Senior C++ Engineer
🇵🇱 Poland
Management
Python
C++
C#
Docker
Kubernetes
Azure
Machine Learning
Data Science
Devops
Senior C++ Engineer
from 🇵🇱 Poland
We are seeking aSenior C++ Engineer to collaborate with Data Scientists and Machine Learning experts in transforming prototype algorithms into hardened, reliable, production-grade applications. In this role, you will convert research workflows into high-performance C++ systems capable of running on resource-constrained hardware or scalable cloud environments.
Responsibilities
- Collaborate 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++
- Conversion of research and prototype ML/data-processing workflows (primarily Python-based) into high-performance, reliable C++ production systems
- Implementation of data quality safeguards, sanitization and required low-level interfaces for real-time inference on streaming data
- Optimization of code for predictable behavior, high reliability and efficient resource utilization (compute/memory/storage) on resource-constrained environments
- Support the development of high-performance, high-reliability solutions capable of running on resource-constrained hardware or in cost-effective, highly-scalable cloud applications
- Translation of real-world process dynamics, sensor behavior and system constraints into realistic online control solutions
- Documentation and communication of assumptions, results, limitations, risks and deployment considerations for discussion with the broader technical audience
Requirements
- 5+ years of experience in modern C++ software development using C++17/C++20
- Understanding of multithreading, concurrency, synchronization and performance optimization in Linux environments
- Background in developing deterministic, low-latency software for real-time systems
- Proficiency in CMake, modern C++ build systems and Conan package management for C++
- Skills in profiling and optimizing CPU/memory utilization in constrained Linux environments
- Competency in writing unit tests and automated tests
- Proven capability to debug low-level communication issues and optimize performance under constrained environments
- Hands-on expertise 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
- Familiarity with Agile toolsets such as Azure DevOps, Atlassian tools like Confluence, JIRA and Bitbucket
- Fluent English communication skills at a B2+ level
Nice to Have
- Capability to independently deploy and manage cloud-native or edge-native microservices in Linux environments
- Flexibility to work closely with research, data science and platform engineering teams to bridge prototype and production environments
- Skills in Python and C++ interoperability
- Familiarity with industry IoT standards and protocols such as MQTT/SparkplugB, ZeroMQ, ProtoBuf, Kafka and HTTP
- Expertise in Linux, Bash/Shell scripting, Docker, TCP/IP networking, Kubernetes, systemd, logging, OTA/rollback strategies and advanced debugging techniques
- Background in deploying software in industrial environments, including remote diagnostics and field support
- Familiarity with .NET/C#






