Deep Learning Engineer.
San Jose.
$284,000
median salary, 42% above the national average
$220,000 to $362,000. Last updated July 2026.
Get the job.
Data points to own the conversation.
Here is what Deep Learning Engineers actually make in San Jose: $220,000 at the 25th percentile, $284,000 at the median, and $362,000 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.
Where do you fall?
Salary by experience.
The gap between entry and lead level is typically $255,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$185,000
to $227,000
Mid (3-5 yrs)
$241,000
to $298,000
Senior (6-9 yrs)
$312,000
to $369,000
Lead (10+ yrs)
$355,000
to $440,000
Salary trend.
+8% YoYTotal compensation.
Base salary is not the full picture. Equity, bonus, and signing can add $143,000 to the total package.
Base
$284,000
Equity
$88,000
Bonus
$38,000
Signing
$17,000
Estimated total: $427,000
Deep Learning Engineer salary by company.
Total compensation estimates include base, equity, bonus, and signing. Ranges reflect mid to senior level. Derived from public H-1B LCA filings, state pay-transparency job postings, and community-submitted compensation data.
How San Jose compares.
San Jose, CA
$284,000
Cost of living: 38% above average
National Average
$200,000
San Jose is $84,000 above
Deep Learning Engineer salary by city.
Salary by role in San Jose.
What you should know.
If you are interviewing for Deep Learning 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. Pay hinges on expertise with transformer architectures, large-scale training pipelines, and GPU optimization. Engineers who have shipped production models at scale earn top-band salaries. Publications at NeurIPS or ICML and familiarity with distributed training frameworks like DeepSpeed further boost compensation.
Junior deep learning roles start at $120,000 to $145,000. Mid-level engineers earn $155,000 to $200,000. Senior and staff-level positions reach $220,000 to $300,000 base, with principal engineers at top labs exceeding $400,000 in total compensation. 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. Equity is a major component at AI-focused companies, often representing 30 to 50% of total compensation. Annual bonuses range from 10 to 20% of base, with signing bonuses of $30,000 to $75,000 common for experienced hires. 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 $284,000, 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 Deep Learning Engineers in San Jose runs from $220,000 to $362,000. 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), state pay-transparency job postings, and community submissions. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology
Considering a related role?
- An AI Agent Architect in San Jose earns $291,000 (2% more)
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Common questions.
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