Develop high-performance C/C++ SDK software for Nokia’s coherent DSP ASICs and optical networking products on Linux. Collaborate with ASIC, firmware, hardware, and architecture teams across pre-silicon development and post-silicon validation. Build APIs, frameworks, and automation solutions while addressing hardware-software integration, performance, testing, debugging, and system quality challenges.
Join Nokia's SDK team and play a key role in developing next-generation Software Development Kits (SDKs) for advanced DSP ASICs. You will collaborate closely with cross-functional teams, including ASIC, Firmware, Hardware Design, and Architecture, to drive innovation across the entire product lifecycle. From pre-silicon development through post-silicon validation, you will help ensure seamless integration of cutting-edge technologies into industry-leading pluggable products.
- Build innovative SDK software that powers Nokia's next-generation coherent DSP ASICs and optical networking solutions
- Develop high-performance C/C++ software on Linux platforms for cutting-edge networking products.
- Work with industry-leading ASIC, firmware, hardware, and architecture teams throughout the entire product lifecycle, from pre-silicon development to post-silicon validation.
- Solve complex technical challenges involving hardware-software interaction, performance optimisation, and system integration.
- Contribute to advanced SDK APIs, software frameworks, and automation solutions that enable faster product development and deployment.
- Drive software quality through testing, debugging, automation, and continuous improvement initiatives.
- Collaborate with global engineering teams to deliver innovative technologies that power the future of networking.
What We're Looking For:
- 2-4 years of experience in software development using C/C++.
- Strong programming and debugging skills in Linux environments.
- Understanding of data structures, algorithms, operating systems, and embedded software concepts.
- Familiarity with embedded systems, networking protocols, DSP, ASICs, or telecommunications is a plus.
- Experience with scripting languages such as Python or Shell scripting is desirable.
- Strong analytical, problem-solving, and communication skills.
- Ability to collaborate effectively in a fast-paced, cross-functional team environment.
Similar Jobs
Software
Build and maintain automated API, UI, and integration tests; own quality for assigned features and services; integrate testing into CI/CD pipelines; monitor test reliability and pipeline health; collaborate with engineers on testability, root-cause analysis, and defect prevention; and apply risk-based testing and emerging agent-assisted workflows.
Top Skills:
Agent-Assisted WorkflowsAgentic WorkflowsApi TestingC#Ci/CdGrafanaIntegration TestingJenkinsLinuxPlaywrightTest AutomationUi Testing
Cloud • Security • Software • Cybersecurity
Automate testing, deployment, and validation for cloud-native platform services. Develop unit, integration, and end-to-end test frameworks; troubleshoot deployment issues; create test plans; validate rollback strategies; collaborate across engineering teams; and automate platform deployments. The role requires expertise in Python, Pytest, Linux, Bash, CI/CD tools, cross-architecture debugging, Debian packaging, QEMU, and performance tuning.
Top Skills:
ArmBashDebianGithub ActionsGoJenkinsLinuxMicroservicesPerlPytestPythonQemuSaltstackX86
Cloud • Security • Software • Cybersecurity
Develop and lead automated testing for cloud-based microservices and compute services. Build and maintain unit, integration, and end-to-end test frameworks and pipelines; create test plans; automate deployments, migrations, and rollbacks; troubleshoot complex cross-platform issues; and mentor junior engineers. The role requires expertise in Python, Pytest, Linux performance, cloud-native infrastructure, architecture-specific debugging, CI/CD tools, and modern software development practices.
Top Skills:
ArmBashCloud-Native InfrastructureDebianGithub ActionsGoJenkinsLinuxMicroservicesPerlPytestPythonQemuSaltstackX86
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
