NVIDIA is hiring system engineers for its Deep Learning Algorithms team. Academic and commercial groups around the world are using GPUs to revolutionize deep learning and data analytics, and to power data centers. Join the team building software which will be used by the entire world. Work with the scientific community to implement the latest AI solutions. Ability to work in a dynamic, fast-paced environment is required as well as strong interpersonal skills.
In this role you will be interacting with internal partners, users, and members of the open source community to analyze, define and implement highly optimized solutions. The scope of these efforts includes a combination of crafting and implementing new solutions, defining APIs, performance tuning and analysis, analyzing functionality coverage across multiple solutions, build larger, coherent AI toolset. Are you ready for this challenge?
What you’ll be doing:
Research, prototype, develop and optimize solutions, tools and libraries for deep learning, data analytics, machine learning, or scientific computing.
Analyse, influence and improve deep learning libraries and frameworks standards and APIs according to good engineering practices.
Collaborate with team members and other partners.
What we need to see:
Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
8+ years of work experience in software development.
Excellent Python and C/C++ programming knowledge.
Experience in design and implementation of complex systems with decoupled dependencies.
Knowledge of design patterns and software engineering principles.
Strong analytical skill, knowledge about algorithms and data structures.
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
Good communication and documentation habits.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 292,500 PLN - 507,000 PLN for Level 4, and 375,000 PLN - 650,000 PLN for Level 5.Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 8+ years of work experience in software development
- Excellent Python programming knowledge
- Excellent C/C++ programming knowledge
- Experience in design and implementation of complex systems
- Knowledge of design patterns and software engineering principles
- Strong analytical skill, knowledge about algorithms and data structures
- Strong time-management and organization skills
- Good communication and documentation habits
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
