NVIDIA is looking for an excellent Software Developer who’s passionate about Networking, Encryption and Virtualization to join the Cloud networking R&D team. We are seeking an experienced engineer who is deeply technical, hands-on, and has a wide system view. You will work on NVIDIA innovative Virtual switch which use NIVIDA DOCA SDK for accelerated packet processing using NVIDIA's superior ConnectX NICs and Bluefield DPUs. We are looking to grow our teams with the most resourceful people in the world. If you're creative and autonomous, we want to hear from you!
What you’ll be doing:
Design and implement new features to accelerate Network and Storage
Develop pioneering virtual switch which use our HW offload capabilities.
Driving a complete engineering process, including refining requirements, engineering design of data structures/algorithms, implementation, peer review, developer testing, and post-GA support.
Drive sophisticated technical issues to closure that may occur in the cross-team boundary.
What we need to see:
Bachelor's degree or equivalent experience in Computer Science/Engineering
3+ years of proven experience in C Programming
Strong background in networking
Deep understanding of the system software stack, with a focus on software/hardware interaction, including platform firmware, device drivers, Linux kernel, and how user-space applications use system services to achieve for accelerated packet processing
Knowledge of Network Protocols L2/L3/L4 – Ethernet / IP / TCP / UDP
Ways to stand out from the crowd:
Background with SR-IOV, DPDK, RoCE technologies
Hands-on experience with Open Virtual Switch (or an equivalent solution)
Experience with RDMA (InfiniBand or RoCE) fabrics
Hands-on experience with HW offloads
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, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.
Skills Required
- Bachelor's degree or equivalent experience in Computer Science/Engineering
- 3+ years of proven experience in C Programming
- Strong background in networking
- Deep understanding of system software stack and software/hardware interaction
- Knowledge of Network Protocols L2/L3/L4 - Ethernet / IP / TCP / UDP
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.”
