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Software Engineer I – CyberGraph Team

CyberGraph – An AI enabled Social Graphing Product to detect and differentiate between Normal and anomalous behaviors.

Mimecast is looking for talented and energetic Software Engineers to join the CyberGraph Engineering team.  You’ll play a pivotal role in developing, and releasing quality Product Features that delight our customers.

Join us to help customers ‘Detect targeted email attacks, prevent data leaks, and limit attacker reconnaissance’.

Why Join Our Team?

“If you’re interested in next gen approach to keep organizations and digital world safe; give more power to end users in decision making on risks, and all this while working on AI, ML backed, Cloud hosted Product thwarting these sophisticated attacks by creating Social Graphs, then, we are waiting for you to be part of this cool product!” – Hiring Manager

What You’ll Do:

As a Software Engineer I for the CyberGraph team, working on latest Tech Stack. Your responsibilities will include:

• Participate in building state of the art services, that enable our customers to protect their organizations against modern security threats.
• Work with Cross-functional teams, other Developers and SDETs to implement new product features with high quality and on time.
• Collaborate with other Developers and engineers in the team.
• Deliver tested, high-quality, peer reviewed code.
• Debug and support customer and production issues as and when they arise.
• Take ownership and bottom-line for owned tasks, issues, bugs and work items.

What You’ll Bring:

• Demonstratable ability to work effectively in a collaborative team environment and contributing to a positive team culture.
• Strong communication skills with experience in effectively communicating and providing demo on technical concepts.
• Technical background in software engineering, with hands-on experience in developing backend services and / or Front End development.
• Any experience in development of Spring Boot Microservices will be added advantage.
• Strong understanding and hands-on with Java development is a must.
• Any experience with Cloud Based platform, ideally AWS would be desirable.
• Working experience with CI/CD deployments and Jenkins would be added advantage.
• Any experience or understanding in working with AI/ ML/ predictive models would be added advantage.

What We Bring:

Join our CyberGraph team to accelerate your career journey, working with cutting-edge technologies and contributing to projects that have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements.

Mimecast offers formal and on the job learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly – working in cross functional teams to build your knowledge!

We believe in ‘growth that’s good, we have ‘a culture that cares’ and we are on a ‘mission that matters’.

Our Hybrid Model: We provide you with the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to the office at least two days per week, because working together in person:

• Fosters a culture of collaboration, communication, performance and learning.
• Drives innovation and creativity within and between teams.
• Introduces employees to priorities outside of their immediate realm.
• Ensures important interpersonal relationships and connections with one another and our community!

#LI-OY1

DEI Statement

Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course.

We’re proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups.

We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application.

Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law.

In this role, you will be a member of the AI Networking Software team and part of the bigger DC networking organization. The team develops and owns the software stack around NCCL (NVIDIA Collective Communications Library), which enables multi-GPU and multi-node data communication through HPC-style collectives. NCCL has been integrated into PyTorch and is on the critical path of multi-GPU distributed training. In other words, nearly every distributed GPU-based ML workload in Meta Production goes through the SW stack the team owns.

At the high level, the team aims to enable Meta-wide ML products and innovations to leverage our large-scale GPU training and inference fleet through an observable, reliable and high-performance distributed AI/GPU communication stack. Currently, one of the team’s focus is on building customized features, SW benchmarks, performance tuners and SW stacks around NCCL and PyTorch to improve the full-stack distributed ML reliability and performance (e.g. Large-Scale GenAI/LLM training) from the trainer down to the inter-GPU and network communication layer. And we are seeking for engineers to work on the space of GenAI/LLM scaling reliability and performance.Software Engineer, SystemML – AI Networking Responsibilities

• Enabling reliable and highly scalable distributed ML training on Meta’s large-scale GPU training infra with a focus on GenAI/LLM scaling

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Specialized experience in one or more of the following machine learning/deep learning domains: Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g. PyTorch).

Preferred Qualifications

• PhD in Computer Science, Computer Engineering, or relevant technical field
• Experience with NCCL and distributed GPU reliability/performance improvment on RoCE/Infiniband
• Experience working with DL frameworks like PyTorch, Caffe2 or TensorFlow
• Experience with both data parallel and model parallel training, such as Distributed Data Parallel, Fully Sharded Data Parallel (FSDP), Tensor Parallel, and Pipeline Parallel
• Experience in AI framework and trainer development on accelerating large-scale distributed deep learning models
• Experience in HPC and parallel computing
• Knowledge of GPU architectures and CUDA programming
• Knowledge of ML, deep learning and LLM

For those who live in or expect to work from California if hired for this position, please click here for additional information. LocationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to

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. $56.25/hour to $173,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.