Applied Algorithms Engineer

Johns Hopkins Applied Physics Lab; Huntsville (AL); On-site; USD 100,000 - 245,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory (APL) in Huntsville, AL, seeks innovative specialists to advance U.S. Missile Defense systems through advanced analysis, AI/ML, data fusion, and prototype development.

You will work on sensing, engagement, and fire-control concepts, delivering insights to sponsors and transitioning ideas to fielded systems. Requirements include a Bachelor's degree in a related field, 5+ years of experience, strong analytical skills, and an active Top Secret clearance with

Qualifications

• Bachelor's degree in Math, Computer Science, Physics, Electrical Engineering or a related field.
• 5+ years of professional experience.
• Detail-oriented with strong analytical and problem-solving skills.
• Familiarity with probabilistic algorithms and numerical methods.
• Programming experience with MATLAB, C++, Python, or other high-level languages.
• Self-motivated to dig into data to root cause issues and understand system performance.
• Ability to work independently and in a team, with collaboration across teams and contractors.
• Active Top Secret level security clearance by start date with eligibility for Top Secret/SCI.

Responsibilities

• Conduct research and development related to U.S. Missile Defense systems.
• Assist in development, testing, and analysis of sensing, engagement, and fire control concepts.
• Implement algorithms and design modeling and simulation components of systems.
• Develop AI/ML-based concepts and data fusion and tracking techniques.
• Analyze simulation outputs and translate results into actionable insights.
• Deliver presentations to technical staff, leadership, and sponsors.
• Develop prototype capabilities and transition ideas to fielded systems.

Skills

Analytical thinking

Problem solving

Self-motivation

Collaboration

Education

Bachelor's degree in Math, CS, Physics or Electrical Engineering

Tools

MATLAB

C++

Python

Job description

Description

Do you love developing creative solutions to challenging problems?

Are you passionate about using innovation and advanced technologies to solve some of our country's critical challenges?

If so, we're looking for someone like you to join our team at APL!

We are seeking innovative and highly talented candidates to join our group, which specializes in advanced research and program of record activities for rapid capability advancements. In particular, you will conduct systems analysis, identify gaps, and develop novel concepts to revolutionize defensive capabilities for the U.S.A. You will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning (AI/ML) techniques, object tracking and discrimination, data fusion concepts, etc. in support of a wide variety of defense systems. You will be joining a hardworking team of engineers and scientists who are passionate about developing high-impact solutions at the forefront of APL's mission to provide innovative solutions to critical challenges in the area of missile defense.

As a member of our team you will...

• Be located at the Sponsor site in Huntsville, AL with reach back to the technical team in Laurel, MD
• Conduct research and development activities related to U.S. Missile Defense systems.
• Assist in the development, testing, and analysis of new concepts related to sensing, engagement, and fire control.
• Implement algorithms and design modeling and simulation components of systems.
• Develop AI/ML-based concepts and technical solutions to solve challenging problems.
• Apply novel data fusion and tracking concepts for object tracking and discrimination applications.
• Analyze simulation outputs and translate results into clear insights for the research sponsor.
• Deliver presentations to technical staff, program leadership, and government sponsors.
• Develop prototype capabilities and work with partner organizations to transition ideas to fielded systems.

Qualifications

You meet the minimum requirements for the job if you…

• Possess a Bachelor's degree in Math, Computer Science, Physics, Electrical Engineering or a related field.
• Have 5+ years of professional experience
• Are detail-oriented with strong analytical and problem-solving skills.
• Have familiarity with probabilistic algorithms and numerical methods
• Have programming experience with MATLAB, C++, Python, or other high-level programming languages.
• Are highly self-motivated to dig into data to root cause issues and to understand system performance.
• Have the ability to work both independently and as part of a larger team, as well as effective collaboration skills with other teams and contractors.
• Hold an active Top Secret level security clearance by your start date and can ultimately obtain Top Secret / SCI 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

You'll go above and beyond our minimum requirements if you...

• Have a Master's or higher degree in Engineering, Math, Physics, Computer Science, or a related field.
• Have 5+ years of professional experience, including technical leadership roles.
• Have knowledge and experience with AI/ML technologies and MLOps practices.
• Have domain knowledge of Navy, Missile Defense Agency, Space Force, or Air Force systems.
• Have a current final Secret or Top Secret clearance.

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 [e-mail].

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

$100,000 Annually

Maximum Rate

$245,000 Annually