 | $122,449 | 16.7% | n/a | — |
| Bothell West, WA | 14 mi | $2,511 | $824,900 | $153,449 | 29.0% | n/a | — |
| Lynnwood, WA | 15 mi | $1,742 | $686,900 | $77,704 | 19.6% | n/a | Jobs |
| Sammamish, WA | 15 mi | $2,857 | $1,407,300 | $239,690 | 18.2% | n/a | — |
| Issaquah, WA | 15 mi | $2,590 | $963,000 | $154,669 | 12.8% | n/a | — |
| Fairwood, WA | 15 mi | $2,233 | $733,200 | $122,134 | 28.0% | 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 (366) Software engineering (1880) Cloud, IT and infrastructure (504) Product management (412)
How far Seattle, WA 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 ⇅ |
|---|---|---|
| Seattle, WA | 0 mi | 754,195 |
| San Francisco, CA | 684 mi | 830,235 |
| San Jose, CA | 714 mi | 990,138 |
| Los Angeles, CA | 962 mi | 3,857,263 |
| Denver, CO | 1,024 mi | 718,877 |
| San Diego, CA | 1,059 mi | 1,389,526 |
| Phoenix, AZ | 1,108 mi | 1,642,323 |
| Oklahoma City, OK | 1,524 mi | 697,125 |
| Fort Worth, TX | 1,658 mi | 963,194 |
| Dallas, TX | 1,681 mi | 1,307,930 |
| Chicago, IL | 1,732 mi | 2,711,226 |
| Austin, TX | 1,769 mi | 979,539 |
| San Antonio, TX | 1,784 mi | 1,479,835 |
| Indianapolis, IN | 1,869 mi | 885,860 |
| Houston, TX | 1,888 mi | 2,328,253 |
| Columbus, OH | 2,009 mi | 914,802 |
| Charlotte, NC | 2,283 mi | 903,844 |
| Philadelphia, PA | 2,374 mi | 1,579,706 |
| New York, NY | 2,407 mi | 8,483,844 |
| Jacksonville, FL | 2,452 mi | 977,670 |
| City ⇅ | Straight-line distance ⇅ | Open jobs ⇅ |
|---|---|---|
| Bellevue, WA | 9 mi | 75 |
| Redmond, WA | 12 mi | 3 |
| Lynnwood, WA | 15 mi | 3 |
Apple is the employer in this listing. See all its open jobs here →
Company description (from The Muse): Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
size: Large Size; industries: Consumer Goods & Services, Information Technology, Software, Technology; locations on The Muse: Cupertino, CA.
It is among the 200 largest US-headquartered employers in our list, with about 166,000 employees worldwide (year not stated). Company page with headquarters, state economy and official links →
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What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".
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A mid level role in technology (data, analytics and ai) listed 19 days ago. The full description is on this page and on The Muse.
Seattle, WA.
Use the "View this job and apply on The Muse" 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 Seattle is $2,030 a month and median household income $123,860 (ACS 2020–2024).
It was posted on 2026-10-20 (19 days ago). Jobs older than 90 days are not shown.
Yes: browse data, analytics and ai jobs in Washington.
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