Principal Software Engineer - Malware Detection & Machine Learning

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Job Description:

Why This Role is a Game-Changer for You
In today’s increasingly interconnected world, enterprise networks face an expanding attack surface and constantly evolving cyber threats. At VMware by Broadcom's Advanced Network & Security Division (ANSD), we’re at the forefront of defending against these threats. Our Anti-Malware Group is on a mission to innovate and deliver next-gen malware detection capabilities, empowering organizations to stay ahead of targeted, unknown, and sophisticated
malware attacks.

This is more than just a job, this is an opportunity to take ownership of cutting-edge technology that protects millions of users and companies worldwide. If you're driven by solving complex security problems and thrive in an environment that values both innovation and impact, we want you to be part of our journey.
 

Your Impact
As a Principal Software Engineer, you will play a pivotal role in shaping the future of malware detection. You will work on building robust, scalable, and intelligent detection systems that combine machine learning, advanced file analysis, and innovative security techniques. You’ll be at the forefront of the cybersecurity space, solving real-world challenges with state-of-the-art technology.

In the first 6-12 months, you’ll focus on:
● Architecting next-gen malware detection pipelines that leverage advanced Python and SQL, ensuring high performance and scalability in real-world production environments.
 

● Developing and optimizing malware detection algorithms using your ex pertise in C/C++ and deep knowledge of PE/ELF file formats, enabling us to detect even the most complex threats at the file level.
 

● Crafting tools for static malware analysis, utilizing assembly language to develop techniques that detect obfuscated, polymorphic, or advanced persistent threats.

● Leading productization efforts by deploying detection components in Kubernetes (K8s) environments, using Docker and Helm to ensure seamless automation and scaling.

● Applying your expertise in networking protocols (TCP/UDP, HTTP, VPNs) to
improve detection of network-based threats and build advanced network-layer defenses.

● Innovating with machine learning by applying classification models, YARA rules, and cutting-edge cybersecurity techniques to stay ahead of emerging attack vectors.
 

● Building and optimizing distributed data pipelines using frameworks like Apache Beam to collect, process, and analyze data in real-time for actionable insights in malware detection.
 

● Enhancing detection capabilities using Elasticsearch and Kibana to fine-tune
detection rules and drive continuous improvement in threat detection efficacy.
 

The Work: Dynamic, Impactful, and Collaborative
You’ll thrive in an agile, high-performance team where the work is both challenging and rewarding. Collaboration is key. We foster an environment of knowledge-sharing and continuous learning, and you’ll have the chance to mentor and learn from some of the brightest minds in cybersecurity and software engineering.

● Agile Development: In our agile environment, you’ll participate in regular sprint planning and sync-up meetings to align on priorities, ensuring your contributions directly impact the direction of the product.

● Self-Driven Success: You will take ownership of your work, managing your tasks using Jira and collaborating asynchronously via GitHub, Confluence, and Google Chat to achieve team objectives.
 

● Innovation at Scale: With access to cutting-edge technologies and the chance to influence the evolution of the platform, you'll have a direct impact on how we protect organizations from cyber threats globally.
 

The Team & Leadership Culture
We are a globally distributed team, with members across the US and Europe, that thrives on authenticity, trust, and excellence. You’ll be part of a group that values collaboration and growth. We face tough challenges, but we embrace the journey, constantly learning and growing together.<