Jobs
Job Title: Senior Software Algorithm Engineer
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
Anticipated Posting End: 8/31/2026
The Opportunity: This position is for a Senior Software Algorithm Developer looking for new challenging problems. As an Algorithm Developer, you will support the development of algorithms in a multitude of disciplines from Signal/Image Processing, Space Domain Awareness (SDA), Satellite Communication (SATCOM), and Signals Intelligence (SIGINT). As a technical lead, you will guide a team of developers to see these algorithms from prototype to operations.
Responsibilities:
- Leading a small software development team consisting of researchers, software algorithm developers, and full-stack/cloud-native developers to implement a multitude of algorithms which solve a broad set of challenges for our various customers and their domains
- Applying knowledge of data structures and algorithms to create efficient solutions to our customers’ needs
- Using cloud services to deploy software solutions
- Reviewing relevant publications to understand and apply cutting edge concepts to defense and commercial applications
- Writing technical documentation supporting code, program capabilities, and user-guides
Qualifications:Required:
- B.S. in computer science, computer engineering, mathematics, physics, or any other relevant STEM fields
- Experience leading an interdisciplinary team of researchers and software developers
- Effective communicator with the ability to write and present technical reports
- Experience with any of the following languages: Python, C/C++, Java, or Rust
- Experience developing algorithms in any one or more of the following domains: Signal/Image Processing, Space Domain Awareness (SDA), Satellite Communication (SATCOM), and Signals Intelligence (SIGINT)
- 5+ years of software development experience preferably developing algorithms for high performance computing
- Active TS/SCI U.S.
Government Security Clearance:
- Willingness to obtain a Counter Intelligence (CI) polygraph if required in support of our customer
Desired:
- M.S. or PhD in computer science, computer engineering, mathematics, physics, or any other relevant STEM fields
- Experience with Linux
- Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
- Experience with any of the following additional languages: C#, Go, or R
- Experience with popular computational libraries: OpenCV, Boost, Eigen, Dlib, etc.
- Experience with source code version control systems
- Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
- Experience in application deployment, virtualization, and containerization
- Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
- Experience developing modeling and simulation environments or developing Open
AI Gym environments for Reinforcement Learning problems:
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$82,100-$172,400
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
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About CACI

CACI
PublicCACI International Inc. is an American multinational professional services and information technology company headquartered in Northern Virginia. CACI provides services to many branches of the US federal government including defense, homeland security, and intelligence.
10,001+
Employees
Northern Virginia
Headquarters
$5.2B
Valuation
Reviews
3.5
10 reviews
Work-life balance
3.8
Compensation
2.7
Culture
4.0
Career
3.2
Management
2.8
65%
Recommend to a friend
Pros
Flexible schedule and remote work options
Good benefits and health coverage
Supportive team culture and friendly coworkers
Cons
Below average compensation and salary
Poor management and lack of leadership direction
Limited career advancement opportunities
Salary Ranges
21 data points
Principal/L7
Senior/L5
Principal/L7 · SENIOR PRINCIPAL ERP CONSULTANT
1 reports
$180,665
total per year
Base
$157,100
Stock
-
Bonus
-
$180,665
$180,665
Interview experience
2 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer rate
50%
Experience
Positive 50%
Neutral 0%
Negative 50%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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