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Embodied AI Engineer.

San Jose.

$187,000

median salary, 41% above the national average

$139,000 to $245,000. Last updated August 2026.

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Data points to own the conversation.

An Embodied AI Engineer in San Jose earns a median of $187,000 in 2026. That is 41% above the national average. The range runs from $139,000 to $245,000, and where you land depends on your experience, your skills, and how well you negotiate. Pay correlates with robotics platform complexity and real-world deployment experience. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.

Salary range.

25th Percentile

$139,000

per year

Median

$187,000

per year

75th Percentile

$245,000

per year

Where do you fall?

$139,000$245,000

Orbyt estimate for Embodied AI Engineer in San Jose, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.

Government benchmark for this occupation

The US Bureau of Labor Statistics reports a median annual wage of $213,110 for Software Developers (SOC 15-1252) in the San Jose-Sunnyvale-Santa Clara, CA metropolitan area, based on 87,350 employed workers (May 2025 release).

10th percentile

$138,420

25th percentile

$173,650

Median

$213,110

75th percentile

$226,080

90th percentile

$289,150

Workers surveyed

87,350

BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Software Developers (SOC 15-1252) rather than Embodied AI Engineer specifically. The San Jose range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.

View the BLS source for SOC 15-1252

Salary by experience.

The gap between entry and lead level is typically $168,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$122,000

to $150,000

Mid (3-5 yrs)

$159,000

to $196,000

Senior (6-9 yrs)

$206,000

to $243,000

Lead (10+ yrs)

$234,000

to $290,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $44,000 to the total package.

Base

$187,000

Equity

$24,000

Bonus

$16,000

Signing

$4,000

Estimated total: $231,000

How San Jose compares.

San Jose, CA

$187,000

Cost of living: 38% above average

National Average

$133,000

San Jose is $54,000 above

Embodied AI Engineer salary by city.

Embodied AI Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$187,000$139,000 to $245,0001.38x$136,000
Honolulu, HI$176,000$131,000 to $231,0001.30x$135,000
New York, NY$175,000$131,000 to $229,0001.28x$137,000
San Francisco, CA$172,000$128,000 to $226,0001.35x$127,000
Seattle, WA$168,000$125,000 to $220,0001.24x$135,000
Washington DC, DC$163,000$121,000 to $213,0001.25x$130,000
Newark, NJ$163,000$121,000 to $214,0001.18x$138,000
Boston, MA$161,000$120,000 to $210,0001.22x$132,000
San Diego, CA$154,000$115,000 to $202,0001.17x$132,000
Los Angeles, CA$152,000$113,000 to $199,0001.18x$129,000

See all 81 cities for Embodied AI Engineer →

Salary by role in San Jose.

Salary comparison by role in San Jose
RoleMedianRange
CTO$402,000$313,000 to $522,000
General Counsel$402,000$313,000 to $522,000
CEO$368,000$268,000 to $509,000
Embodied AI Engineer$187,000$139,000 to $245,000
NLP Engineer$187,000$139,000 to $245,000
NLP Research Scientist$187,000$129,000 to $248,000
MLOps Engineer$187,000$139,000 to $245,000
Recommendation Systems Engineer$187,000$145,000 to $238,000

What you should know.

Here is what the Embodied AI Engineer market actually looks like in San Jose. 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. Pay correlates with robotics platform complexity and real-world deployment experience. Engineers who bridge simulation-to-reality transfer for manipulation or locomotion tasks earn premiums. Hardware integration skills combined with deep learning for perception and control drive salaries toward the high end.

Junior embodied AI engineers start near $142,000 working on perception pipelines. Mid-level engineers deploying manipulation or navigation systems earn $190,000 to $215,000. Technical leads architecting full-stack embodied AI platforms reach $252,000 to $320,000. 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. Robotics companies offer competitive equity packages, especially pre-IPO. Annual bonuses of 12% to 20% are standard, with hardware prototype completion bonuses adding $10,000 to $25,000 at some firms. 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 $187,000, 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 Embodied AI Engineers in San Jose runs from $139,000 to $245,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: BLS OES, H-1B LCA (DOL). COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology

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$

25th

$139,000

Median

$187,000

75th

$245,000

Considering a related role?

Common questions.

Embodied AI emphasizes learning-based approaches over hand-coded control systems. Engineers use foundation models, reinforcement learning, and sim-to-real transfer rather than classical motion planning. The role requires deep ML expertise alongside robotics fundamentals, making it a hybrid discipline with higher compensation than traditional robotics.

Figure, Boston Dynamics, Tesla Optimus, Google DeepMind robotics, and several well-funded startups actively recruit. Amazon and warehouse automation companies also hire heavily. Academic spin-offs from Stanford, CMU, and MIT labs form a pipeline of specialized startups offering competitive compensation packages.

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 Embodied AI Engineers specifically, the median salary of $187,000 reflects that demand.

Relevant certifications can add 5 to 15% to an Embodied AI Engineer's base salary in San Jose. Specifically, pay correlates with robotics platform complexity and real-world deployment experience. In a market where the range spans $139,000 to $245,000, certifications often bridge the gap between the median and the top of the range.

San Jose's economy is driven by Technology & Software, Semiconductors, Artificial Intelligence, and Networking & Hardware. Embodied AI Engineers are hired across these sectors, though compensation can vary 15 to 25% between industries. Company size and funding stage also influence total packages significantly.

Embodied AI Engineer salary in other cities.

Other salaries in San Jose.

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"Embodied AI Engineer Salary in San Jose, CA." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/embodied-ai-engineer/san-jose

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