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Algorithmic Trading 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 ...

Hudson River Trading

Research Engineer

London, CA · On-site

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological ... Strong understanding of data structures, algorithms, and design principles. * Excellent ...

The Trade Desk

Senior Software Engineer

Irvine, CA · On-site +1

$184K - $249K/yr

The Trade Desk is a global technology company and the world's leading independent platform for ... Develop and apply advanced graph algorithms to solve complex real-world challenges. Collaborate ...

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Algorithmic Trading information

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$73.5K

$84.6K

$92.8K

How much do algorithmic trading jobs pay per year?

As of Jun 10, 2026, the average yearly pay for algorithmic trading in California is $84,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $89,800.00 per year, depending on experience, location, and employer.

What Is Algorithmic Trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative 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-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

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 quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.
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Algorithmic Trading jobs near you
Camera ISP Algorithm Engineer - Pixel Processing

Camera ISP Algorithm Engineer - Pixel Processing

Apple

Cupertino, CA • On-site

Full-time

Posted 20 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th 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.
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.
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.
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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