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Algorithm Jobs in Baltimore, MD (NOW HIRING)

Specifically, we are looking for an AI/ML Engineer to design, create, test, and productize AI/ML algorithms in support of the FFPP VISTA Development and Sustainment (MT&E Team) mission. The AI/ML ...

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture, operating systems, database systems, software engineering, discrete mathematics, and theory of ...

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How much do algorithm jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for algorithm in Baltimore, MD is $77.99, according to ZipRecruiter salary data. Most workers in this role earn between $66.39 and $88.37 per hour, depending on experience, location, and employer.

What jobs use algorithms?

Jobs that use algorithms include roles in software development, data science, machine learning engineering, and cybersecurity. These positions require skills in programming, mathematical modeling, and understanding of data structures to develop and optimize algorithms for various applications.

What are the key skills and qualifications needed to thrive in the Algorithm position, and why are they important?

To excel as an Algorithm Engineer, you typically need a strong background in computer science, mathematics, and programming languages such as Python, C++, or Java, often supported by a relevant degree. Familiarity with algorithms and data structures, version control systems like Git, and experience with technical tools such as MATLAB or TensorFlow are highly valued. Analytical thinking, problem-solving abilities, and effective communication skills are crucial soft skills for this position. These competencies are essential to create efficient algorithms, collaborate across teams, and drive innovation in computational solutions.

What is the job of an algorithm?

An algorithm is a set of step-by-step instructions used to solve a specific problem or perform a task. In a job context, developing and optimizing algorithms involves programming skills, understanding data structures, and analyzing efficiency to improve software performance. Algorithm-related roles often require knowledge of programming languages and problem-solving abilities.

What is an Algorithm job?

An Algorithm job typically involves designing, analyzing, and optimizing algorithms to solve complex problems efficiently. Professionals in this role work in fields like computer science, data science, artificial intelligence, and software development. They create algorithms for tasks such as data processing, machine learning, search optimization, and automation. Strong mathematical and programming skills are essential, along with knowledge of algorithmic complexity and data structures.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand fields like machine learning, AI, or at major tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and typically requires extensive experience, advanced skills, and sometimes leadership roles.

What are typical projects or tasks that an Algorithm Engineer works on?

As an Algorithm Engineer, you might work on developing and optimizing algorithms for tasks like data analysis, machine learning, computer vision, or operations research, depending on the industry. Daily responsibilities often include writing and testing code, analyzing performance bottlenecks, and collaborating with data scientists, product managers, or software engineers to integrate algorithms into production systems. You may also be involved in researching new techniques, reviewing technical literature, and presenting your findings to technical and non-technical audiences. This role often requires balancing creative problem-solving with practical implementation and continuous improvement.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, skilled tradespeople, and creative roles like writers and designers, are less likely to be fully replaced by AI. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that AI cannot replicate easily.
2026 PhD Graduate - Autonomous Systems Design Engineer: Controls, Navigation, Sensors, and Simulatio

2026 PhD Graduate - Autonomous Systems Design Engineer: Controls, Navigation, Sensors, and Simulatio

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Johns Hopkins Applied Physics Laboratory rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 59 rated research


Job description

Description
Do you enjoy problem solving and applying your skills across a broad range of applications and research?
Do you have a passion for the design, analysis, simulation, and prototyping of innovative autonomous systems and algorithms?
If so, the Strike Guidance, Navigation, Controls (GNC), and Seekers group is looking for PhDs who are pursuing degrees in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Software Engineering, Systems Engineering, Physics, Mathematics, or Computer Science. Our group's goal is to ensure the United States has a distinct technology advantage in autonomous systems by leading next generation development and prototyping. We do this by providing world class design solutions with a focus on:
  • Guidance, Navigation, and Controls
  • Radio Frequency (RF) or Electro-Optical/Infrared (EO/IR) Sensors
  • Modeling and Simulation (M&S)
  • Hardware/Software Development and Test
  • Multi-Disciplinary Design Optimization

We are seeking creative problem solvers with capabilities and interests to join our team in taking on a breadth of technical challenges. We work on a variety of systems including: hypersonic missiles, submarines, cruise missiles, and autonomous flight vehicles. We are committed to developing exceptional talent and supporting a culture of innovation, and as part of our group you will have the chance to grow your expertise across these technologies.
As a PhD member on our team you will...
  • Have the opportunity to pioneer design and research in guidance, navigation, and control algorithms in support of the full lifecycle development of advanced systems.
  • Develop innovative models for simulating and analyzing a variety of complex physics and sensors.
  • Test the capability of software and algorithms within an embedded systems environment.
  • Apply multi-disciplinary optimization techniques for early phase vehicle designs.
  • Develop software to support sophisticated simulation and algorithm development.
  • Collaborate with a team of engineers and interact with government sponsors.

Our team works on a set of subject areas that feed into the design of an autonomous system. The following sections provide some more background on those unique areas:
Guidance, Navigation, and Control
  • We provide world class expertise in the areas of guidance, navigation, and control to support the full life cycle development of vehicles both as partners with contractors as well as in the development of our own prototype systems.
  • Types of work: Advanced algorithm research and development and application of algorithms to flight test systems
  • Degrees: Electrical engineering, aerospace engineering, mechanical engineering, mathematics
  • Skills: Guidance, inertial navigation, modern/adaptive control, classical control, optimization

Radio Frequency and Electro-Optical/Infrared Sensor
  • We develop sensor and seeker solutions for advanced autonomous systems and weapons.
  • Types of work: RF and EO/IR system design, sensor and seeker performance analysis and M&S, and receiver signal processing
  • Degrees: Electrical engineering, physics, mathematics, and computer science/engineering
  • Skills: Electromagnetic wave propagation, RF antennas, optics, signal and image processing, radar, programming/coding

Modeling and Simulation
  • We apply a wide range of skills to the development of multi-physics simulations for a broad range of concepts. We also use the models to analyze multi-disciplinary design problems.
  • Types of work: Multi-disciplinary vehicle design optimization and analysis, high fidelity physics-based simulation modeling, algorithm development, simulation software architecture
  • Degrees: Mathematics, physics, engineering, computer science/engineering
  • Skills: Dynamics, programming/coding, algorithms, optimization

Hardware/Software Development and Testing
  • We support sensor testing and characterization in conjunction with hardware-in-the-loop analysis for prototype systems advancing towards flight tests.
  • Types of work: Hardware-in-the-loop development, sensor characterization, embedded systems
  • Degrees: Computer science/engineering, electrical engineering
  • Skills: Hardware testing, embedded systems, software

Qualifications
You meet our minimum qualifications for the internship if you...
  • Are pursuing a PhD in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Software Engineering Systems Engineering, Physics, Mathematics, or Computer Science.
  • Proven internship experience or possess extensive classroom project work in a subject matter in any of the following areas: guidance, inertial navigation, modern/adaptive control, classical control, optimization; electromagnetic wave propagation, RF antennas, optics, signal and image processing, radar, programming/coding; dynamics, programming/coding, algorithms, optimization; hardware testing, embedded systems, sensor testing artificial intelligence and software development.
  • Are skilled in or have knowledge of coding practices in Matlab/Simulink, C++, Python, or other languages
  • Have a curiosity and appetite for exploring and solving hard problems.
  • Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
  • Have a minimum 3.0 GPA on a 4.0 scale. Note: When prompted to upload attachments, please include a copy of your college transcripts (unofficial transcripts are acceptable).

You'll go above and beyond our minimum requirements if you...
  • Have professional experience developing and analyzing control/dynamical systems or sensors.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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