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Algorithmic Trader Jobs in Maryland (NOW HIRING)

Sr Engineer Autonomy

Frederick, MD · On-site

$103K - $142K/yr

Working within a technology development team, you will perform system-level trade studies, develop and integrate state estimation and navigation algorithms, and collaborate closely with ...

Demonstrated ability to lead technical investigations, architecture trade studies, and algorithm development efforts across multidisciplinary engineering teams * Experience collaborating with ...

Trade Studies & Benchmarking: Establish rigorous validation frameworks, simulation scenarios, and benchmarks to objectively evaluate and compare the performance of alternative algorithms. * Hardware ...

... algorithms, tuning hyperparameters, and validating robustness through cross-validation techniques. Prior to development able to articulate the trade-off on different modeling techniques and ...

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Algorithmic Trader information

See Maryland salary details

$38.3K

$93.9K

$261.6K

How much do algorithmic trader jobs pay per year?

As of Jul 28, 2026, the average yearly pay for algorithmic trader in Maryland is $93,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $102,400.00 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 Maryland? The most popular types of Algorithmic Trader jobs in Maryland are:
What are popular job titles related to Algorithmic Trader jobs in Maryland? For Algorithmic Trader jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trader jobs in Maryland look for? The top searched job categories for Algorithmic Trader jobs in Maryland are:
Infographic showing various Algorithmic Trader job openings in Maryland as of July 2026, with employment types broken down into 1% Internship, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $93,923 per year, or $45.2 per hour.
Sr Engineer Autonomy

Sr Engineer Autonomy

Actalent

Frederick, MD • On-site

$103K - $142K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title: Sr Autonomy Software Engineer (C++ Software)

Job Description

This role focuses on designing, developing, and implementing advanced autonomy systems for off-highway vehicles, including boom lifts, scissor lifts, and telehandlers. You will lead the development of robust solutions that leverage innovative sensor technologies and algorithms to enable safe, efficient, and reliable autonomous operation. Working within a technology development team, you will perform system-level trade studies, develop and integrate state estimation and navigation algorithms, and collaborate closely with multidisciplinary hardware and software teams to bring cutting-edge autonomy capabilities into production products.

Responsibilities

  • Perform autonomy development tasks, including system trade studies and component modeling of inertial measurement units (IMU), global navigation satellite systems (GNSS), cameras, radar, and LiDAR.
  • Simulate and implement navigation algorithms, with a strong focus on Bayesian filters and optimal state estimation techniques.
  • Propose and evaluate autonomy architecture concepts and perform architecture and technology trade-off analyses for complex systems.
  • Define, document, and validate requirements for sensors and state estimation software, including sensor selection, monitoring, fault detection, and sensor fusion strategies.
  • Analyze, source, and select sensor solutions for integration into navigation and autonomy systems.
  • Develop and integrate state estimation algorithms for localization, calibration, mapping, and SLAM applications in robotic and autonomous systems.
  • Design and implement algorithms that fuse multiple sensor modalities to improve robustness and performance of autonomy functions.
  • Work with a multi-disciplinary team to develop and integrate complex hardware and software systems into off-highway vehicles.
  • Participate in rapid prototyping activities to develop and demonstrate advanced sensing and autonomy capabilities on hardware platforms.
  • Contribute to system and operational architecture concepts, ensuring that autonomy solutions align with product requirements and safety expectations.
  • Participate in requirements definition and decomposition into sub-functions and software modules for autonomy systems.
  • Develop modern C++ software (C++11 and higher) for embedded systems, focusing on perception, path planning, and state estimation.
  • Utilize ROS1 or ROS2 to integrate, test, and deploy autonomy software components on robotic and vehicle platforms.
  • Apply object-oriented programming principles to create modular, reusable, and highly abstracted code for autonomy software.
  • Support agile software development practices, including sprint planning, code reviews, and continuous integration workflows.
  • Work with embedded devices and hardware interfaces to ensure reliable operation of autonomy features in real-world environments.
  • Operate within a regulatory environment, ensuring that autonomy solutions meet applicable standards and compliance requirements.
  • Support and enhance highly automated systems, improving existing autonomy capabilities and integrating new features into current products.
  • Prepare and deliver clear technical presentations to autonomy and engineering stakeholders, explaining design decisions, trade-offs, and performance results.
  • Provide technical support and guidance to team members and stakeholders on autonomy-related topics.
  • Communicate proactively, follow up on open issues, and ensure stakeholders remain informed about progress and risks.
  • Manage tasks independently, prioritize work effectively, and meet deadlines in a fast-paced development environment.

