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Algorithmic Trader Jobs in California (NOW HIRING)

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 ...

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 ...

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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$95.5K

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How much do algorithmic trader jobs pay per year?

As of Jun 11, 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' salaries vary widely based on experience, location, and performance, but they often earn between $80,000 and $200,000 annually. Successful traders with strong quantitative skills and advanced programming knowledge can earn significantly more through bonuses and profit sharing. Compensation typically includes base salary, performance incentives, and sometimes equity or profit-sharing arrangements.

Is algorithmic trading illegal?

Algorithmic trading is legal in most jurisdictions when conducted within regulatory frameworks that require proper registration, compliance, and risk management. Traders and firms using algorithms must adhere to rules set by financial authorities to prevent market manipulation and ensure fair trading practices.

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 competitive field that involves developing and implementing automated trading strategies using programming skills and financial knowledge. Success requires strong quantitative skills, proficiency in programming languages like Python or C++, and understanding of financial markets. It can offer high earning potential but also involves significant risk and constant learning to stay effective.

Is algo trading really profitable?

Algorithmic traders use automated systems and quantitative models to execute trades, which can be profitable but also carry significant risks due to market volatility and model limitations. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, making it essential to thoroughly backtest strategies and monitor performance regularly.

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:

(Senior) Engineer, DSP Systems Engineering, meoSphere

MX1

Long Beach, CA • On-site

$150K - $175K/yr

Other

Posted 24 days ago


Job description


(Senior) Engineer, DSP Systems Engineering, meoSphere

PROGRAMME DESCRIPTION

 

meoSphere is SES's next-generation Medium Earth Orbit (MEO) satellite constellation, designed to deliver secure connectivity services to government agencies, enterprises, and commercial customers. It will also provide high-speed broadband internet to eliminate global connectivity dead zones.

To accelerate development timelines, reduce costs, and ensure quality, SES is internalizing a critical segment of the satellite supply chain: the final integration of partner satellite platforms with SES's software-defined payloads, all within a cutting-edge manufacturing and test facility.

ROLE DESCRIPTION

As a DSP System Engineer, you will play a key role in the design, analysis, modelling and validation of multiple signal processing blocks implemented in ASIC and FPGA technology in in our satellite payloads. Embedded in an agile software/firmware and hardware development team, you will ensure optimized algorithms and accurate modelling are implemented along the signal processing chain.

In your first six months, you will model and propose algorithms for state-of-the-art Digital Beamforming ASICs and 5G NTN waveform digital processing blocks. Within two years, your algorithms and modelled systems will have flown in space, demonstrating cutting-edge digital signal processing technologies.

KEY RESPONSIBILITIES / KEY RESULT AREAS

  • Develop and model DSP algorithms for digital beamforming and channelization, MIMO, DPD, CFR, calibration, and digital compensation in phased-array and satellite communication systems.
  • Develop DUC/DDC blocks using multi-rate DSP techniques and ensure optimized implementation for low-power fixed point hardware (FPGA/ASIC).
  • Create system-level MATLAB/Python/C++ models representing end-to-end RF and baseband processing, including beamforming algorithms, channelization, quantization effects, and channel impairments.
  • Translate high-level system requirements into implementable DSP blocks for ASIC design, collaborating with RTL and physical design teams to define fixed-point accuracy, throughput, and latency targets.
  • Evaluate fixed-point vs. floating-point architecture trade-offs for ASIC efficiency and precision across multiple channels.
  • Develop hardware/software co-design models to partition algorithms between firmware, digital logic, and analog front end.
  • Prototype and validate system performance via FPGA or simulation platforms; assist with pre-silicon and post-silicon validation workflows.
  • Optimize DSP algorithms for low power and high throughput suitable for space or high-reliability communication ASICs.
  • Support beamforming calibration strategies, including array calibration, gain/phase mismatch correction, and RF impairment compensation.
  • Generate technical reports, design documentation, and test plans to validate DSP architecture performance.

COMPETENCIES, QUALIFICATIONS & EXPERIENCE

Required Qualifications

  • MS/PhD in Electrical Engineering, Signal Processing, or related field with 5 years of relevant DSP algorithm design experience.
  • Proven background in digital beamforming, MIMO signal processing, and calibration algorithms for phased arrays.
  • Strong experience with system-level modelling in MATLAB/Simulink and Python, including model-based design.
  • Proficiency in DSP algorithm simulation in C/C++ or SystemC, especially fixed-point modelling for ASIC implementation.
  • Deep understanding of OFDM, modulation schemes, adaptive filtering, channel estimation, and RF impairment modelling.
  • Familiarity with ASIC flow integration of DSP algorithms - RTL handoff, verification, and bit-accurate modelling.
  • Experience in lab-based silicon bring-up, calibration, and verification of beamforming performance.
  • Understanding of FPGA prototyping, hardware emulation, and verification flows used for DSP system validation.

Nice to have

  • Strong grasp of digital communications theory and antenna array processing.
  • Capability to bridge system, algorithm, and implementation levels in custom beamforming ASICs.
  • Excellent communication skills for cross-functional coordination (DSP, RTL, RF, firmware, system integration).
  • Analytical mindset for trade-off evaluations: precision vs. power, latency vs. accuracy, hardware cost vs. performance.
  • Working Experience of radiation and thermal constraints relevant to satellite ASIC system design.

 

Preferred Tools and Platforms

 

Function

Tools / Languages

DSP Modeling & Simulation

MATLAB, Simulink, Python, NumPy, TensorFlow (for ML-based optimization)

Algorithm Implementation

C/C++, VivadoAMD

Analysis Tools

ADS, Keysight SystemVue, or custom DSP simulation frameworks

OTHER KEY REQUIREMENTS / COMMENTS

  • Eligibility for ESA/EU/NATO/National SECRET personnel security clearances. Candidates must be prepared to undergo a security clearance procedure, as this position may require holding such clearance, is considered an asset.
  • Able to travel nationally & internationally

The job responsibilities outlined in this document are not exhaustive and may evolve over time and be reviewed according to business needs.

The salary range for this full-time position is $150,000.00 - $190,000.00 + bonus  + benefits. Our salary ranges are determined by role, level, and location. The range displayed on this job posting reflects the target salary for new hires in Torrence, California. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. We understand market salaries can evolve and we are conscious that sometimes these will be open to review.

SES and its Affiliated Companies are committed to providing fair and equal employment opportunities to all. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law.

For more information on SES, click here.