Role Overview
We are seeking highly skilled C/C++ engineers to work with system-level libraries and tools such as OpenSSL, FFmpeg, glibc, libssh2, zlib, systemd, tcpdump and support infrastructure for AI-driven software engineering systems. In addition, you will play a key role in building the backend stack for model training and evaluation pipelines that support intelligent systems like the SWE Bench, where AI agents assist in real-world software maintenance and patching workflows
Responsibilities:
Develop, maintain, and extend high-performance, secure system software in C/C++.
Integrate and work with open-source projects such as OpenSSL, FFmpeg, glibc, systemd, tcpdump, libssh2, ImageMagick, and FreeRDP.
Design tools and infrastructure to support model training and evaluation workflows.
Build systems for suggesting code patches based on bug reports, issue descriptions, and vulnerability IDs.
Automate assessment of PRs and patch diffs for correctness and completeness.
Develop solution plans, set up reproducible environments, and evaluate test outcomes.
Collaborate with AI engineers on integrations involving Rust bindings and Python-based orchestration tools.
Analyse low-level system behaviour using profiling, tracing, and debugging tools.
Write clear, maintainable code and documentation for internal systems and external libraries.
Offer Details:
Contract Duration: 12 months
Pay: INR 80K - 1lakh per month (net/take-home)
Openings: 18
Mode of work: Fully Remote
Immediate requirement
Required Qualifications:
Expert-level 4+ yrs of experience in C and/or C++ (C99+, C++11/14/17).
Strong understanding of systems programming, memory management, and networking internals.
Hands-on experience with Linux kernel, glibc, and multithreaded programming.
Familiarity with libraries such as OpenSSL, zlib, FFmpeg, libssh2, and ImageMagick.
Proficiency with debugging and diagnostics tools like gdb, valgrind, perf, and tcpdump.
Experience integrating or extending open-source libraries and toolchains.
Comfortable with build systems such as make, cmake, and autotools.
Experience with Python, bash scripting, and Docker.
Exposure to DevOps practices.
Good to have:
Experience with model evaluation workflows involving static and dynamic code analysis.
Understanding of AI-assisted code generation tools and feedback loops.
Background in building tools for test orchestration, sandboxing, and runtime validation.
Additional Details:
Commitments Required: 40 hours per week with an overlap of 4 hours with PST
Engagement type: Contractor assignment/freelancer (no medical/paid leave)
Evaluation Process
2 rounds of technical interview with 30 minutes each