Essential Skills

  • Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a closely related field.
  • Experience in physics-based modeling for mechanical and electrical systems.
  • Minimum 3–4 years of experience in sensor signal processing and sensor fusion algorithms.
  • Experience with navigation systems and performance analysis of navigation solutions, including navigation state error estimation.
  • Knowledge of optimal state estimation filters such as Kalman Filters and Extended Kalman Filters (EKF).
  • Experience developing and integrating state estimation algorithms for localization, calibration, mapping, or SLAM applications in robotic systems.
  • Proficiency in modern C++ (C++11 and higher) with strong hands-on development experience.
  • Proficiency with ROS1 or ROS2 for robotics and autonomy applications.
  • Experience with object-oriented programming and designing modular, reusable software components.
  • Ability to interpret, develop, and integrate highly abstracted code to improve efficiency, modularity, and reusability.
  • Experience with embedded systems and embedded devices in real-time or near real-time environments.
  • Experience working with autonomy systems, including perception and path planning components.
  • Experience with agile software development practices, such as iterative development, sprints, and continuous integration.
  • Experience working in a regulatory environment and with highly automated systems.
  • Strong verbal and written communication skills, including the ability to present complex technical topics clearly.
  • Strong organizational skills and attention to detail.
  • Ability to independently prioritize tasks, manage time effectively, and meet project deadlines.
  • Self-motivated, forward-thinking mindset with a focus on innovation and continuous improvement.
  • Hands-on autonomy experience, including building autonomy systems from scratch, improving existing capabilities, or integrating autonomy solutions into existing products.
  • Experience with robotics and autonomous vehicles, particularly in off-highway or similar domains.
  • Exposure to Python for supporting development, tooling, or scripting tasks.

Additional Skills & Qualifications

  • Proficiency in Make and CMake for building and managing complex software projects.
  • Proficiency with modern software development workflows, including version control systems, automated pipelines, unit testing, and peer review practices.
  • Experience with optimization algorithms for improving performance and efficiency of autonomy and state estimation solutions.
  • Experience in computer vision techniques for perception and environment understanding.
  • Experience with machine learning approaches applied to autonomy, perception, or sensor fusion.
  • Experience with autonomy development for off-highway vehicles or heavy equipment.
  • Experience integrating autonomy solutions into existing products and platforms.
  • Ability to bring practical, real-world autonomy experience and perspective to a growing team.

Work Environment

You will join a growing and dynamic technology development team where most members are smart, technically capable, and early in their careers. The environment encourages innovation, experimentation, and the freedom to explore new projects, supported by advanced tools and technologies that foster creativity and achievement. The culture values practical autonomy experience and real-world perspective, and you will play a key role in shaping how autonomy is implemented across a portfolio of off-highway machines. The team typically follows a hybrid work model with an official guideline of three days onsite and two days remote per week; in practice, most employees are onsite approximately four days per week with an average of one work-from-home day. There is substantial flexibility in scheduling, but hardware and machine interaction remain critical to the role, so regular onsite presence is important to test, validate, and refine autonomy solutions on actual equipment.

Job Type & Location

This is a Contract to Hire position based out of Frederick, MD.

Pay and Benefits

The pay range for this position is $55.28 - $69.71/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in Frederick,MD.

Application Deadline

This position is anticipated to close on Jul 27, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.


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About Actalent

Sourced by ZipRecruiter

Actalent connects passion with purpose. Our scalable talent solutions and services capabilities drive value and results and provide the expertise to help our customers achieve more. Every day, our experts around the globe are making an impact. We're supporting critical initiatives in engineering and sciences that advance how companies serve the world. Actalent promotes consultant care and engagement through experiences that enable continuous development. Our people are the difference. Actalent is an operating company of Allegis Group, the global leader in talent solutions.

Company size

5,001 - 10,000 Employees

Headquarters location

Hanover, MD, US

Year founded

1983

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