C++ Engineer - REMOTE

C++ ENGINEER – REMOTE

Work closely with Data Scientists and Machine Learning experts to turn prototype algorithms and data processing pipelines into hardened, reliable, production-grade "always-on" applications written in C++.

Key Responibilities:

• Convert research and prototype ML/data-processing workflows (primarily Python-based) into high-performance, reliable C++ production systems

• Implement data quality safeguards, sanitization, and required low-level interfaces for real-time inference on streaming data

• Optimize code for predictable behavior, high reliability, and efficient resource utilization (compute/memory/storage) on resource-constrained environments

• Consider and implement security best-practices; least privilege, secret handling, signed artifacts

• Contribute to vulnerability scanning, SBOM generation, and patching strategies for deployed devices.

• Perform testing with real hardware and physical devices

• Manage release artifacts, versioning, and distribution channels for internal and external deployments.

Your profile:

• Must be an excellent communicator, able to clearly articulate and hear & understand abstract concepts;

• Excellent problem-solving skills and ability to work independently and collaboratively;

• Experience working with embedded Linux or industrial edge computing environments;

• Strong expertise in modern C++ software development using C++17/C++20;

• Strong understanding of multithreading, concurrency, synchronization, and performance optimization in Linux environments;

• Experience developing deterministic, low-latency software for real-time systems;

• Experience with CMake and modern C++ build systems;

• Strong experience with Conan package management for C++;

• Experience profiling and optimizing CPU/memory utilization in constrained Linux environments;

• Experience writing unit tests and automated tests;

• Proven ability to debug low-level communication issues and optimize performance under constrained environments;

• Strong hands-on experience designing, deploying, and debugging containerized applications using Docker in Linux production environments;

• Experience with CI/CD & Release pipelines: multi OS runners, artifact signing, SBOMs/vulnerability scanning;

• Experience working with Agile toolsets and technologies such as Azure DevOps and/or Atlassian tools like Confluence, JIRA, and Bitbucket.