Job summary
Job post source
This job is directly from NVIDIA
Job overview
The Cloud Software Services Engineer - Backend at NVIDIA is a senior role focused on architecting and delivering GPU cloud service platforms, impacting AI and deep learning computing.
Responsibilities and impact
The engineer will design and implement complex PaaS for GPU cloud services, collaborate with cross-functional teams, ensure product consistency, drive test automation and CI/CD, and support software functionality.
Compensation and benefits
The base salary ranges from $184,000 to $356,500 depending on location and experience, with eligibility for equity and benefits.
Experience and skills
Requires 8+ years experience with complex microservices, strong OOP and design patterns knowledge, expertise in Java, REST APIs, databases, test-driven development, and excellent communication skills; preferred skills include Golang, Kubernetes, cloud platforms, and various databases.
Career development
Opportunities to work on cutting-edge AI and GPU cloud technologies at a leading tech company, with potential to lead and mentor teams and influence platform design.
Work environment and culture
NVIDIA values innovation, teamwork, diversity, and a dynamic, highly interactive environment fostering creativity and learning.
Company information
NVIDIA is a leader in computer graphics, AI, and accelerated computing with a 25+ year legacy of innovation, known for its GPU technology powering AI and autonomous systems.
Team overview
The role involves working closely with partners, stakeholders, UX/UI designers, front-end engineers, DevSecOps, and SRE teams to deliver cloud service platforms.
Application process
Applications are accepted on an ongoing basis with no specific deadlines mentioned.
Unique job features
The role offers the chance to work on pioneering GPU cloud services for AI and deep learning with a focus on test-driven development and cross-team collaboration.
Company overview
NVIDIA is a leading technology company known for designing and manufacturing graphics processing units (GPUs) for gaming, professional visualization, data centers, and automotive markets. They generate revenue primarily through the sale of GPUs and related software, as well as through their growing presence in AI and machine learning sectors. Founded in 1993, NVIDIA has a rich history of innovation, including the introduction of the CUDA platform, which revolutionized parallel computing. Their recent advancements in AI, autonomous vehicles, and high-performance computing continue to position them at the forefront of technological development.
How to land this job
Tailor your resume to highlight extensive experience in building complex microservices, emphasizing proficiency in Java, Springboot, Golang, and cloud-native technologies like Kubernetes and Docker, as these are central to NVIDIA's backend GPU cloud services.
Focus on showcasing your expertise in designing scalable, performant, and highly available distributed systems, along with strong knowledge of OOP, design patterns, and test-driven development practices, which are critical for this role.
Apply through multiple platforms including NVIDIA's official careers page and LinkedIn to maximize your application visibility and increase your chances of securing an interview.
Connect with current NVIDIA Cloud Software Services engineers and related backend teams on LinkedIn; initiate conversations by referencing NVIDIA’s leadership in AI and GPU cloud innovation or by asking about their experiences working on cloud platform scalability and microservices architecture.
Optimize your resume for ATS by including key terms from the job description such as 'microservices,' 'Java,' 'Springboot,' 'Kubernetes,' 'test-driven development,' 'distributed systems,' and 'GPU cloud services' to ensure your resume passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate applying across multiple job boards, tailor your resume with the right keywords, and identify relevant NVIDIA contacts on LinkedIn, allowing you to spend more time preparing for interviews and networking effectively.
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