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EV Battery AI Optimization Engineer.

San Francisco.

$268,000

median salary, 31% above the national average

$210,000 to $350,000. Last updated August 2026.

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Data points to own the conversation.

San Francisco is 35% more expensive than the national average. For EV Battery AI Optimization Engineers, that shakes out to a median of $268,000, with the full range spanning $210,000 to $350,000. Compensation reflects specialization depth, production deployment scale, and the maturity of the AI systems being built. Know the range before you walk in. 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

$210,000

per year

Median

$268,000

per year

75th Percentile

$350,000

per year

Where do you fall?

$210,000$350,000

Orbyt estimate for EV Battery AI Optimization Engineer in San Francisco, 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 $166,030 for Electrical Engineers (SOC 17-2071) in the San Francisco-Oakland-Fremont, CA metropolitan area, based on 2,470 employed workers (May 2025 release).

10th percentile

$97,500

25th percentile

$124,720

Median

$166,030

75th percentile

$204,490

90th percentile

$219,070

Workers surveyed

2,470

Why this differs from the estimate above. The Orbyt estimate of $268,000 is 61% higher than this published figure. That is usually not an error in either number: BLS reports by occupation code, and Electrical Engineers covers a different population than the EV Battery AI Optimization Engineer title as it is typically advertised. Both are shown, unreconciled, so you can judge which one describes the job you mean.

BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Electrical Engineers (SOC 17-2071) rather than EV Battery AI Optimization Engineer specifically. The San Francisco 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 17-2071

Salary by experience.

The gap between entry and lead level is typically $241,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$174,000

to $214,000

Mid (3-5 yrs)

$228,000

to $281,000

Senior (6-9 yrs)

$295,000

to $348,000

Lead (10+ yrs)

$335,000

to $415,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $54,000 to the total package.

Base

$268,000

Equity

$29,000

Bonus

$20,000

Signing

$5,000

Estimated total: $322,000

How San Francisco compares.

San Francisco, CA

$268,000

Cost of living: 35% above average

National Average

$205,000

San Francisco is $63,000 above

EV Battery AI Optimization Engineer salary by city.

EV Battery AI Optimization Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$286,000$223,000 to $372,0001.38x$207,000
Honolulu, HI$269,000$210,000 to $351,0001.30x$207,000
New York, NY$268,000$209,000 to $349,0001.28x$209,000
San Francisco, CA$268,000$210,000 to $350,0001.35x$199,000
Seattle, WA$264,000$206,000 to $344,0001.24x$213,000
Boston, MA$258,000$201,000 to $336,0001.22x$211,000
Washington DC, DC$254,000$198,000 to $330,0001.25x$203,000
Los Angeles, CA$239,000$187,000 to $312,0001.18x$203,000
Newark, NJ$239,000$187,000 to $312,0001.18x$203,000
San Diego, CA$237,000$185,000 to $309,0001.17x$203,000

See all 81 cities for EV Battery AI Optimization Engineer →

Salary by role in San Francisco.

Salary comparison by role in San Francisco
RoleMedianRange
CTO$401,000$313,000 to $521,000
CEO$382,000$278,000 to $528,000
General Counsel$378,000$294,000 to $491,000
Privacy / Data Counsel$273,000$209,000 to $355,000
E6 Engineer$272,000$238,000 to $320,000
EV Battery AI Optimization Engineer$268,000$210,000 to $350,000
IP Counsel$258,000$201,000 to $336,000
AI Strategist$257,000$195,000 to $341,000

What you should know.

Here is what the EV Battery AI Optimization Engineer market actually looks like in San Francisco. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. Despite remote work trends, SF still commands the steepest salary premiums for engineering and product roles. Compensation reflects specialization depth, production deployment scale, and the maturity of the AI systems being built. EV Battery AI Optimization Engineers who have shipped models serving millions of users command the highest premiums. Employer type matters significantly: AI labs and foundation model companies pay 20% to 40% more than enterprises adopting AI for internal use.

Entry-level EV Battery AI Optimization Engineers start near $160,000. Mid-career professionals with three to five years of experience reach $205,000 to $267,000. Senior-level roles command $262,000 to $318,000. Management transitions to director-level positions offer $338,000 and above. In San Francisco, those numbers run higher. The cost of living here is 35% above average, and employers adjust to compete.

Base salary is not the full picture. Equity at top-tier companies adds 30% to 60% above base salary. Annual bonuses of 15% to 25% are standard. Signing bonuses of $25,000 to $75,000 are common when changing roles. Refresher equity grants vest annually. Relocation packages and executive benefits like financial planning are typical. And on the tax side: california's top marginal state income tax rate is 13.3%, the highest in the U.S. San Francisco has no additional city income tax, but overall tax burden remains steep. When someone quotes you $268,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here. The range for EV Battery AI Optimization Engineers in San Francisco runs from $210,000 to $350,000. 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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Enter your EV Battery AI Optimization Engineer offer to see where you stand in San Francisco.

$

25th

$210,000

Median

$268,000

75th

$350,000

Considering a related role?

  • An E6 Engineer in San Francisco earns $272,000 (1% more)
  • The highest-paying role in San Francisco is CTO at $401,000
  • See all ai engineering roles tracked in Orbyt Intelligence

Common questions.

Production deployment experience, published research or open source contributions, and expertise with the latest model architectures command the highest premiums. Proficiency in Python, PyTorch, and cloud ML platforms is baseline. Experience with LLM fine-tuning, RLHF, and inference optimization is increasingly differentiated.

AI labs and foundation model companies pay 20% to 40% more than enterprises. Well-funded AI startups offer competitive base salaries with significant equity upside. Large tech companies provide the most stable total compensation packages with strong equity vesting schedules.

It depends on the position and employer. Many EV Battery AI Optimization Engineers in San Francisco are classified as exempt salaried employees without overtime eligibility. However, equity at top-tier companies adds 30% to 60% above base salary. When evaluating the $210,000 to $350,000 range, ask about the total compensation structure during negotiation.

In San Francisco, large enterprises typically pay EV Battery AI Optimization Engineers 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Equity at top-tier companies adds 30% to 60% above base salary. The $210,000 to $350,000 range reflects this entire spectrum.

San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. For EV Battery AI Optimization Engineers specifically, compensation reflects specialization depth, production deployment scale, and the maturity of the ai systems being built, which signals sustained demand. The current compensation range of $210,000 to $350,000 reflects a market that is competing for talent.

EV Battery AI Optimization Engineer compensation in San Francisco has trended upward as demand outpaces supply. The 2026 range of $210,000 to $350,000 reflects a market that rewards specialization. Compensation reflects specialization depth, production deployment scale, and the maturity of the AI systems being built.

The national median for an EV Battery AI Optimization Engineer is $198,519. In San Francisco, cost of living adjustments push the median to $268,000. That premium reflects San Francisco's higher housing, transportation, and everyday costs.

EV Battery AI Optimization Engineer salary in other cities.

Other salaries in San Francisco.

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"EV Battery AI Optimization Engineer Salary in San Francisco, CA." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/ev-battery-ai-optimization-engineer/san-francisco

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