Senior Software Engineer, GTL at NVIDIA

Munich, Bavaria, Germany

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, Gaming, Automotive, Data CenterIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

Software EngineeringPrototypingRefactoringScalable SystemsProduction SoftwareFeature Development

Questions & Answers

Common questions about this position

What experience level is required for this Senior Software Engineer role?

The role requires 8+ years of software engineering experience with exposure to distributed systems, platform services, or developer tools.

What programming languages and technical skills are needed?

Excellent programming skills in Go are required, along with strong understanding of software architecture, APIs (REST/GraphQL), CI/CD workflows, Databases, Grafana, Jira, and Server-Client Architectures.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What education is required for this role?

A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience is required.

What does the company culture look like at NVIDIA?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, with a legacy of innovation fueled by great technology and amazing people.

What soft skills are important for this position?

Solid debugging, problem-solving, and cross-team communication skills are required, along with comfort working in fast-paced environments.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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