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Algorithmic Trading Jobs in California (NOW HIRING)

The Trade Desk

Senior Software Engineer

Irvine, CA · On-site +1

$184K - $249K/yr

Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk ... Develop and apply advanced graph algorithms to solve complex real-world challenges. Collaborate ...

Apple

Real-Time Computer Vision Architect

Sunnyvale, CA · On-site

We do this by enabling the co-design of computer vision algorithms and systems through a deep understanding of the complexities and trade-offs between algorithm performance, imaging pipeline, system ...

The Trade Desk

Data Scientist II

Irvine, CA · On-site

$130K - $170K/yr

... Trade Desk, Inc. office in Irvine, CA. Job Duties: Design, implement, and optimize scalable graph-based algorithms to enhance internal graph products. Optimize large-scale algorithmic systems ...

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Algorithmic Trading information

See California salary details

$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
Cellular RF Receiver Algorithms Systems Engineer

Cellular RF Receiver Algorithms Systems Engineer

Apple

Sunnyvale, CA • On-site

Full-time

Posted 28 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 RF System Engineering team is seeking a motivated and dedicated expert to define the next generation of Cellular RF Receiver architectures. In this role, you will architect and deliver groundbreaking wireless solutions for future Apple products, working on today's 5G New Radio and blazing the path to 6G. You will have a unique opportunity to develop the core technologies that enable an outstanding wireless experience for millions of customers worldwide.
In this role, you will drive the control architecture and algorithms for the RF receiver, collaborating across systems engineering, RF circuit design, digital implementation, platform architecture, software engineering, and production teams to define and deliver solutions that push the boundaries of performance, quality, and implementation efficiency.
BSEE required.Understanding of Cellular Radio/3GPP Standards (UMTS, LTE, 5G NR FR1/2) and familiarity with emerging 6G research directions.Knowledge of RF receiver architectures from antenna to analog/digital base band processing including a comprehensive understanding of RF circuit impairments and their impact on system performance.Good overview of cellular system use cases and RF/baseband interactions and procedures.Proficiency in hardware/software co-design and a comprehensive grasp of the trade-offs inherent in digital hardware and software/firmware implementations.Expert-level proficiency in Python or C++ is required.Experience applying Artificial Intelligence (AI) or Machine Learning (ML) to improve multi-objective optimizations and accelerate engineering workflows.Excellent analytical and problem-solving skills, with the ability to collaborate effectively in a global, multi-disciplinary team.
Expertise in microcontroller architectures used for real time operation and how to program them.Proficiency in AI/ML native applications, with experience utilizing tools such as TensorFlow or PyTorch.Knowledge of cellular modem architectures including their associated concepts and algorithms.PhD degree with education focus in RF, especially on cellular receiver architectures.System Engineering experience with a deep background in DSP for wireless communication systems. Experience in refining from abstract definition towards bit true reference models.Proficiency in mathematical modeling and analysis, with the ability to build abstract system models leveraging control theory for understanding and designing control and closed-loop feedback systems, optimization theory for multi-objective trade-space analysis and statistical methods for performance modeling under uncertainty.

What Apple employees say

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Benefits

Hours and flexibility

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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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