Senior Software Engineer, GTL

Reposted 10 Days Ago
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Munich, Bayern
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Software Engineer at NVIDIA, you will enhance customer solutions by developing sustainable, production-quality software and collaborating with various engineering teams.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

For more than two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With a rare focus on this field, we offer specialized platforms for the gaming, professional visualization, data center and automotive markets. Our work is at the center of the most consequential mega-trends in technology - virtual reality, artificial intelligence and self-driving - and there has never been a more exciting time to join our team! 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

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Top Skills

AI
Ci/Cd
Cuda
Databases
Go
Grafana
GraphQL
JIRA
Machine Learning
Rest
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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