C++ Software Developer

About the Company

Neysa, an AI Acceleration Cloud System provider, democratizes AI adoption with purpose-built platforms and services for AI-native applications and workloads.

Co-founded by industry leaders, Neysa empowers businesses to discover, deploy, and scale Gen AI and AI use cases securely and cost-effectively.

Our flagship platforms, Neysa Velocis, Neysa Overwatch, and Neysa Aegis, accelerate AI deployment, optimize network performance, and safeguard AI/ML landscapes. Neysa is committed to enabling AI-led innovation across industries and geographies.

About the Role

Responsibilities:

• Work with time-sensitive and streaming data for analysis, filtering and sorting, for example, the C++ STL
• Create parallel processing architectures which can scale up and down on demand
• Interact with external systems and handle their idiosyncrasies in a live, data-heavy, time-constrained environment
• Provide a resilient and predictable platform for upper-layer applications
• Come up with bespoke solutions for real-world data handling problems
• Handle cryptography and communication security over untrusted channels

Required Skills

• Have a deep understanding of object-oriented programming, socket programming and memory management techniques
• Have experience with multi-threaded and multi-core programming and its associated concurrency, locking and synchronisation techniques
• Be aware of interprocess communications (IPC/gRPC) and message queueing
• Be comfortable with mathematical functions and the associated libraries in system programming. You also should be unafraid to use math to optimise your code
• Understand synchronous and asynchronous communication, and when to use what
• Be comfortable in handling low level byte operations

Preferred Skills

• The initiative to work on your own, at your own pace, but on a schedule
• The courage to iterate, re-iterate and the re-re-iterate till you get it right. And then defend your design philosophy
• Think through all the possible applications of your work, and then making sure it performs awesome in every one of them
• Making the right algorithm choices based on design requirements
• Write good, commented and (hopefully) error free code. Logic failures are acceptable, but poor error handling is not

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