Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends and help make the world a safer place with leading investigative analytics software solutions.

We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.

We are looking for a highly motivated R&D Software Engineer with strong algorithmic thinking, problem-solving skills, and hands-on software development experience. While experience in signal processing, communications, DSP, or RF is a strong advantage, it is not a requirement.

This role is ideal for engineers who enjoy tackling complex problems, designing practical solutions, and turning ideas into working systems. You will work in a multidisciplinary environment at the intersection of algorithms, software and hardware, with real impact on end products.

As a Cognyter you will:

• Design and implement algorithms and software solutions for complex problems
• Develop high-quality, production-ready code in C++ and Python
• Take ownership of features and components from concept through implementation and validation
• Build prototypes, run experiments, and iterate quickly based on results
• Participate in code reviews, architecture discussions, and technical decision-making
• Document designs, trade-offs, and implementation details

For that mission you’ll need:

• Strong algorithmic thinking and problem-solving abilities
• 5+ Years of experience in software design and development, not just theoretical or academic work
• Solid proficiency in C++ and/or Python
• Good understanding of data structures, algorithms, and software engineering principles
• Ability to learn new domains quickly and apply them effectively
• High motivation, strong ownership mentality, and a “get things done” attitude
• Ability to work independently while collaborating effectively in a team

Preferred Qualifications (Nice to Have)

• Background or experience in signal processing, communication systems, DSP, RF
• Experience with hardware–software integration or system-level development
• Familiarity with Linux-based environments
• Experience moving projects from research or prototype to production