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  1. Home/
  2. Salaries/
  3. AI Supply Chain Optimization Engineer/
  4. San Jose

AI Supply Chain Optimization Engineer.

San Jose.

$199,000

median salary, 42% above the national average

$149,000 to $253,000. Last updated April 2026.

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Data points to own the conversation.

Here is what AI Supply Chain Optimization Engineers actually make in San Jose: $149,000 at the 25th percentile, $199,000 at the median, and $253,000 at the 75th. That is 42% above the national average. San Jose is the capital of Silicon Valley, home to Apple, Google, Adobe, and Cisco. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$149,000

per year

Median

$199,000

per year

75th Percentile

$253,000

per year

Where do you fall?

$149,000$253,000

Salary by experience

The gap between entry and lead level is typically $179,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$129,000

to $159,000

Mid (3-5 yrs)

$169,000

to $209,000

Senior (6-9 yrs)

$219,000

to $259,000

Lead (10+ yrs)

$249,000

to $308,000

Salary trend

+7% YoY
$152,000
2022
$162,000
2023
$174,000
2024
$186,000
2025
$199,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $86,000 to the total package.

Base

$199,000

Equity

$52,000

Bonus

$22,000

Signing

$12,000

Estimated total: $285,000

How San Jose compares

San Jose, CA

$199,000

Cost of living: 38% above average

National Average

$140,000

San Jose is $59,000 above

AI Supply Chain Optimization Engineer salary by city

AI Supply Chain Optimization Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$199,000$149,000 – $253,0001.38x$144,000
San Francisco, CA$197,000$147,000 – $250,0001.35x$146,000
Honolulu, HI$187,000$141,000 – $238,0001.30x$144,000
New York, NY$186,000$140,000 – $237,0001.28x$145,000
Boston, MA$176,000$132,000 – $224,0001.22x$144,000
Jersey City, NJ$171,000$129,000 – $218,0001.20x$143,000
Seattle, WA$170,000$128,000 – $216,0001.24x$137,000
Washington DC, DC$170,000$127,000 – $216,0001.25x$136,000
Los Angeles, CA$169,000$126,000 – $214,0001.18x$143,000
Arlington, VA$167,000$126,000 – $213,0001.22x$137,000

See all 83 cities for AI Supply Chain Optimization Engineer →

Salary by role in San Jose

Salary comparison by role in San Jose
RoleMedianRange
Distinguished Engineer$451,000$342,000 – $574,000
Chief AI Officer$419,000$311,000 – $541,000
Chief Technology Officer$412,000$306,000 – $540,000
AI Analytics Engineer$200,000$152,000 – $260,000
AI Supply Chain Optimization Engineer$199,000$149,000 – $253,000
AI UX Designer$199,000$152,000 – $258,000
AI Audio Engineer$199,000$149,000 – $253,000
AI Operations Research Engineer$199,000$152,000 – $252,000

What you should know

If you are interviewing for AI Supply Chain Optimization Engineer roles in San Jose, here is what you are walking into. San Jose is the capital of Silicon Valley, home to Apple, Google, Adobe, and Cisco. The city consistently ranks among the highest paying metros in the country for technology roles. Competition for talent is fierce, with employers offering aggressive compensation packages including equity, signing bonuses, and premium benefits to attract and retain engineers. Compensation reflects the ability to apply ML to complex supply chain problems including demand forecasting, inventory optimization, and logistics network design. Engineers who can reduce supply chain costs by measurable percentages through AI-driven decisions earn premiums. Experience with operations research combined with ML provides the most valued skill combination.

Junior supply chain AI engineers start at $90,000 to $110,000. Mid-level engineers building production forecasting systems reach $130,000 to $158,000. Senior engineers designing network-wide optimization platforms earn $165,000 to $200,000. Directors of supply chain AI at major retailers or manufacturers can reach $220,000 to $280,000. In San Jose, those numbers run higher. The cost of living here is 38% above average, and employers adjust to compete.

Base salary is not the full picture. Performance bonuses of 12% to 20% tied to cost reduction or service level improvements are common. Equity at supply chain tech companies adds $15,000 to $55,000 annually. Benefits at large retailers and manufacturers include comprehensive packages and product discounts. And on the tax side: california's top 13.3% state rate applies fully here. While gross salaries in San Jose are among the nation's highest, the tax burden means net pay may not stretch as far as expected. When someone quotes you $199,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Always negotiate equity alongside base salary. San Jose employers expect candidates to evaluate total compensation including RSUs, and leaving equity on the table is leaving money behind. The range for AI Supply Chain Optimization Engineers in San Jose runs from $149,000 to $253,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology

Interactive

Is your offer competitive?

Enter your AI Supply Chain Optimization Engineer offer to see where you stand in San Jose.

$

25th

$149,000

Median

$199,000

75th

$253,000

Considering a related role?

  • A AI Compliance Analyst in San Jose earns $198,000 (1% less)
  • The highest-paying role in San Jose is Distinguished Engineer at $451,000

Common questions.

Supply chain AI deals with cascading dependencies, long lead times, and the need to optimize across multiple objectives simultaneously (cost, service level, sustainability). The problems are inherently combinatorial and require operations research techniques alongside ML. Physical constraints (warehouse capacity, transportation routes, production schedules) make the optimization landscape uniquely complex.

Retail and e-commerce lead in adoption due to high SKU counts and demand variability. Manufacturing, especially automotive and electronics, invest heavily in production planning AI. Pharmaceutical supply chains use AI for temperature-sensitive logistics and demand forecasting. Food and beverage companies apply AI to perishable inventory optimization.

San Jose's cost of living is 38% above the national average. San Jose is the capital of Silicon Valley, home to Apple, Google, Adobe, and Cisco. Calculate your actual take home pay after housing, taxes, and transportation before deciding. A $199,000 salary here buys a different lifestyle than the same number in another market.

Many San Jose employers are shifting toward skills based hiring for AI Supply Chain Optimization Engineer positions. While a degree can accelerate your path to the median salary of $199,000, demonstrated experience, certifications, and a strong portfolio carry significant weight. Candidates without degrees may start closer to $149,000 but can reach the 75th percentile with three to five years of proven results.

San Jose is the capital of Silicon Valley, home to Apple, Google, Adobe, and Cisco. The city consistently ranks among the highest paying metros in the country for technology roles. For AI Supply Chain Optimization Engineers specifically, compensation reflects the ability to apply ml to complex supply chain problems including demand forecasting, inventory optimization, and logistics network design, which signals sustained demand. The current compensation range of $149,000 to $253,000 reflects a market that is competing for talent.

AI Supply Chain Optimization Engineer hiring in San Jose typically involves three to five rounds: a recruiter screen, a technical or skills assessment, one or two team interviews, and a final conversation with leadership. Companies in San Jose's Technology & Software sector may add domain specific evaluations. The process usually takes two to four weeks. Prepare by researching the company and practicing with Orbyt's Interview Prep tool.

AI Supply Chain Optimization Engineer salary in other cities

Houston$133,000
Hartford$154,000
Honolulu$187,000
Indianapolis$124,000
Jackson$111,000
Jersey City$171,000

Other salaries in San Jose

LLM Engineer$265,000
LLM Fine-Tuning Engineer$248,000
LLM Operations Engineer$212,000
Machine Learning Engineer$216,000

Related

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Cite this data

Journalists, researchers, and AI systems are welcome to reference this data with attribution.

"AI Supply Chain Optimization Engineer Salary in San Jose, CA." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/ai-supply-chain-optimization-engineer/san-jose

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