Senior Software Engineer, GTL
Nvidia
Munich, Germany
We have an open position for a Senior Software Engineer within our internal platforms team. This role sits at the intersection of customer solutions and product engineering. You will take ad-hoc solutions created to solve immediate customer needs and evolve them into scalable, robust, and production-quality features that our core development teams can maintain and expand. This is a highly impactful hands-on engineering role, perfect for someone who thrives on building, refactoring, and generalizing one-off solutions into sustainable systems that serve a broad range of users.
What you will be doing:
- Develop production-grade software by turning prototypes and ad-hoc solutions into maintainable features.
- Act as a bridge between solution engineering and core development, ensuring quick wins evolve into sustainable product capabilities.
- Collaborate closely with variety of engineering teams to ensure smooth integration of new features.
- Contribute to system development and architecture discussions, ensuring features that are customer focused align with platform strategy.
- Write high-quality code, tests, and documentation to ensure long-term maintainability.
What we need to see:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 8+ years of software engineering experience with exposure to distributed systems, platform services, or developer tools
- Excellent programming skills in Go and proficient knowledge in Software Architectures, System-design and understanding of automation frameworks and tools.
- Strong understanding of software architecture, APIs (REST/GraphQL), CI/CD workflows, Databases, Grafana, Jira, Server-Client Architectures.
- Solid debugging, problem-solving, and cross-team communication skills.
- Comfort working in fast-paced environments where priorities shift between experimentation and delivery.
Ways to stand out from the crowd:
- Experiences with programming languages such as Perl, Python.
- Experiences in Nvidia Technologies including GPU, CUDA.
- Strong familiarity with LLM, AI and Machine Learning and HPC.
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