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Algorithmic Trader Jobs in California (NOW HIRING)

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Senior Software Engineer, Algorithms + ML

Palo Alto, CA · On-site

$144K - $189K/yr

You should be comfortable balancing algorithmic quality with real-world product constraints such as ... Manage technical priorities, project timelines, and trade-offs in a fast-moving product development ...

Boeing

Entry-Level DSP Algorithms Engineer

El Segundo, CA · On-site

$79K - $106K/yr

As a DSP Algorithms Engineer, you will design and develop state-of-the-art, space-based ... Performing trade studies * Supporting integration and test of our payloads and spacecraft from unit ...

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All JobsAlgorithmic Trader JobsAlgorithmic Trader Jobs in California

Algorithmic Trader information

See California salary details

$39K

$95.5K

$266K

How much do algorithmic trader jobs pay per year?

As of Jul 3, 2026, the average yearly pay for algorithmic trader in California is $95,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $104,100.00 per year, depending on experience, location, and employer.

How much do algorithmic traders make?

Algorithmic traders typically earn between $80,000 and $200,000 annually, with experienced professionals and those working at hedge funds or proprietary trading firms earning higher salaries and bonuses. Compensation often depends on skill level, trading performance, and the firm's size, with many traders also receiving performance-based incentives.

What are the key skills and qualifications needed to thrive as an Algorithmic Trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in mathematics, statistics, programming (often Python, C++, or R), and a solid understanding of financial markets, usually supported by a relevant degree. Familiarity with trading platforms, backtesting frameworks, and data analysis tools, plus certifications like CFA or FRM, are commonly required. Strong analytical thinking, attention to detail, and the ability to work under pressure are vital soft skills for success in this fast-paced environment. These skills enable traders to develop effective, automated strategies that capitalize on market opportunities while managing risk efficiently.

What are some typical challenges faced by algorithmic traders in their day-to-day work?

Algorithmic traders often encounter challenges such as maintaining and updating trading algorithms to adapt to rapidly changing market conditions, ensuring low-latency execution, and managing the risks associated with automated trading. Collaborating closely with quantitative analysts, software engineers, and risk managers is essential to refine strategies and troubleshoot technical issues. Staying compliant with regulatory requirements and monitoring for unexpected market behaviors or system errors are also important aspects of the role.

What is an algorithmic trader?

An algorithmic trader is a financial professional who uses computer algorithms to automate trading strategies in financial markets. These traders develop, test, and implement mathematical models that analyze market data and execute trades at speeds and frequencies impossible for humans. Algorithmic traders work in environments such as investment banks, hedge funds, and proprietary trading firms, and their goal is often to maximize returns while managing risk. They typically need strong skills in programming, quantitative analysis, and finance.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills and quantitative analysis. It can be financially rewarding and offers opportunities in finance firms and hedge funds, but it requires strong technical knowledge, risk management skills, and continuous learning. Success depends on market conditions, technical proficiency, and the ability to adapt strategies over time.

Who is the richest Algo trader in the world?

The richest algorithmic trader is often considered to be Jim Simons, founder of Renaissance Technologies, a highly successful quantitative hedge fund. His firm employs advanced mathematical models and computer algorithms to generate trading strategies, making him one of the wealthiest individuals in the trading industry. Many top algo traders leverage skills in mathematics, programming, and data analysis to succeed in this field.

Is algo trading really profitable?

Algorithmic traders use automated systems and algorithms to execute trades based on predefined criteria. While successful algo trading can be profitable, it requires advanced programming skills, market knowledge, and risk management; profitability varies depending on strategy, market conditions, and execution quality.

What is the difference between Algorithmic Trader vs Quantitative Analyst?

AspectAlgorithmic TraderQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedFinancial institutions, research firms; analytical and research-focused
Employer & Industry UsageUsed primarily in trading and investment firmsUsed in asset management, hedge funds, and investment banks

While both roles require strong quantitative skills and programming knowledge, Algorithmic Traders focus on developing and executing trading algorithms in real-time markets, whereas Quantitative Analysts primarily develop models and strategies for investment decision-making. The roles often overlap but differ mainly in their focus on trading execution versus model development.

What are the most commonly searched types of Algorithmic Trader jobs in California? The most popular types of Algorithmic Trader jobs in California are:
What are popular job titles related to Algorithmic Trader jobs in California? For Algorithmic Trader jobs in California, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trader jobs in California look for? The top searched job categories for Algorithmic Trader jobs in California are:
What cities in California are hiring for Algorithmic Trader jobs? Cities in California with the most Algorithmic Trader job openings:
Algorithmic Trader jobs near you
Infographic showing various Algorithmic Trader job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $95,507 per year, or $45.9 per hour.
Camera ISP Algorithm Engineer - Pixel Processing

Camera ISP Algorithm Engineer - Pixel Processing

Apple

Cupertino, CA • On-site

Full-time

Posted 13 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Apple's Camera Algorithm team is looking for highly motivated and self-driven algorithm engineers to work on the image capture and processing/rendering algorithms that serve all Apple products' cameras! As part of the team, you will work on core camera/ISP/Machine Learning technologies based on Apple crafted image signal processing pipeline and HW components, such as the Apple Image Signal Processor (ISP) or Apple Neural Engine. Here you will have the chance to define the way the Apple camera captures, processes, and renders outstanding still image and video quality. Our close-knit team champions an environment of product innovation, rapid product iteration, and collaboration, at both team and multi-functional levels, granting you a liberating amount of autonomy. We work closely with various teams, like Silicon Design, Camera HW, and QA. Our team environment is dynamic, fast-paced and requires a self-starter demeanor.
Description
You will engage in one or more of following tasks in order to improve the Apple cameras' video and image quality:
1. Develop new ISP processing algorithms and control algorithms.
2. Develop algorithms to correct various camera sensor and lens effects.
3. Tune various ISP blocks to improve image and video quality.
4. Setup pixel pipelines effectively for various requirements on quality and power/performance.
Minimum Qualifications
Deep understanding of image signal processing for digital cameras.
Good understanding of camera sensors and optics.
Proven experience in camera imaging algorithm development, using a mix of traditional image processing techniques and machine learning.
Preferred Qualifications
Self-driven approach to work and focused on time sensible practices, from problem identification to prototyping solutions and validation.
Experience with design, control and/or tuning of an ISP pipeline.
Understanding of the various trade-offs involved in defining the image quality coming out of an ISP pipeline.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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