Senior Software Developer, AI Networking
Location
Switzerland
Posted
28 days ago
Salary
0
Seniority
Senior
Job Description
Senior Software Developer, AI Networking
NVIDIA
• Developing AI networking communication frameworks and applications • Develop production tools and benchmarks used by multiple teams • Enable new AI models within benchmarking infrastructure • Design and implement automation systems • Collaborate closely with networking and hardware teams
Job Requirements
- B.Sc., M.Sc degree in Computer Science / Software engineering
- 5+ years or equivalent experience
- Professional Python development experience
- Solid Linux expertise
- Ability to work across a broad and evolving stack
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Related Guides
Related Job Pages
More Full-stack Engineer Jobs
Senior Software Engineer, Platform
SmithRxSmithRx is a tech-forward PBM committed to changing the way pharmacy benefits are managed.
• Focus on back-end architecture; designing, developing and maintaining SmithRx product features using various languages such as Golang, JavaScript/Typescript, Node, GraphQL, and SQL (amongst others), while leveraging full CI and CD to iterate quickly • Collaborate with stakeholders and technical leads to understand functional and technical requirements to produce high-quality, scalable software and services • Provide scope and risk estimates for system and feature builds by building technical design documentation • Continually apply software development best practices, design patterns, testing, automation, tools and technologies. • Leverage AWS technologies, like Lambda and Fargate, to handle various types of jobs and batch processing • Troubleshoot production issues by performing triages for issues that arise, assessing the impact, creating and executing a plan for short-term and long-term mitigation, and performing root cause analysis to prevent future occurrence of issues. • Coach/mentor junior team members in their assigned engineering projects by reviewing and providing feedback on code developed, and performing design and code reviews • Work with senior leadership to turn technical vision into a tangible roadmap every quarter • Be the cornerstone of a collaborative learning culture through mentorship, code reviews, the exploration of new technologies, and other innovations
• Lead and coordinate a distributed team of frontend, backend, mobile, and DevOps engineers • Provide architectural guidance across all layers of the platform • Drive technical decision-making and ensure alignment with the client’s engineering guidelines and product roadmap • Conduct code reviews and enforce coding standards and best practices • Serve as the primary technical point of contact between the delivery team and client stakeholders • Identify technical risks and proactively propose mitigation strategies • Facilitate sprint planning, standups, and retrospectives in collaboration with project management
• Provide technical leadership: define and drive the technical vision and architecture for crypto-related products, services, and infrastructure • Design, develop, and deliver scalable, secure and performant software components • Provide technical mentorship and guidance to senior and mid-level engineers; conduct code reviews and promote engineering best practices • Stay at the forefront of blockchain protocols, DeFi, tokenization standards, and crypto industry trends; evaluate and recommend emerging technologies • Drive system reliability, incident response, and operational excellence across crypto platform services
Staff Software Engineer, Unified Data Store
AirbnbAirbnb is a community based on connection and belonging.
• Lead the multi-year roadmap and long-term architecture for the UDS client stack, balancing immediate execution with systemic platform evolution. • Design and operate a high-performance data access layer that abstracts complexities like indexing, replication, and global consistency models. • Lead deep-dive design reviews and establish best practices for building fault-tolerant distributed systems across the organization. • Act as a bridge between infrastructure and product, creating a unified interface that simplifies how engineers interact with complex data systems. • Partner with UDS and Data Infrastructure teams globally to align architecture, drive adoption, and deliver high-impact solutions.




